2024
| Hacker, C., Mocchi, M. M., Xiao, J., Metzger, B., Adkinson, J., Pascuzzi, B., Mathura, R., Oswalt, D., Watrous, A., Bartoli, E., Allawala, A., Pirtle, V., Fan, X., Danstrom, I., Shofty, B., Banks, G., Zhang, Y., Armenta-Salas, M., Mirpour, K., … Bijanki, K. R. (2024). Aperiodic (1/f) neural activity robustly tracks symptom severity changes in treatment-resistant depression. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. https://doi.org/10.1016/j.bpsc.2024.10.019 |
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| Parker, S. R., Calvert, J. S., Darie, R., Jang, J., Govindarajan, L. N., Angelino, K., Chitnis, G., Iyassu, Y., Shaaya, E., Fridley, J. S., Serre, T., Borton, D. A., & McLaughlin, B. L. (2024). An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation. bioRxiv, 2024.05.29.596250. https://doi.org/10.1101/2024.05.29.596250 |
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| Herron, J., Kremen, V., Simeral, J. D., Dawes, H., Worrell, G. A., Starr, P. A., Denison, T., & Borton, D. (2024). The convergence of neuromodulation and brain–computer interfaces. Nature Reviews Bioengineering, 2(8), 628–630. https://doi.org/10.1038/s44222-024-00187-0 |
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| Celinskis, D., Black, C. J., Murphy, J., Barrios-Anderson, A., Friedman, N. G., Shaner, N. C., Saab, C. Y., Gomez-Ramirez, M., Borton, D. A., & Moore, C. I. (2024). Toward a brighter constellation: multiorgan neuroimaging of neural and vascular dynamics in the spinal cord and brain. Neurophotonics, 11(2), 024209–024209. https://doi.org/10.1117/1.nph.11.2.024209 |
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| Thorpe, R. V., Black, C. J., Borton, D. A., Hu, L., Saab, C. Y., & Jones, S. R. (2024). Distinct neocortical mechanisms underlie human SI responses to median nerve and laser-evoked peripheral activation. Imaging Neuroscience, 2, 1–29. https://doi.org/10.1162/imag\_a\_00095 |
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| Allawala, A., Bijanki, K. R., Oswalt, D., Mathura, R. K., Adkinson, J., Pirtle, V., Shofty, B., Robinson, M., Harrison, M. T., Mathew, S. J., Goodman, W. K., Pouratian, N., Sheth, S. A., & Borton, D. A. (2024). Prefrontal network engagement by deep brain stimulation in limbic hubs. Frontiers in Human Neuroscience, 17, 1291315. https://doi.org/10.3389/fnhum.2023.1291315 |
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2023
| Sheth, S. A., Shofty, B., Allawala, A., Xiao, J., Adkinson, J. A., Mathura, R. K., Pirtle, V., Myers, J., Oswalt, D., Provenza, N. R., Giridharan, N., Noecker, A. M., Banks, G. P., Gadot, R., Najera, R. A., Anand, A., Devara, E., Dang, H., Bartoli, E., … Pouratian, N. (2023). Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations. Brain Stimulation, 16(6), 1792–1798. https://doi.org/10.1016/j.brs.2023.07.057 |
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| Milekovic, T., Moraud, E. M., Macellari, N., Moerman, C., Raschellà, F., Sun, S., Perich, M. G., Varescon, C., Demesmaeker, R., Bruel, A., Bole-Feysot, L. N., Schiavone, G., Pirondini, E., YunLong, C., Hao, L., Galvez, A., Hernandez-Charpak, S. D., Dumont, G., Ravier, J., … Courtine, G. (2023). A spinal cord neuroprosthesis for locomotor deficits due to Parkinson’s disease. Nature Medicine, 29(11), 2854–2865. https://doi.org/10.1038/s41591-023-02584-1 |
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| Calvert, J. S., Darie, R., Parker, S. R., Shaaya, E., Syed, S., McLaughlin, B. L., Fridley, J. S., & Borton, D. A. (2023). Spatiotemporal distribution of electrically evoked spinal compound action potentials during spinal cord stimulation. Neuromodulation: Technology at the Neural Interface, 26(5), 961–974. https://doi.org/10.1016/j.neurom.2022.03.007 |
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| Black, C. J., Saab, C. Y., & Borton, D. A. (2023). Transient gamma events delineate somatosensory modality in S1. bioRxiv, 2023–03. https://doi.org/10.1101/2023.03.30.534945 |
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| Brown, S., Atherton, E., & Borton, D. A. (2023). A Three-Dimensional Primary Cortical Culture System Compatible with Transgenic Disease Models, Virally Mediated Fluorescence, and Live Microscopy. In Stem Cell-Based Neural Model Systems for Brain Disorders (pp. 153–167). Springer US New York, NY. |
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2022
| Alarie, M. E., Provenza, N. R., Avendano-Ortega, M., McKay, S. A., Waite, A. S., Mathura, R. K., Herron, J. A., Sheth, S. A., Borton, D. A., & Goodman, W. K. (2022). Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms. Frontiers in Human Neuroscience, 16, 1016379. https://doi.org/10.14245/ns.2244652.326 |
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| Xing, D., Truccolo, W., & Borton, D. A. (2022). Emergence of Distinct Neural Subspaces in Motor Cortical Dynamics during Volitional Adjustments of Ongoing Locomotion. The Journal of Neuroscience, 42(49), 9142–9157. https://doi.org/10.1523/jneurosci.0746-22.2022 |
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| Lin, A., Shaaya, E., Calvert, J. S., Parker, S. R., Borton, D. A., & Fridley, J. S. (2022). A Review of Functional Restoration From Spinal Cord Stimulation in Patients With Spinal Cord Injury. Neurospine, 19(3), 703–734. https://doi.org/10.14245/ns.2244652.326 |
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| Barrios-Anderson, A., Fridley, J. S., Borton, D. A., & Saab, C. (2022). Spinal Cord Injury Pain. 175–198. https://doi.org/10.1016/b978-0-12-818662-6.00005-4 |
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| Chen, P., Kim, T., Rijn, E. D., Provenza, N. R., Sheth, S. A., Goodman, W. K., Borton, D. A., Harrison, M. T., & Darbon, J. (2022). Periodic Artifact Removal With Applications to Deep Brain Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2692–2699. https://doi.org/10.1109/tnsre.2022.3205453 |
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| Rijn, E. M. D., Provenza, N. R., Vogt, G. S., Avendano-Ortega, M., Sheth, S. A., Goodman, W. K., Harrison, M. T., & Borton, D. A. (2022). PELP: Accounting for Missing Data in Neural Time Series by Periodic Estimation of Lost Packets. Frontiers in Human Neuroscience, 16, 934063. https://doi.org/10.3389/fnhum.2022.934063 |
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| Govindarajan, L. N., Calvert, J., Parker, S., Jung, M., Darie, R., Miranda, P., Shaaya, E., Borton, D., & Serre, T. (2022). Fast inference of spinal neuromodulation for motor control using amortized neural networks. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac9646 |
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| Calvert, J. S., Darie, R., Parker, S. R., Shaaya, E., Syed, S., McLaughlin, B. L., Fridley, J. S., & Borton, D. A. (2022). Spatiotemporal Distribution of Electrically Evoked Spinal Compound Action Potentials During Spinal Cord Stimulation. Neuromodulation: Technology at the Neural Interface. https://doi.org/10.1016/j.neurom.2022.03.007 |
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| Provenza, N. R., Gelin, L. F. F., Mahaphanit, W., McGrath, M. C., Rijn, E. M. D., Fan, Y., Dhar, R., Frank, M. J., Restrepo, M. I., Goodman, W. K., & Borton, D. A. (2022). Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use. Revista Brasileira de Psiquiatria (Sao Paulo, Brazil : 1999), 44(2), 147–155. https://doi.org/10.1590/1516-4446-2020-1675 |
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| Sheth, S. A., Bijanki, K. R., Metzger, B., Allawala, A., Pirtle, V., Adkinson, J. A., Myers, J., Mathura, R. K., Oswalt, D., Tsolaki, E., Xiao, J., Noecker, A., Strutt, A. M., Cohn, J. F., McIntyre, C. C., Mathew, S. J., Borton, D., Goodman, W., & Pouratian, N. (2022). Deep Brain Stimulation for Depression Informed by Intracranial Recordings. Biological Psychiatry, 92(3), 246–251. https://doi.org/10.1016/j.biopsych.2021.11.007 |
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| Atherton, E., Hu, Y., Brown, S., Papiez, E., Ling, V., Colvin, V. L., & Borton, D. A. (2022). A 3D in vitro model of the device-tissue interface: functional and structural symptoms of innate neuroinflammation are mitigated by antioxidant ceria nanoparticles. Journal of Neural Engineering, 19(3), 036004. https://doi.org/10.1088/1741-2552/ac6908 |
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2021
| Provenza, N. R., Sheth, S. A., Dastin-van Rijn, E. M., Mathura, R. K., Ding, Y., Vogt, G. S., Avendano-Ortega, M., Ramakrishnan, N., Peled, N., Gelin, L. F. F., Xing, D., Jeni, L. A., Ertugrul, I. O., Barrios-Anderson, A., Matteson, E., Wiese, A. D., Xu, J., Viswanathan, A., Harrison, M. T., … Borton, D. A. (2021). Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder. Nat. Med., 27(12), 2154–2164. https://doi.org/10.1038/s41591-021-01550-z |
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| Sheth, S. A., Bijanki, K. R., Metzger, B., Allawala, A., Pirtle, V., Adkinson, J. A., Myers, J., Mathura, R. K., Oswalt, D., Tsolaki, E., Xiao, J., Noecker, A., Strutt, A. M., Cohn, J. F., McIntyre, C. C., Mathew, S. J., Borton, D., Goodman, W., & Pouratian, N. (2021). Deep Brain Stimulation for Depression Informed by Intracranial Recordings. Biol. Psychiatry. https://doi.org/10.1016/j.biopsych.2021.11.007 |
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| Dastin-van Rijn, E. M., Provenza, N. R., Calvert, J. S., Gilron, R., Allawala, A. B., Darie, R., Syed, S., Matteson, E., Vogt, G. S., Avendano-Ortega, M., Vasquez, A. C., Ramakrishnan, N., Oswalt, D. N., Bijanki, K. R., Wilt, R., Starr, P. A., Sheth, S. A., Goodman, W. K., Harrison, M. T., & Borton, D. A. (2021). Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method. Cell Rep Methods, 1(2). https://doi.org/10.1016/j.crmeth.2021.100010 |
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| Provenza, N. R., Gelin, L. F. F., Mahaphanit, W., McGrath, M. C., Dastin-van Rijn, E. M., Fan, Y., Dhar, R., Frank, M. J., Restrepo, M. I., Goodman, W. K., & Borton, D. A. (2021). Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use. Braz J Psychiatry. https://doi.org/10.1590/1516-4446-2020-1675 |
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| Atherton, E., Brown, S., Papiez, E., Restrepo, M. I., & Borton, D. A. (2021). Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues. Sci. Rep., 11(1), 22303. https://doi.org/10.1038/s41598-021-01616-5 |
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| Shaaya, E., Calvert, J., Wallace, K., Parker, S., Darie, R., Syed, S., Fridley, J., Parthasarathy, G., Duclos, S., & Borton, D. A. (2021). Intraoperative Monitoring of Spinal Cord Perfusion using Ultrasound in an Ovine Model. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2021, 3813–3816. https://doi.org/10.1109/EMBC46164.2021.9631025 |
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| Allawala, A., Bijanki, K. R., Goodman, W., Cohn, J. F., Viswanathan, A., Yoshor, D., Borton, D. A., Pouratian, N., & Sheth, S. A. (2021). In Reply: A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation. Neurosurgery, 89(5), E283. https://doi.org/10.1093/neuros/nyab308 |
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| Allawala, A., Bijanki, K. R., Goodman, W., Cohn, J. F., Viswanathan, A., Yoshor, D., Borton, D. A., Pouratian, N., & Sheth, S. A. (2021). A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation. Neurosurgery, 89(2), E116–E121. https://doi.org/10.1093/neuros/nyab112 |
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| Dastin-van Rijn, E. M., Provenza, N. R., Harrison, M. T., & Borton, D. A. (2021). How do packet losses affect measures of averaged neural signalsƒ. Annu Int Conf IEEE Eng Med Biol Soc, 2021, 941–944. https://doi.org/10.1109/EMBC46164.2021.9629666 |
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| Gilron, R., Little, S., Perrone, R., Wilt, R., de Hemptinne, C., Yaroshinsky, M. S., Racine, C. A., Wang, S. S., Ostrem, J. L., Larson, P. S., Wang, D. D., Galifianakis, N. B., Bledsoe, I. O., San Luciano, M., Dawes, H. E., Worrell, G. A., Kremen, V., Borton, D. A., Denison, T., & Starr, P. A. (2021). Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease. Nat. Biotechnol., 39(9), 1078–1085. https://doi.org/10.1038/s41587-021-00897-5 |
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| Powell, M. P., Anso, J., Gilron, R., Provenza, N. R., Allawala, A. B., Sliva, D. D., Bijanki, K. R., Oswalt, D., Adkinson, J., Pouratian, N., Sheth, S. A., Goodman, W. K., Jones, S. R., Starr, P. A., & Borton, D. A. (2021). NeuroDAC: an open-source arbitrary biosignal waveform generator. J. Neural Eng., 18(1). https://doi.org/10.1088/1741-2552/abc7f0 |
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2020
| Xing, D., Aghagolzadeh, M., Truccolo, W., Bezard, E., Courtine, G., & Borton, D. (2020). Corrigendum: Low-Dimensional Motor Cortex Dynamics Preserve Kinematics Information During Unconstrained Locomotion in Nonhuman Primates. Front. Neurosci., 14, 604517. https://doi.org/10.3389/fnins.2020.604517 |
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| Levitt, J., Edhi, M. M., Thorpe, R. V., Leung, J. W., Michishita, M., Koyama, S., Yoshikawa, S., Scarfo, K. A., Carayannopoulos, A. G., Gu, W., Srivastava, K. H., Clark, B. A., Esteller, R., Borton, D. A., Jones, S. R., & Saab, C. Y. (2020). Pain phenotypes classified by machine learning using electroencephalography features. Neuroimage, 223, 117256. https://doi.org/10.1016/j.neuroimage.2020.117256 |
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| Ding, Y., Ertugrul, I. O., Darzi, A., Provenza, N., Jeni, L. A., Borton, D., Goodman, W., & Cohn, J. (2020). Automated Detection of Enhanced DBS Device Settings. Companion Publ 2020 Int Conf Multimodal Interact, 2020, 354–356. https://doi.org/10.1145/3395035.3425354 |
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| Celinskis, D., Friedman, N., Koksharov, M., Murphy, J., Gomez-Ramirez, M., Borton, D., Shaner, N., Hochgeschwender, U., Lipscombe, D., & Moore, C. (2020). Miniaturized Devices for Bioluminescence Imaging in Freely Behaving Animals. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2020, 4385–4389. https://doi.org/10.1109/EMBC44109.2020.9175375 |
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| Black, C. J., Allawala, A. B., Bloye, K., Vanent, K. N., Edhi, M. M., Saab, C. Y., & Borton, D. A. (2020). Automated and rapid self-report of nociception in transgenic mice. Sci. Rep., 10(1), 13215. https://doi.org/10.1038/s41598-020-70028-8 |
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| Widge, A., Provenza, N., Lo, M.-C., Blackwood, E., Schatza, M., Olsen, S., Basu, I., Bilge, M. T., Dougherty, D., & Borton, D. (2020). Controlling brain networks through oscillatory synchrony. Biol. Psychiatry, 87(9), S96. https://doi.org/10.1016/j.biopsych.2020.02.266 |
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| Karageorgos, I., Sriram, K., Veselý, J., Wu, M., Powell, M., Borton, D., Manohar, R., & Bhattacharjee, A. (2020). Hardware-Software Co-Design for Brain-Computer Interfaces. 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 391–404. https://doi.org/10.1109/ISCA45697.2020.00041 |
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| Borton, D. A., Dawes, H. E., Worrell, G. A., Starr, P. A., & Denison, T. J. (2020). Developing Collaborative Platforms to Advance Neurotechnology and Its Translation. Neuron, 108(2), 286–301. https://doi.org/10.1016/j.neuron.2020.10.001 |
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2019
| Xing, D., Aghagolzadeh, M., Truccolo, W., & Borton, D. (2019). Low-Dimensional Motor Cortex Dynamics Preserve Kinematics Information During Unconstrained Locomotion in Nonhuman Primates. Frontiers in Neuroscience, 13, 1046. https://doi.org/10.3389/fnins.2019.01046 |
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| Provenza, N. R., Paulk, A. C., Peled, N., Restrepo, M. I., Cash, S. S., Dougherty, D. D., Eskandar, E. N., Borton, D. A., & Widge, A. S. (2019). Decoding task engagement from distributed network electrophysiology in humans. J. Neural Eng., 16(5), 056015. https://doi.org/10.1088/1741-2552/ab2c58 |
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| Provenza, N. R., Matteson, E. R., Allawala, A. B., Barrios-Anderson, A., Sheth, S. A., Viswanathan, A., McIngvale, E., Storch, E. A., Frank, M. J., McLaughlin, N. C. R., Cohn, J. F., Goodman, W. K., & Borton, D. A. (2019). The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders. Front. Neurosci., 13, 152. https://doi.org/10.3389/fnins.2019.00152 |
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2018
| Cohn, J. F., Okun, M. S., Jeni, L. A., Ertugrul, I. O., Borton, D., Malone, D., & Goodman, W. K. (2018). Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study. Proc ACM Int Conf Multimodal Interact, 2018, 40–44. https://doi.org/10.1145/3242969.3243023 |
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| Black, C., Darie, R., & Borton, D. (2018). Organic Electronics for Artificial Touch. Trends Neurosci., 41(9), 568–570. https://doi.org/10.1016/j.tins.2018.07.010 |
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2017
| Powell, M. P., Britz, W. R., Harper, J. S., 3rd, & Borton, D. A. (2017). An engineered home environment for untethered data telemetry from nonhuman primates. J. Neurosci. Methods, 288, 72–81. https://doi.org/10.1016/j.jneumeth.2017.06.013 |
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| Cheng, D. L., Greenberg, P. B., & Borton, D. A. (2017). Advances in Retinal Prosthetic Research: A Systematic Review of Engineering and Clinical Characteristics of Current Prosthetic Initiatives. Curr. Eye Res., 42(3), 334–347. https://doi.org/10.1080/02713683.2016.1270326 |
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| Darie, R., Powell, M., & Borton, D. (2017). Delivering the Sense of Touch to the Human Brain. Neuron, 93(4), 728–730. https://doi.org/10.1016/j.neuron.2017.02.008 |
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| Hou, X., Galligan, C., Ashe, J., & Borton, D. A. (2017). Toward multi-area distributed network of implanted neural interrogators. And Nanomedicine X. |
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2016
| Capogrosso, M., Milekovic, T., Borton, D., Wagner, F., Moraud, E. M., Mignardot, J.-B., Buse, N., Gandar, J., Barraud, Q., Xing, D., Rey, E., Duis, S., Jianzhong, Y., Ko, W. K. D., Li, Q., Detemple, P., Denison, T., Micera, S., Bezard, E., … Courtine, G. (2016). A brain-spine interface alleviating gait deficits after spinal cord injury in primates. Nature, 539(7628), 284–288. https://doi.org/10.1038/nature20118 |
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2015
| Dai, J., Ozden, I., Brooks, D. I., Wagner, F., May, T., Agha, N. S., Brush, B., Borton, D., Nurmikko, A. V., & Sheinberg, D. L. (2015). Modified toolbox for optogenetics in the nonhuman primate. Neurophotonics, 2(3), 031202. https://doi.org/10.1117/1.NPh.2.3.031202 |
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2014
| May, T., Ozden, I., Brush, B., Borton, D., Wagner, F., Agha, N., Sheinberg, D. L., & Nurmikko, A. V. (2014). Detection of optogenetic stimulation in somatosensory cortex by non-human primates–towards artificial tactile sensation. PLoS One, 9(12), e114529. https://doi.org/10.1371/journal.pone.0114529 |
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| Borton, D., Bonizzato, M., Beauparlant, J., DiGiovanna, J., Moraud, E. M., Wenger, N., Musienko, P., Minev, I. R., Lacour, S. P., Millán, J. del R., Micera, S., & Courtine, G. (2014). Corticospinal neuroprostheses to restore locomotion after spinal cord injury. Neurosci. Res., 78, 21–29. https://doi.org/10.1016/j.neures.2013.10.001 |
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| Yin, M., Borton, D. a, Komar, J., Agha, N., Lu, Y., Li, H., Laurens, J., Lang, Y., Li, Q., Bull, C., Larson, L., Rosler, D., Bezard, E., Courtine, G., & Nurmikko, A. V. (2014). Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior. Neuron, 84(6), 1170–1182. https://doi.org/10.1016/j.neuron.2014.11.010 |
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2013
| Yin, M., Li, H., Bull, C., Borton, D. A., Aceros, J., Larson, L., & Nurmikko, A. V. (2013). An externally head-mounted wireless neural recording device for laboratory animal research and possible human clinical use. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2013, 3109–3114. https://doi.org/10.1109/EMBC.2013.6610199 |
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| Borton, D. A., Yin, M., Aceros, J., & Nurmikko, A. (2013). An implantable wireless neural interface for recording cortical circuit dynamics in moving primates. Journal of Neural Engineering, 10(2), 026010. https://doi.org/10.1088/1741-2560/10/2/026010 |
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| Borton, D., Micera, S., Millán, J. del R., & Courtine, G. (2013). Personalized neuroprosthetics. Sci. Transl. Med., 5(210), 210rv2. https://doi.org/10.1126/scitranslmed.3005968 |
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| Borton, D. A., & Nurmikko, A. V. (2013). Wireless, implantable neuroprostheses: Applying advanced technology to untether the mind. In Future Trends in Microelectronics (pp. 286–299). John Wiley & Sons, Inc. https://doi.org/10.1002/9781118678107.ch21 |
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| Park, S., Borton, D. A., Kang, M., Nurmikko, A. V., & Song, Y.-K. (2013). An implantable neural sensing microsystem with fiber-optic data transmission and power delivery. Sensors, 13(5), 6014–6031. https://doi.org/10.3390/s130506014 |
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| Yin, M., Li, H., Bull, C., Borton, D., Aceros, J., Larson, L., & Nurmikko, A. (2013). An Externally Head-Mounted Wireless Neural Recording Device for Laboratory Animal Research and Possible Human Clinical Use. 35th Annual International Conference of the IEEE EMBS. |
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2012
| Borton, J. L. S., Crimmins, A. E., Ashby, R. S., & Ruddiman, J. F. (2012). How Do Individuals with Fragile High Self-esteem Cope with Intrusive Thoughts Following Ego Threat? Self Identity, 11(1), 16–35. https://doi.org/10.1080/15298868.2010.500935 |
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| Aceros, J., Yin, M., Borton, D. A., Patterson, W. R., Bull, C., & Nurmikko, A. V. (2012). Polymeric packaging for fully implantable wireless neural microsensors. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2012, 743–746. https://doi.org/10.1109/EMBC.2012.6346038 |
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| Wang, J., Wagner, F., Borton, D. a, Zhang, J., Ozden, I., Burwell, R. D., Nurmikko, A. V., van Wagenen, R., Diester, I., & Deisseroth, K. (2012). Integrated device for combined optical neuromodulation and electrical recording for chronic in vivo applications. J. Neural Eng., 9(1), 016001. https://doi.org/10.1088/1741-2560/9/1/016001 |
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| Yin, M., Borton, D. A., Aceros, J., Patterson, W. R., & Nurmikko, A. V. (2012). A 100-channel hermetically sealed implantable device for wireless neurosensing applications. 2012 IEEE International Symposium on Circuits and Systems, 7, 2629–2632. https://doi.org/10.1109/ISCAS.2012.6271845 |
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2011
| Wang, J., Ozden, I., Diagne, M., Wagner, F., Borton, D., Brush, B., Agha, N., Burwell, R., Sheinberg, D., Diester, I., Deisseroth, K., & Nurmikko, A. (2011). Approaches to optical neuromodulation from rodents to non-human primates by integrated optoelectronic devices. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2011, 7525–7528. https://doi.org/10.1109/IEMBS.2011.6091855 |
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| Aceros, J., Yin, M., Borton, D. A., Patterson, W. R., & Nurmikko, A. V. (2011). A 32-channel fully implantable wireless neurosensor for simultaneous recording from two cortical regions. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2011, 2300–2306. https://doi.org/10.1109/IEMBS.2011.6090579 |
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| Borton, D., Yin, M., Aceros, J., Agha, N., Minxha, J., Komar, J., Patterson, W., Bull, C., & Nurmikko, A. (2011). Developing implantable neuroprosthetics: a new model in pig. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., 2011, 3024–3030. https://doi.org/10.1109/IEMBS.2011.6090828 |
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2010
| Nurmikko, A. V., Donoghue, J. P., Hochberg, L. R., Patterson, W. R., Song, Y.-K., Bull, C. W., Borton, D. A., Laiwalla, F., Park, S., Ming, Y., & Aceros, J. (2010). Listening to Brain Microcircuits for Interfacing With External World-Progress in Wireless Implantable Microelectronic Neuroengineering Devices: Experimental systems are described for electrical recording in the brain using multiple microelectrodes and short range implantable or wearable broadcasting units. Proc. IEEE Inst. Electr. Electron. Eng., 98(3), 375–388. https://doi.org/10.1109/JPROC.2009.2038949 |
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| Wang, J., Borton, D. A., Zhang, J., Burwell, R. D., & Nurmikko, A. V. (2010). A neurophotonic device for stimulation and recording of neural microcircuits. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2010, 2935–2938. https://doi.org/10.1109/IEMBS.2010.5626296 |
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2009
| Borton, D. A., Song, Y.-K., Patterson, W. R., Bull, C. W., Park, S., Laiwalla, F., Donoghue, J. P., & Nurmikko, A. V. (2009). Implantable Wireless Cortical Recording Device for Primates. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 588–591. https://doi.org/10.1007/978-3-642-03889-1\_158 |
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| Borton, D. A., Song, Y.-K. K., Patterson, W. R., Bull, C. W., Park, S., Laiwalla, F., Donoghue, J. P., & Nurmikko, A. V. (2009). Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2009, 5531–5534. https://doi.org/10.1109/IEMBS.2009.5333189 |
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| Song, Y.-K. K., Borton, D. A., Park, S., Patterson, W. R., Bull, C. W., Laiwalla, F., Mislow, J., Simeral, J. D., Donoghue, J. P., & Nurmikko, A. V. (2009). Active microelectronic neurosensor arrays for implantable brain communication interfaces. IEEE Trans. Neural Syst. Rehabil. Eng., 17(4), 339–345. https://doi.org/10.1109/TNSRE.2009.2024310 |
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[{"DOI":"10.1016/j.brs.2023.07.057","ISSN":"1935-861X","PMCID":"PMC10787578","PMID":"38135358","URL":"https://doi.org/10.1016/j.brs.2023.07.057","_graph":"","abstract":"Background Deep brain stimulation (DBS) and other neuromodulatory techniques are being increasingly utilized to treat refractory neurologic and psychiatric disorders. Objective /Hypothesis: To better understand the circuit-level pathophysiology of treatment-resistant depression (TRD) and treat the network-level dysfunction inherent to this challenging disorder, we adopted an approach of inpatient intracranial monitoring borrowed from the epilepsy surgery field. Methods We implanted 3 patients with 4 DBS leads (bilateral pair in both the ventral capsule/ventral striatum and subcallosal cingulate) and 10 stereo-electroencephalography (sEEG) electrodes targeting depression-relevant network regions. For surgical planning, we used an interactive, holographic visualization platform to appreciate the 3D anatomy and connectivity. In the initial surgery, we placed the DBS leads and sEEG electrodes using robotic stereotaxy. Subjects were then admitted to an inpatient monitoring unit for depression-specific neurophysiological assessments. Following these investigations, subjects returned to the OR to remove the sEEG electrodes and internalize the DBS leads to implanted pulse generators. Results Intraoperative testing revealed positive valence responses in all 3 subjects that helped verify targeting. Given the importance of the network-based hypotheses we were testing, we required accurate adherence to the surgical plan (to engage DBS and sEEG targets) and stability of DBS lead rotational position (to ensure that stimulation field estimates of the directional leads used during inpatient monitoring were relevant chronically), both of which we confirmed (mean radial error 1.2±0.9 mm; mean rotation 3.6±2.6°). Conclusion This novel hybrid sEEG-DBS approach allows detailed study of the neurophysiological substrates of complex neuropsychiatric disorders.","author":[{"family":"Sheth","given":"Sameer A."},{"family":"Shofty","given":"Ben"},{"family":"Allawala","given":"Anusha"},{"family":"Xiao","given":"Jiayang"},{"family":"Adkinson","given":"Joshua A."},{"family":"Mathura","given":"Raissa K."},{"family":"Pirtle","given":"Victoria"},{"family":"Myers","given":"John"},{"family":"Oswalt","given":"Denise"},{"family":"Provenza","given":"Nicole R."},{"family":"Giridharan","given":"Nisha"},{"family":"Noecker","given":"Angela M."},{"family":"Banks","given":"Garrett P."},{"family":"Gadot","given":"Ron"},{"family":"Najera","given":"Ricardo A."},{"family":"Anand","given":"Adrish"},{"family":"Devara","given":"Ethan"},{"family":"Dang","given":"Huy"},{"family":"Bartoli","given":"Eleonora"},{"family":"Watrous","given":"Andrew"},{"family":"Cohn","given":"Jeffrey"},{"family":"Borton","given":"David"},{"family":"Mathew","given":"Sanjay J."},{"family":"McIntyre","given":"Cameron C."},{"family":"Goodman","given":"Wayne"},{"family":"Bijanki","given":"Kelly"},{"family":"Pouratian","given":"Nader"}],"citation":"Sheth, S. A., Shofty, B., Allawala, A., Xiao, J., Adkinson, J. A., Mathura, R. K., Pirtle, V., Myers, J., Oswalt, D., Provenza, N. R., Giridharan, N., Noecker, A. M., Banks, G. P., Gadot, R., Najera, R. A., Anand, A., Devara, E., Dang, H., Bartoli, E., … Pouratian, N. (2023). Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations. Brain Stimulation, 16(6), 1792–1798. https://doi.org/10.1016/j.brs.2023.07.057","citation-label":"Sheth.2023","container-title":"Brain Stimulation","id":"Sheth.2023","issue":"6","issued":{"date-parts":[[2023]]},"page":"1792-1798","pdf":"","pub_url":"https://doi.org/10.1016/j.brs.2023.07.057","title":"Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations","type":"article-journal","volume":"16"},{"DOI":"10.1038/s41591-023-02584-1","ISSN":"1078-8956","PMID":"37932548","URL":"https://doi.org/10.1038/s41591-023-02584-1","_graph":"","abstract":"People with late-stage Parkinson’s disease (PD) often suffer from debilitating locomotor deficits that are resistant to currently available therapies. To alleviate these deficits, we developed a neuroprosthesis operating in closed loop that targets the dorsal root entry zones innervating lumbosacral segments to reproduce the natural spatiotemporal activation of the lumbosacral spinal cord during walking. We first developed this neuroprosthesis in a non-human primate model that replicates locomotor deficits due to PD. This neuroprosthesis not only alleviated locomotor deficits but also restored skilled walking in this model. We then implanted the neuroprosthesis in a 62-year-old male with a 30-year history of PD who presented with severe gait impairments and frequent falls that were medically refractory to currently available therapies. We found that the neuroprosthesis interacted synergistically with deep brain stimulation of the subthalamic nucleus and dopaminergic replacement therapies to alleviate asymmetry and promote longer steps, improve balance and reduce freezing of gait. This neuroprosthesis opens new perspectives to reduce the severity of locomotor deficits in people with PD. A spinal cord neuroprosthesis targeting leg motor neurons in real time improves walking and reduces freezing of gait in non-human primate models and in one individual with advanced Parkinson’s disease.","author":[{"family":"Milekovic","given":"Tomislav"},{"family":"Moraud","given":"Eduardo Martin"},{"family":"Macellari","given":"Nicolo"},{"family":"Moerman","given":"Charlotte"},{"family":"Raschellà","given":"Flavio"},{"family":"Sun","given":"Shiqi"},{"family":"Perich","given":"Matthew G."},{"family":"Varescon","given":"Camille"},{"family":"Demesmaeker","given":"Robin"},{"family":"Bruel","given":"Alice"},{"family":"Bole-Feysot","given":"Léa N."},{"family":"Schiavone","given":"Giuseppe"},{"family":"Pirondini","given":"Elvira"},{"family":"YunLong","given":"Cheng"},{"family":"Hao","given":"Li"},{"family":"Galvez","given":"Andrea"},{"family":"Hernandez-Charpak","given":"Sergio Daniel"},{"family":"Dumont","given":"Gregory"},{"family":"Ravier","given":"Jimmy"},{"family":"Goff-Mignardot","given":"Camille G. Le"},{"family":"Mignardot","given":"Jean-Baptiste"},{"family":"Carparelli","given":"Gaia"},{"family":"Harte","given":"Cathal"},{"family":"Hankov","given":"Nicolas"},{"family":"Aureli","given":"Viviana"},{"family":"Watrin","given":"Anne"},{"family":"Lambert","given":"Hendrik"},{"family":"Borton","given":"David"},{"family":"Laurens","given":"Jean"},{"family":"Vollenweider","given":"Isabelle"},{"family":"Borgognon","given":"Simon"},{"family":"Bourre","given":"François"},{"family":"Goillandeau","given":"Michel"},{"family":"Ko","given":"Wai Kin D."},{"family":"Petit","given":"Laurent"},{"family":"Li","given":"Qin"},{"family":"Buschman","given":"Rik"},{"family":"Buse","given":"Nicholas"},{"family":"Yaroshinsky","given":"Maria"},{"family":"Ledoux","given":"Jean-Baptiste"},{"family":"Becce","given":"Fabio"},{"family":"Jimenez","given":"Mayté Castro"},{"family":"Bally","given":"Julien F."},{"family":"Denison","given":"Timothy"},{"family":"Guehl","given":"Dominique"},{"family":"Ijspeert","given":"Auke"},{"family":"Capogrosso","given":"Marco"},{"family":"Squair","given":"Jordan W."},{"family":"Asboth","given":"Leonie"},{"family":"Starr","given":"Philip A."},{"family":"Wang","given":"Doris D."},{"family":"Lacour","given":"Stéphanie P."},{"family":"Micera","given":"Silvestro"},{"family":"Qin","given":"Chuan"},{"family":"Bloch","given":"Jocelyne"},{"family":"Bezard","given":"Erwan"},{"family":"Courtine","given":"G."}],"citation":"Milekovic, T., Moraud, E. M., Macellari, N., Moerman, C., Raschellà, F., Sun, S., Perich, M. G., Varescon, C., Demesmaeker, R., Bruel, A., Bole-Feysot, L. N., Schiavone, G., Pirondini, E., YunLong, C., Hao, L., Galvez, A., Hernandez-Charpak, S. D., Dumont, G., Ravier, J., … Courtine, G. (2023). A spinal cord neuroprosthesis for locomotor deficits due to Parkinson’s disease. Nature Medicine, 29(11), 2854–2865. https://doi.org/10.1038/s41591-023-02584-1","citation-label":"Milekovic.2023","container-title":"Nature Medicine","id":"Milekovic.2023","issue":"11","issued":{"date-parts":[[2023]]},"page":"2854-2865","pdf":"","pub_url":"https://doi.org/10.1038/s41591-023-02584-1","title":"A spinal cord neuroprosthesis for locomotor deficits due to Parkinson’s disease","type":"article-journal","volume":"29"},{"DOI":"10.1016/j.neurom.2022.03.007","URL":"https://doi.org/10.1016/j.neurom.2022.03.007","_graph":"","author":[{"family":"Calvert","given":"Jonathan S"},{"family":"Darie","given":"Radu"},{"family":"Parker","given":"Samuel R"},{"family":"Shaaya","given":"Elias"},{"family":"Syed","given":"Sohail"},{"family":"McLaughlin","given":"Bryan L"},{"family":"Fridley","given":"Jared S"},{"family":"Borton","given":"David A"}],"citation":"Calvert, J. S., Darie, R., Parker, S. R., Shaaya, E., Syed, S., McLaughlin, B. L., Fridley, J. S., \u0026 Borton, D. A. (2023). Spatiotemporal distribution of electrically evoked spinal compound action potentials during spinal cord stimulation. Neuromodulation: Technology at the Neural Interface, 26(5), 961–974. https://doi.org/10.1016/j.neurom.2022.03.007","citation-label":"calvert2023spatiotemporal","container-title":"Neuromodulation: Technology at the Neural Interface","id":"calvert2023spatiotemporal","issue":"5","issued":{"date-parts":[[2023]]},"page":"961-974","pdf":"","pub_url":"https://doi.org/10.1016/j.neurom.2022.03.007","title":"Spatiotemporal distribution of electrically evoked spinal compound action potentials during spinal cord stimulation","type":"article-journal","volume":"26"},{"DOI":"10.1016/j.bpsc.2024.10.019","ISSN":"2451-9022","PMID":"39547412","URL":"https://doi.org/10.1016/j.bpsc.2024.10.019","_graph":"","abstract":"BACKGROUND A reliable physiological biomarker for Major Depressive Disorder is essential for developing and optimizing neuromodulatory treatment paradigms. This study investigates a passive electrophysiologic biomarker that tracks changes in depressive symptom severity on the order of minutes to hours. METHODS We analyze brief recordings from intracranial electrodes implanted deep in the brain during a clinical trial of deep brain stimulation for treatment-resistant depression in 5 human subjects (nfemale= 3, nmale = 2). This surgical setting allows for precise temporal and spatial sensitivity in the ventromedial prefrontal cortex, a challenging area to measure. We focused on the aperiodic slope of the power spectral density, a metric reflecting the balance of activity across all frequency bands and serving as a proxy for excitatory/inhibitory balance in the brain. RESULTS Our findings demonstrate that shifts in aperiodic slope correlate with depression severity, with flatter (less negative) slopes indicating reduced depression severity. This significant correlation was observed in all N=5 subjects, particularly in the ventromedial prefrontal cortex. CONCLUSIONS This biomarker offers a new way to track patient responses to Major Depressive Disorder treatment, paving the way for individualized therapies in both intracranial and non-invasive monitoring contexts.","author":[{"family":"Hacker","given":"Carl"},{"family":"Mocchi","given":"Madaline M."},{"family":"Xiao","given":"Jiayang"},{"family":"Metzger","given":"Brian"},{"family":"Adkinson","given":"Joshua"},{"family":"Pascuzzi","given":"Bailey"},{"family":"Mathura","given":"Raissa"},{"family":"Oswalt","given":"Denise"},{"family":"Watrous","given":"Andrew"},{"family":"Bartoli","given":"Eleonora"},{"family":"Allawala","given":"Anusha"},{"family":"Pirtle","given":"Victoria"},{"family":"Fan","given":"Xiaoxu"},{"family":"Danstrom","given":"Isabel"},{"family":"Shofty","given":"Ben"},{"family":"Banks","given":"Garrett"},{"family":"Zhang","given":"Yue"},{"family":"Armenta-Salas","given":"Michelle"},{"family":"Mirpour","given":"Koorosh"},{"family":"Mathew","given":"Sanjay"},{"family":"Cohn","given":"Jeff"},{"family":"Borton","given":"David"},{"family":"Goodman","given":"Wayne"},{"family":"Pouratian","given":"Nader"},{"family":"Sheth","given":"Sameer Anil"},{"family":"Bijanki","given":"Kelly R."}],"citation":"Hacker, C., Mocchi, M. M., Xiao, J., Metzger, B., Adkinson, J., Pascuzzi, B., Mathura, R., Oswalt, D., Watrous, A., Bartoli, E., Allawala, A., Pirtle, V., Fan, X., Danstrom, I., Shofty, B., Banks, G., Zhang, Y., Armenta-Salas, M., Mirpour, K., … Bijanki, K. R. (2024). Aperiodic (1/f) neural activity robustly tracks symptom severity changes in treatment-resistant depression. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. https://doi.org/10.1016/j.bpsc.2024.10.019","citation-label":"Hacker.2024","container-title":"Biological Psychiatry: Cognitive Neuroscience and Neuroimaging","id":"Hacker.2024","issued":{"date-parts":[[2024]]},"pdf":"","pub_url":"https://doi.org/10.1016/j.bpsc.2024.10.019","title":"Aperiodic (1/f) neural activity robustly tracks symptom severity changes in treatment-resistant depression.","type":"article-journal"},{"DOI":"10.1101/2024.05.29.596250","PMCID":"PMC11160681","PMID":"38853820","URL":"https://doi.org/10.1101/2024.05.29.596250","_graph":"","abstract":"Epidural electrical stimulation (EES) has shown promise as both a clinical therapy and research tool for studying nervous system function. However, available clinical EES paddles are limited to using a small number of contacts due to the burden of wires necessary to connect each contact to the therapeutic delivery device, limiting the treatment area or density of epidural electrode arrays. We aimed to eliminate this burden using advanced on-paddle electronics. We developed a smart EES paddle with a 60-electrode programmable array, addressable using an active electronic multiplexer embedded within the electrode paddle body. The electronics are sealed in novel, ultra-low profile hermetic packaging. We conducted extensive reliability testing on the novel array, including a battery of ISO 10993-1 biocompatibility tests and determination of the hermetic package leak rate. We then evaluated the EES device in vivo, placed on the epidural surface of the ovine lumbosacral spinal cord for 15 months. The active paddle array performed nominally when implanted in sheep for over 15 months and no device-related malfunctions were observed. The onboard multiplexer enabled bespoke electrode arrangements across, and within, experimental sessions. We identified stereotyped responses to stimulation in lower extremity musculature, and examined local field potential responses to EES using high-density recording bipoles. Finally, spatial electrode encoding enabled machine learning models to accurately perform EES parameter inference for unseen stimulation electrodes, reducing the need for extensive training data in future deep models. We report the development and chronic large animal in vivo evaluation of a high-density EES paddle array containing active electronics. Our results provide a foundation for more advanced computation and processing to be integrated directly into devices implanted at the neural interface, opening new avenues for the study of nervous system function and new therapies to treat neural injury and dysfunction.","author":[{"family":"Parker","given":"Samuel R."},{"family":"Calvert","given":"Jonathan S."},{"family":"Darie","given":"Radu"},{"family":"Jang","given":"Jaeson"},{"family":"Govindarajan","given":"Lakshmi Narasimhan"},{"family":"Angelino","given":"Keith"},{"family":"Chitnis","given":"Girish"},{"family":"Iyassu","given":"Yohannes"},{"family":"Shaaya","given":"Elias"},{"family":"Fridley","given":"Jared S."},{"family":"Serre","given":"Thomas"},{"family":"Borton","given":"David A."},{"family":"McLaughlin","given":"Bryan L."}],"citation":"Parker, S. R., Calvert, J. S., Darie, R., Jang, J., Govindarajan, L. N., Angelino, K., Chitnis, G., Iyassu, Y., Shaaya, E., Fridley, J. S., Serre, T., Borton, D. A., \u0026 McLaughlin, B. L. (2024). An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation. bioRxiv, 2024.05.29.596250. https://doi.org/10.1101/2024.05.29.596250","citation-label":"Parker.2024","container-title":"bioRxiv","id":"Parker.2024","issued":{"date-parts":[[2024]]},"page":"2024.05.29.596250","pdf":"","pub_url":"https://doi.org/10.1101/2024.05.29.596250","title":"An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation","type":"article-journal"},{"DOI":"10.1038/s44222-024-00187-0","URL":"https://doi.org/10.1038/s44222-024-00187-0","_graph":"","abstract":"Neuromodulation and brain–computer interfaces are rapidly evolving fields with distinct origins but with the shared goal of improving the lives of people with neurological and psychiatric disorders or injuries. Their increasing technological overlap provides new opportunities for collaborative work and rapid progress in neurotechnology.","author":[{"family":"Herron","given":"Jeffrey"},{"family":"Kremen","given":"Vaclav"},{"family":"Simeral","given":"John D."},{"family":"Dawes","given":"Heather"},{"family":"Worrell","given":"Gregory A."},{"family":"Starr","given":"Philip A."},{"family":"Denison","given":"Timothy"},{"family":"Borton","given":"David"}],"citation":"Herron, J., Kremen, V., Simeral, J. D., Dawes, H., Worrell, G. A., Starr, P. A., Denison, T., \u0026 Borton, D. (2024). The convergence of neuromodulation and brain–computer interfaces. Nature Reviews Bioengineering, 2(8), 628–630. https://doi.org/10.1038/s44222-024-00187-0","citation-label":"Herron.202419","container-title":"Nature Reviews Bioengineering","id":"Herron.202419","issue":"8","issued":{"date-parts":[[2024]]},"page":"628-630","pdf":"","pub_url":"https://doi.org/10.1038/s44222-024-00187-0","title":"The convergence of neuromodulation and brain–computer interfaces","type":"article-journal","volume":"2"},{"DOI":"10.1117/1.nph.11.2.024209","ISSN":"2329-423X","PMCID":"PMC11079446","PMID":"38725801","URL":"https://doi.org/10.1117/1.NPh.11.2.024209","_graph":"","abstract":"Pain comprises a complex interaction between motor action and somatosensation that is dependent on dynamic interactions between the brain and spinal cord. This makes understanding pain particularly challenging as it involves rich interactions between many circuits (e.g., neural and vascular) and signaling cascades throughout the body. As such, experimentation on a single region may lead to an incomplete and potentially incorrect understanding of crucial underlying mechanisms. We aimed to develop and validate tools to enable detailed and extended observation of neural and vascular activity in the brain and spinal cord. The first key set of innovations was targeted to developing novel imaging hardware that addresses the many challenges of multisite imaging. The second key set of innovations was targeted to enabling bioluminescent (BL) imaging, as this approach can address limitations of fluorescent microscopy including photobleaching, phototoxicity, and decreased resolution due to scattering of excitation signals. We designed 3D-printed brain and spinal cord implants to enable effective surgical implantations and optical access with wearable miniscopes or an open window (e.g., for one- or two-photon microscopy or optogenetic stimulation). We also tested the viability for BL imaging and developed a novel modified miniscope optimized for these signals (BLmini). We describe “universal” implants for acute and chronic simultaneous brain–spinal cord imaging and optical stimulation. We further describe successful imaging of BL signals in both foci and a new miniscope, the “BLmini,” which has reduced weight, cost, and form-factor relative to standard wearable miniscopes. The combination of 3D-printed implants, advanced imaging tools, and bioluminescence imaging techniques offers a coalition of methods for understanding spinal cord–brain interactions. Our work has the potential for use in future research into neuropathic pain and other sensory disorders and motor behavior.","author":[{"family":"Celinskis","given":"Dmitrijs"},{"family":"Black","given":"Christopher J."},{"family":"Murphy","given":"Jeremy"},{"family":"Barrios-Anderson","given":"Adriel"},{"family":"Friedman","given":"Nina G."},{"family":"Shaner","given":"Nathan C."},{"family":"Saab","given":"Carl Y."},{"family":"Gomez-Ramirez","given":"Manuel"},{"family":"Borton","given":"David A."},{"family":"Moore","given":"Christopher I."}],"citation":"Celinskis, D., Black, C. J., Murphy, J., Barrios-Anderson, A., Friedman, N. G., Shaner, N. C., Saab, C. Y., Gomez-Ramirez, M., Borton, D. A., \u0026 Moore, C. I. (2024). Toward a brighter constellation: multiorgan neuroimaging of neural and vascular dynamics in the spinal cord and brain. Neurophotonics, 11(2), 024209–024209. https://doi.org/10.1117/1.nph.11.2.024209","citation-label":"Celinskis.2024","container-title":"Neurophotonics","id":"Celinskis.2024","issue":"2","issued":{"date-parts":[[2024]]},"page":"024209-024209","pdf":"","pub_url":"https://doi.org/10.1117/1.NPh.11.2.024209","title":"Toward a brighter constellation: multiorgan neuroimaging of neural and vascular dynamics in the spinal cord and brain","type":"article-journal","volume":"11"},{"DOI":"10.1162/imag\\_a\\_00095","URL":"https://doi.org/10.1162/imag%5C_a%5C_00095","_graph":"","abstract":"Magneto- and/or electro-encephalography (M/EEG) are non-invasive clinically relevant tools that have long been used to measure electromagnetic fields in the somatosensory cortex evoked by innocuous and noxious somatosensory stimuli. Two commonly applied stimulation paradigms that produce distinct responses in the primary somatosensory cortex (SI) linked to innocuous and noxious sensations are electrical median nerve (MN) stimulation and cutaneous laser-evoked (LE) stimulation to the dorsum of the hand, respectively. Despite their prevalence, the physiological mechanisms that produce stereotypic macroscale MN and LE responses have yet to be fully articulated, limiting their utility in understanding brain dynamics associated with non-painful and/or painful somatosensation. Through a literature review, we detailed features of MN and LE responses source-localized to SI that are robust and reproducible across studies. We showed that the first peak in the MN response at \\textbackslashtextasciitilde20 ms post-stimulus (i.e., MN N1) corresponds to upward-directed deep-to-superficial electrical current flow through the cortical laminae, which is followed by downward-directed current at \\textbackslashtextasciitilde30 ms (i.e., MN P1). In contrast, the initial LE response occurs later at \\textbackslashtextasciitilde170 ms (i.e., LE N1) and is directed downward and opposite the direction of the MN N1. We then examined the neocortical circuit mechanisms contributing to the robust features of each response using the Human Neocortical Neurosolver (HNN) neural modeling software tool (Neymotin et al., 2020). Using HNN as a hypothesis development and testing tool, model results predicted the MN response can be simulated with a sequence of layer-specific thalamocortical and cortico-cortical synaptic drive similar to that previously reported for tactile evoked responses (S. R. Jones et al., 2007; Neymotin et al., 2020), with the novel discovery that an early excitatory input to supragranular layers at \\textbackslashtextasciitilde30 ms is an essential mechanism contributing to the downward current flow of the MN P1. Model results further predicted that the initial \\textbackslashtextasciitilde170 ms downward current flow of the LE N1 was generated by a burst of repetitive gamma-frequency (\\textbackslashtextasciitilde40 Hz) excitatory synaptic drive to supragranular layers, consistent with prior reports of LE gamma-frequency activity. These results make novel and detailed multiscale predictions about the dynamic laminar circuit mechanisms underlying temporal and spectral features of MN and LE responses in SI and can guide further investigations in follow-up studies. Ultimately, these findings may help with the development of targeted therapeutics for pathological somatosensation, such as somatic sensitivity and acute neuropathic pain.","author":[{"family":"Thorpe","given":"Ryan V."},{"family":"Black","given":"Christopher J."},{"family":"Borton","given":"David A."},{"family":"Hu","given":"Li"},{"family":"Saab","given":"Carl Y."},{"family":"Jones","given":"Stephanie R."}],"citation":"Thorpe, R. V., Black, C. J., Borton, D. A., Hu, L., Saab, C. Y., \u0026 Jones, S. R. (2024). Distinct neocortical mechanisms underlie human SI responses to median nerve and laser-evoked peripheral activation. Imaging Neuroscience, 2, 1–29. https://doi.org/10.1162/imag\\_a\\_00095","citation-label":"Thorpe.2024","container-title":"Imaging Neuroscience","id":"Thorpe.2024","issued":{"date-parts":[[2024]]},"page":"1-29","pdf":"","pub_url":"https://doi.org/10.1162/imag%5C_a%5C_00095","title":"Distinct neocortical mechanisms underlie human SI responses to median nerve and laser-evoked peripheral activation","type":"article-journal","volume":"2"},{"DOI":"10.3389/fnhum.2023.1291315","ISSN":"1662-5161","PMCID":"PMC10813208","PMID":"38283094","URL":"https://doi.org/10.3389/fnhum.2023.1291315","_graph":"","abstract":"Prefrontal circuits in the human brain play an important role in cognitive and affective processing. Neuromodulation therapies delivered to certain key hubs within these circuits are being used with increasing frequency to treat a host of neuropsychiatric disorders. However, the detailed neurophysiological effects of stimulation to these hubs are largely unknown. Here, we performed intracranial recordings across prefrontal networks while delivering electrical stimulation to two well-established white matter hubs involved in cognitive regulation and depression: the subcallosal cingulate (SCC) and ventral capsule/ventral striatum (VC/VS). We demonstrate a shared frontotemporal circuit consisting of the ventromedial prefrontal cortex, amygdala, and lateral orbitofrontal cortex where gamma oscillations are differentially modulated by stimulation target. Additionally, we found participant-specific responses to stimulation in the dorsal anterior cingulate cortex and demonstrate the capacity for further tuning of neural activity using current-steered stimulation. Our findings indicate a potential neurophysiological mechanism for the dissociable therapeutic effects seen across the SCC and VC/VS targets for psychiatric neuromodulation and our results lay the groundwork for personalized, network-guided neurostimulation therapy.","author":[{"family":"Allawala","given":"Anusha"},{"family":"Bijanki","given":"Kelly R."},{"family":"Oswalt","given":"Denise"},{"family":"Mathura","given":"Raissa K."},{"family":"Adkinson","given":"Joshua"},{"family":"Pirtle","given":"Victoria"},{"family":"Shofty","given":"Ben"},{"family":"Robinson","given":"Meghan"},{"family":"Harrison","given":"Matthew T."},{"family":"Mathew","given":"Sanjay J."},{"family":"Goodman","given":"Wayne K."},{"family":"Pouratian","given":"Nader"},{"family":"Sheth","given":"Sameer A."},{"family":"Borton","given":"David A."}],"citation":"Allawala, A., Bijanki, K. R., Oswalt, D., Mathura, R. K., Adkinson, J., Pirtle, V., Shofty, B., Robinson, M., Harrison, M. T., Mathew, S. J., Goodman, W. K., Pouratian, N., Sheth, S. A., \u0026 Borton, D. A. (2024). Prefrontal network engagement by deep brain stimulation in limbic hubs. Frontiers in Human Neuroscience, 17, 1291315. https://doi.org/10.3389/fnhum.2023.1291315","citation-label":"Allawala.2024","container-title":"Frontiers in Human Neuroscience","id":"Allawala.2024","issued":{"date-parts":[[2024]]},"page":"1291315","pdf":"","pub_url":"https://doi.org/10.3389/fnhum.2023.1291315","title":"Prefrontal network engagement by deep brain stimulation in limbic hubs","type":"article-journal","volume":"17"},{"DOI":"10.1101/2023.03.30.534945","URL":"https://doi.org/10.1101/2023.03.30.534945","_graph":"","author":[{"family":"Black","given":"Christopher J"},{"family":"Saab","given":"Carl Y"},{"family":"Borton","given":"David A"}],"citation":"Black, C. J., Saab, C. Y., \u0026 Borton, D. A. (2023). Transient gamma events delineate somatosensory modality in S1. bioRxiv, 2023–03. https://doi.org/10.1101/2023.03.30.534945","citation-label":"black2023transient","container-title":"bioRxiv","id":"black2023transient","issued":{"date-parts":[[2023]]},"page":"2023-03","pdf":"","pub_url":"https://doi.org/10.1101/2023.03.30.534945","publisher":"Cold Spring Harbor Laboratory","title":"Transient gamma events delineate somatosensory modality in S1","type":"article-journal"},{"URL":"https://link.springer.com/protocol/10.1007/978-1-0716-3287-1_12","_graph":"","author":[{"family":"Brown","given":"Sophie"},{"family":"Atherton","given":"Elaina"},{"family":"Borton","given":"David A"}],"citation":"Brown, S., Atherton, E., \u0026 Borton, D. A. (2023). A Three-Dimensional Primary Cortical Culture System Compatible with Transgenic Disease Models, Virally Mediated Fluorescence, and Live Microscopy. In Stem Cell-Based Neural Model Systems for Brain Disorders (pp. 153–167). Springer US New York, NY.","citation-label":"brown2023three","container-title":"Stem Cell-Based Neural Model Systems for Brain Disorders","id":"brown2023three","issued":{"date-parts":[[2023]]},"page":"153-167","pdf":"","pub_url":"https://link.springer.com/protocol/10.1007/978-1-0716-3287-1_12","publisher":"Springer US New York, NY","title":"A Three-Dimensional Primary Cortical Culture System Compatible with Transgenic Disease Models, Virally Mediated Fluorescence, and Live Microscopy","type":"chapter"},{"DOI":"10.14245/ns.2244652.326","URL":"https://doi.org/10.14245/ns.2244652.326","_graph":"","author":[{"family":"Alarie","given":"Michaela E"},{"family":"Provenza","given":"Nicole R"},{"family":"Avendano-Ortega","given":"Michelle"},{"family":"McKay","given":"Sarah A"},{"family":"Waite","given":"Ayan S"},{"family":"Mathura","given":"Raissa K"},{"family":"Herron","given":"Jeffrey A"},{"family":"Sheth","given":"Sameer A"},{"family":"Borton","given":"David A"},{"family":"Goodman","given":"Wayne K"}],"citation":"Alarie, M. E., Provenza, N. R., Avendano-Ortega, M., McKay, S. A., Waite, A. S., Mathura, R. K., Herron, J. A., Sheth, S. A., Borton, D. A., \u0026 Goodman, W. K. (2022). Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms. Frontiers in Human Neuroscience, 16, 1016379. https://doi.org/10.14245/ns.2244652.326","citation-label":"alarie2022artifact","container-title":"Frontiers in Human Neuroscience","id":"alarie2022artifact","issued":{"date-parts":[[2022]]},"page":"1016379","pdf":"","pub_url":"https://doi.org/10.14245/ns.2244652.326","publisher":"Frontiers","title":"Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms","type":"article-journal","volume":"16"},{"DOI":"10.1523/jneurosci.0746-22.2022","ISSN":"0270-6474","PMCID":"PMC9761674","PMID":"36283830","URL":"https://doi.org/10.1523/jneurosci.0746-22.2022","_graph":"","author":[{"family":"Xing","given":"David"},{"family":"Truccolo","given":"Wilson"},{"family":"Borton","given":"David A"}],"citation":"Xing, D., Truccolo, W., \u0026 Borton, D. A. (2022). Emergence of Distinct Neural Subspaces in Motor Cortical Dynamics during Volitional Adjustments of Ongoing Locomotion. The Journal of Neuroscience, 42(49), 9142–9157. https://doi.org/10.1523/jneurosci.0746-22.2022","citation-label":"Xing.2022","container-title":"The Journal of Neuroscience","id":"Xing.2022","issue":"49","issued":{"date-parts":[[2022]]},"page":"9142-9157","pdf":"","pub_url":"https://doi.org/10.1523/jneurosci.0746-22.2022","title":"Emergence of Distinct Neural Subspaces in Motor Cortical Dynamics during Volitional Adjustments of Ongoing Locomotion","type":"article-journal","volume":"42"},{"DOI":"10.14245/ns.2244652.326","ISSN":"2586-6583","PMCID":"PMC9537842","PMID":"36203296","URL":"https://doi.org/10.14245/ns.2244652.326","_graph":"","author":[{"family":"Lin","given":"Alice"},{"family":"Shaaya","given":"Elias"},{"family":"Calvert","given":"Jonathan S."},{"family":"Parker","given":"Samuel R."},{"family":"Borton","given":"David A."},{"family":"Fridley","given":"Jared S."}],"citation":"Lin, A., Shaaya, E., Calvert, J. S., Parker, S. R., Borton, D. A., \u0026 Fridley, J. S. (2022). A Review of Functional Restoration From Spinal Cord Stimulation in Patients With Spinal Cord Injury. Neurospine, 19(3), 703–734. https://doi.org/10.14245/ns.2244652.326","citation-label":"Lin.2022","container-title":"Neurospine","id":"Lin.2022","issue":"3","issued":{"date-parts":[[2022]]},"page":"703-734","pdf":"","pub_url":"https://doi.org/10.14245/ns.2244652.326","title":"A Review of Functional Restoration From Spinal Cord Stimulation in Patients With Spinal Cord Injury","type":"article-journal","volume":"19"},{"DOI":"10.1016/b978-0-12-818662-6.00005-4","URL":"https://doi.org/10.1016/b978-0-12-818662-6.00005-4","_graph":"","author":[{"family":"Barrios-Anderson","given":"Adriel"},{"family":"Fridley","given":"Jared S"},{"family":"Borton","given":"David A"},{"family":"Saab","given":"Carl"}],"citation":"Barrios-Anderson, A., Fridley, J. S., Borton, D. A., \u0026 Saab, C. (2022). Spinal Cord Injury Pain. 175–198. https://doi.org/10.1016/b978-0-12-818662-6.00005-4","citation-label":"Barrios-Anderson.2022","id":"Barrios-Anderson.2022","issued":{"date-parts":[[2022]]},"page":"175-198","pdf":"","pub_url":"https://doi.org/10.1016/b978-0-12-818662-6.00005-4","title":"Spinal Cord Injury Pain","type":"article-journal"},{"DOI":"10.1109/tnsre.2022.3205453","ISSN":"1534-4320","PMID":"36121940","URL":"https://doi.org/10.1109/tnsre.2022.3205453","_graph":"","author":[{"family":"Chen","given":"Paula"},{"family":"Kim","given":"Taewoo"},{"family":"Rijn","given":"Evan Dastin-van"},{"family":"Provenza","given":"Nicole R."},{"family":"Sheth","given":"Sameer A."},{"family":"Goodman","given":"Wayne K."},{"family":"Borton","given":"David A."},{"family":"Harrison","given":"Matthew T."},{"family":"Darbon","given":"Jérôme"}],"citation":"Chen, P., Kim, T., Rijn, E. D., Provenza, N. R., Sheth, S. A., Goodman, W. K., Borton, D. A., Harrison, M. T., \u0026 Darbon, J. (2022). Periodic Artifact Removal With Applications to Deep Brain Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2692–2699. https://doi.org/10.1109/tnsre.2022.3205453","citation-label":"Chen.2022","container-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","id":"Chen.2022","issued":{"date-parts":[[2022]]},"page":"2692-2699","pdf":"","pub_url":"https://doi.org/10.1109/tnsre.2022.3205453","title":"Periodic Artifact Removal With Applications to Deep Brain Stimulation","type":"article-journal","volume":"30"},{"DOI":"10.3389/fnhum.2022.934063","ISSN":"1662-5161","PMCID":"PMC9301255","PMID":"35874161","URL":"https://doi.org/10.3389/fnhum.2022.934063","_graph":"","author":[{"family":"Rijn","given":"Evan M. Dastin-van"},{"family":"Provenza","given":"Nicole R."},{"family":"Vogt","given":"Gregory S."},{"family":"Avendano-Ortega","given":"Michelle"},{"family":"Sheth","given":"Sameer A."},{"family":"Goodman","given":"Wayne K."},{"family":"Harrison","given":"Matthew T."},{"family":"Borton","given":"David A."}],"citation":"Rijn, E. M. D., Provenza, N. R., Vogt, G. S., Avendano-Ortega, M., Sheth, S. A., Goodman, W. K., Harrison, M. T., \u0026 Borton, D. A. (2022). PELP: Accounting for Missing Data in Neural Time Series by Periodic Estimation of Lost Packets. Frontiers in Human Neuroscience, 16, 934063. https://doi.org/10.3389/fnhum.2022.934063","citation-label":"Rijn.2022","container-title":"Frontiers in Human Neuroscience","id":"Rijn.2022","issued":{"date-parts":[[2022]]},"page":"934063","pdf":"","pub_url":"https://doi.org/10.3389/fnhum.2022.934063","title":"PELP: Accounting for Missing Data in Neural Time Series by Periodic Estimation of Lost Packets","type":"article-journal","volume":"16"},{"DOI":"10.1088/1741-2552/ac9646","ISSN":"1741-2560","PMID":"36174534","URL":"https://doi.org/10.1088/1741-2552/ac9646","_graph":"","author":[{"family":"Govindarajan","given":"Lakshmi Narasimhan"},{"family":"Calvert","given":"Jonathan"},{"family":"Parker","given":"Samuel"},{"family":"Jung","given":"Minju"},{"family":"Darie","given":"Radu"},{"family":"Miranda","given":"Priyanka"},{"family":"Shaaya","given":"Elias"},{"family":"Borton","given":"David"},{"family":"Serre","given":"Thomas"}],"citation":"Govindarajan, L. N., Calvert, J., Parker, S., Jung, M., Darie, R., Miranda, P., Shaaya, E., Borton, D., \u0026 Serre, T. (2022). Fast inference of spinal neuromodulation for motor control using amortized neural networks. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac9646","citation-label":"Govindarajan.2022","container-title":"Journal of neural engineering","id":"Govindarajan.2022","issued":{"date-parts":[[2022]]},"pdf":"","pub_url":"https://doi.org/10.1088/1741-2552/ac9646","title":"Fast inference of spinal neuromodulation for motor control using amortized neural networks.","type":"article-journal"},{"DOI":"10.1016/j.neurom.2022.03.007","ISSN":"1094-7159","PMID":"35551869","URL":"https://doi.org/10.1016/j.neurom.2022.03.007","_graph":"","author":[{"family":"Calvert","given":"Jonathan S."},{"family":"Darie","given":"Radu"},{"family":"Parker","given":"Samuel R."},{"family":"Shaaya","given":"Elias"},{"family":"Syed","given":"Sohail"},{"family":"McLaughlin","given":"Bryan L."},{"family":"Fridley","given":"Jared S."},{"family":"Borton","given":"David A."}],"citation":"Calvert, J. S., Darie, R., Parker, S. R., Shaaya, E., Syed, S., McLaughlin, B. L., Fridley, J. S., \u0026 Borton, D. A. (2022). Spatiotemporal Distribution of Electrically Evoked Spinal Compound Action Potentials During Spinal Cord Stimulation. Neuromodulation: Technology at the Neural Interface. https://doi.org/10.1016/j.neurom.2022.03.007","citation-label":"Calvert.2022","container-title":"Neuromodulation: Technology at the Neural Interface","id":"Calvert.2022","issued":{"date-parts":[[2022]]},"pdf":"","pub_url":"https://doi.org/10.1016/j.neurom.2022.03.007","title":"Spatiotemporal Distribution of Electrically Evoked Spinal Compound Action Potentials During Spinal Cord Stimulation","type":"article-journal"},{"DOI":"10.1590/1516-4446-2020-1675","ISSN":"1516-4446","PMCID":"PMC9041958","PMID":"34320125","URL":"https://doi.org/10.1590/1516-4446-2020-1675","_graph":"","author":[{"family":"Provenza","given":"Nicole R"},{"family":"Gelin","given":"Luiz Fernando Fracassi"},{"family":"Mahaphanit","given":"Wasita"},{"family":"McGrath","given":"Mary C"},{"family":"Rijn","given":"Evan M Dastin-van"},{"family":"Fan","given":"Yunshu"},{"family":"Dhar","given":"Rashi"},{"family":"Frank","given":"Michael J"},{"family":"Restrepo","given":"Maria I"},{"family":"Goodman","given":"Wayne K"},{"family":"Borton","given":"David A"}],"citation":"Provenza, N. R., Gelin, L. F. F., Mahaphanit, W., McGrath, M. C., Rijn, E. M. D., Fan, Y., Dhar, R., Frank, M. J., Restrepo, M. I., Goodman, W. K., \u0026 Borton, D. A. (2022). Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use. Revista Brasileira de Psiquiatria (Sao Paulo, Brazil : 1999), 44(2), 147–155. https://doi.org/10.1590/1516-4446-2020-1675","citation-label":"Provenza.2022","container-title":"Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)","id":"Provenza.2022","issue":"2","issued":{"date-parts":[[2022]]},"page":"147-155","pdf":"","pub_url":"https://doi.org/10.1590/1516-4446-2020-1675","title":"Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use.","type":"article-journal","volume":"44"},{"DOI":"10.1016/j.biopsych.2021.11.007","ISSN":"0006-3223","URL":"https://www.sciencedirect.com/science/article/pii/S0006322321017479","_graph":"","author":[{"family":"Sheth","given":"Sameer A."},{"family":"Bijanki","given":"Kelly R."},{"family":"Metzger","given":"Brian"},{"family":"Allawala","given":"Anusha"},{"family":"Pirtle","given":"Victoria"},{"family":"Adkinson","given":"Joshua A."},{"family":"Myers","given":"John"},{"family":"Mathura","given":"Raissa K."},{"family":"Oswalt","given":"Denise"},{"family":"Tsolaki","given":"Evangelia"},{"family":"Xiao","given":"Jiayang"},{"family":"Noecker","given":"Angela"},{"family":"Strutt","given":"Adriana M."},{"family":"Cohn","given":"Jeffrey F."},{"family":"McIntyre","given":"Cameron C."},{"family":"Mathew","given":"Sanjay J."},{"family":"Borton","given":"David"},{"family":"Goodman","given":"Wayne"},{"family":"Pouratian","given":"Nader"}],"citation":"Sheth, S. A., Bijanki, K. R., Metzger, B., Allawala, A., Pirtle, V., Adkinson, J. A., Myers, J., Mathura, R. K., Oswalt, D., Tsolaki, E., Xiao, J., Noecker, A., Strutt, A. M., Cohn, J. F., McIntyre, C. C., Mathew, S. J., Borton, D., Goodman, W., \u0026 Pouratian, N. (2022). Deep Brain Stimulation for Depression Informed by Intracranial Recordings. Biological Psychiatry, 92(3), 246–251. https://doi.org/10.1016/j.biopsych.2021.11.007","citation-label":"Sheth.2022","container-title":"Biological Psychiatry","id":"Sheth.2022","issue":"3","issued":{"date-parts":[[2022]]},"keyword":"Deep brain stimulation,Depression,Epilepsy,Network,Neuromodulation,Stereo-EEG","page":"246-251","pdf":"","pub_url":"https://www.sciencedirect.com/science/article/pii/S0006322321017479","title":"Deep Brain Stimulation for Depression Informed by Intracranial Recordings","type":"article-journal","volume":"92"},{"DOI":"10.1088/1741-2552/ac6908","ISSN":"1741-2560","PMID":"35447619","URL":"https://doi.org/10.1088/1741-2552/ac6908","_graph":"","author":[{"family":"Atherton","given":"Elaina"},{"family":"Hu","given":"Yue"},{"family":"Brown","given":"Sophie"},{"family":"Papiez","given":"Emily"},{"family":"Ling","given":"Vivian"},{"family":"Colvin","given":"Vicki L"},{"family":"Borton","given":"David A"}],"citation":"Atherton, E., Hu, Y., Brown, S., Papiez, E., Ling, V., Colvin, V. L., \u0026 Borton, D. A. (2022). A 3D in vitro model of the device-tissue interface: functional and structural symptoms of innate neuroinflammation are mitigated by antioxidant ceria nanoparticles. Journal of Neural Engineering, 19(3), 036004. https://doi.org/10.1088/1741-2552/ac6908","citation-label":"Atherton.2022","container-title":"Journal of Neural Engineering","id":"Atherton.2022","issue":"3","issued":{"date-parts":[[2022]]},"page":"036004","pdf":"","pub_url":"https://doi.org/10.1088/1741-2552/ac6908","title":"A 3D in vitro model of the device-tissue interface: functional and structural symptoms of innate neuroinflammation are mitigated by antioxidant ceria nanoparticles","type":"article-journal","volume":"19"},{"DOI":"10.1038/s41591-021-01550-z","ISSN":"1078-8956, 1546-170X","PMID":"34887577","URL":"http://dx.doi.org/10.1038/s41591-021-01550-z","_graph":"","abstract":"Detection of neural signatures related to pathological behavioral states could enable adaptive deep brain stimulation (DBS), a potential strategy for improving efficacy of DBS for neurological and psychiatric disorders. This approach requires identifying neural biomarkers of relevant behavioral states, a task best performed in ecologically valid environments. Here, in human participants with obsessive-compulsive disorder (OCD) implanted with recording-capable DBS devices, we synchronized chronic ventral striatum local field potentials with relevant, disease-specific behaviors. We captured over 1,000 h of local field potentials in the clinic and at home during unstructured activity, as well as during DBS and exposure therapy. The wide range of symptom severity over which the data were captured allowed us to identify candidate neural biomarkers of OCD symptom intensity. This work demonstrates the feasibility and utility of capturing chronic intracranial electrophysiology during daily symptom fluctuations to enable neural biomarker identification, a prerequisite for future development of adaptive DBS for OCD and other psychiatric disorders.","author":[{"family":"Provenza","given":"Nicole R"},{"family":"Sheth","given":"Sameer A"},{"family":"Rijn","given":"Evan M","non-dropping-particle":"Dastin-van"},{"family":"Mathura","given":"Raissa K"},{"family":"Ding","given":"Yaohan"},{"family":"Vogt","given":"Gregory S"},{"family":"Avendano-Ortega","given":"Michelle"},{"family":"Ramakrishnan","given":"Nithya"},{"family":"Peled","given":"Noam"},{"family":"Gelin","given":"Luiz Fernando Fracassi"},{"family":"Xing","given":"David"},{"family":"Jeni","given":"Laszlo A"},{"family":"Ertugrul","given":"Itir Onal"},{"family":"Barrios-Anderson","given":"Adriel"},{"family":"Matteson","given":"Evan"},{"family":"Wiese","given":"Andrew D"},{"family":"Xu","given":"Junqian"},{"family":"Viswanathan","given":"Ashwin"},{"family":"Harrison","given":"Matthew T"},{"family":"Bijanki","given":"Kelly R"},{"family":"Storch","given":"Eric A"},{"family":"Cohn","given":"Jeffrey F"},{"family":"Goodman","given":"Wayne K"},{"family":"Borton","given":"David A"}],"citation":"Provenza, N. R., Sheth, S. A., Dastin-van Rijn, E. M., Mathura, R. K., Ding, Y., Vogt, G. S., Avendano-Ortega, M., Ramakrishnan, N., Peled, N., Gelin, L. F. F., Xing, D., Jeni, L. A., Ertugrul, I. O., Barrios-Anderson, A., Matteson, E., Wiese, A. D., Xu, J., Viswanathan, A., Harrison, M. T., … Borton, D. A. (2021). Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder. Nat. Med., 27(12), 2154–2164. https://doi.org/10.1038/s41591-021-01550-z","citation-label":"Provenza2021-dt","container-title":"Nat. Med.","id":"Provenza2021-dt","issue":"12","issued":{"date-parts":[[2021,12]]},"language":"en","page":"2154-2164","pdf":"","pub_url":"http://dx.doi.org/10.1038/s41591-021-01550-z","title":"Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder","type":"article-journal","volume":"27"},{"DOI":"10.3389/fnins.2019.01046","ISSN":"1662-4548, 1662-453X","PMID":"31636530","URL":"http://dx.doi.org/10.3389/fnins.2019.01046","_graph":"","abstract":"The dynamical systems view of movement generation in motor cortical areas has emerged as an effective way to explain the firing properties of populations of neurons recorded from these regions. Recently, many studies have focused on finding low-dimensional representations of these dynamical systems during voluntary reaching and grasping behaviors carried out by the forelimbs. One such model, the Poisson linear-dynamical-system (PLDS) model, has been shown to extract dynamics which can be used to decode reaching kinematics. However, few have investigated these dynamics, especially in non-human primates, during behaviors such as locomotion, which may involve motor cortex to a lesser degree. Here, we focused on unconstrained quadrupedal locomotion, and investigated whether unsupervised latent state-space models can extract low-dimensional dynamics while preserving information about hind-limb kinematics. Spiking activity from the leg area of primary motor cortex of rhesus macaques was recorded simultaneously with hind-limb joint positions during ambulation across a corridor, ladder, and on a treadmill at various speeds. We found that PLDS models can extract stereotyped low-dimensional neural trajectories from these neurons phase-locked to the gait cycle, and that distinct trajectories emerge depending on the speed and class of behavior. Additionally, it was possible to decode both the hind-limb kinematics and the gait phase from these inferred trajectories just as well or better than from the full neural population (18-80 neurons) with only 12 dimensions. Our results demonstrate that kinematics and gait phase during various locomotion tasks are well represented in low-dimensional latent dynamics inferred from motor cortex population activity.","author":[{"family":"Xing","given":"David"},{"family":"Aghagolzadeh","given":"Mehdi"},{"family":"Truccolo","given":"Wilson"},{"family":"Borton","given":"David"}],"citation":"Xing, D., Aghagolzadeh, M., Truccolo, W., \u0026 Borton, D. (2019). Low-Dimensional Motor Cortex Dynamics Preserve Kinematics Information During Unconstrained Locomotion in Nonhuman Primates. Frontiers in Neuroscience, 13, 1046. https://doi.org/10.3389/fnins.2019.01046","citation-label":"Xing2019-cu","container-title":"Frontiers in Neuroscience","id":"Xing2019-cu","issued":{"date-parts":[[2019,10]]},"keyword":"locomotion; low dimensional dynamics; non-human primate (NHP); poisson linear dynamical system; primary motor cortex (M1)","language":"en","page":"1046","pdf":"","pub_url":"http://dx.doi.org/10.3389/fnins.2019.01046","title":"Low-Dimensional Motor Cortex Dynamics Preserve Kinematics Information During Unconstrained Locomotion in Nonhuman Primates","type":"article-journal","volume":"13"},{"DOI":"10.1109/JPROC.2009.2038949","ISSN":"0018-9219","PMID":"21654935","URL":"http://dx.doi.org/10.1109/JPROC.2009.2038949","_graph":"","abstract":"Acquiring neural signals at high spatial and temporal resolution directly from brain microcircuits and decoding their activity to interpret commands and/or prior planning activity, such as motion of an arm or a leg, is a prime goal of modern neurotechnology. Its practical aims include assistive devices for subjects whose normal neural information pathways are not functioning due to physical damage or disease. On the fundamental side, researchers are striving to decipher the code of multiple neural microcircuits which collectively make up nature's amazing computing machine, the brain. By implanting biocompatible neural sensor probes directly into the brain, in the form of microelectrode arrays, it is now possible to extract information from interacting populations of neural cells with spatial and temporal resolution at the single cell level. With parallel advances in application of statistical and mathematical techniques tools for deciphering the neural code, extracted populations or correlated neurons, significant understanding has been achieved of those brain commands that control, e.g., the motion of an arm in a primate (monkey or a human subject). These developments are accelerating the work on neural prosthetics where brain derived signals may be employed to bypass, e.g., an injured spinal cord. One key element in achieving the goals for practical and versatile neural prostheses is the development of fully implantable wireless microelectronic ??brain-interfaces?? within the body, a point of special emphasis of this paper.","author":[{"family":"Nurmikko","given":"Arto V"},{"family":"Donoghue","given":"John P"},{"family":"Hochberg","given":"Leigh R"},{"family":"Patterson","given":"William R"},{"family":"Song","given":"Yoon-Kyu"},{"family":"Bull","given":"Christopher W"},{"family":"Borton","given":"David A"},{"family":"Laiwalla","given":"Farah"},{"family":"Park","given":"Sunmee"},{"family":"Ming","given":"Yin"},{"family":"Aceros","given":"Juan"}],"citation":"Nurmikko, A. V., Donoghue, J. P., Hochberg, L. R., Patterson, W. R., Song, Y.-K., Bull, C. W., Borton, D. A., Laiwalla, F., Park, S., Ming, Y., \u0026 Aceros, J. (2010). Listening to Brain Microcircuits for Interfacing With External World-Progress in Wireless Implantable Microelectronic Neuroengineering Devices: Experimental systems are described for electrical recording in the brain using multiple microelectrodes and short range implantable or wearable broadcasting units. Proc. IEEE Inst. Electr. Electron. Eng., 98(3), 375–388. https://doi.org/10.1109/JPROC.2009.2038949","citation-label":"Nurmikko2010-yc","container-title":"Proc. IEEE Inst. Electr. Electron. Eng.","id":"Nurmikko2010-yc","issue":"3","issued":{"date-parts":[[2010]]},"keyword":"biomedical devices; brain science; neural engineering; neural signal recording","language":"en","page":"375-388","pdf":"","pub_url":"http://dx.doi.org/10.1109/JPROC.2009.2038949","title":"Listening to Brain Microcircuits for Interfacing With External World-Progress in Wireless Implantable Microelectronic Neuroengineering Devices: Experimental systems are described for electrical recording in the brain using multiple microelectrodes and short range implantable or wearable broadcasting units","type":"article-journal","volume":"98"},{"DOI":"10.1109/EMBC.2013.6610199","ISSN":"1557-170X","PMID":"24110386","URL":"http://dx.doi.org/10.1109/EMBC.2013.6610199","_graph":"","abstract":"In this paper we present a new type of head-mounted wireless neural recording device in a highly compact package, dedicated for untethered laboratory animal research and designed for future mobile human clinical use. The device, which takes its input from an array of intracortical microelectrode arrays (MEA) has ninety-seven broadband parallel neural recording channels and was integrated on to two custom designed printed circuit boards. These house several low power, custom integrated circuits, including a preamplifier ASIC, a controller ASIC, plus two SAR ADCs, a 3-axis accelerometer, a 48MHz clock source, and a Manchester encoder. Another ultralow power RF chip supports an OOK transmitter with the center frequency tunable from 3GHz to 4GHz, mounted on a separate low loss dielectric board together with a 3V LDO, with output fed to a UWB chip antenna. The IC boards were interconnected and packaged in a polyether ether ketone (PEEK) enclosure which is compatible with both animal and human use (e.g. sterilizable). The entire system consumes 17mA from a 1.2Ahr 3.6V Li-SOCl2 1/2AA battery, which operates the device for more than 2 days. The overall system includes a custom RF receiver electronics which are designed to directly interface with any number of commercial (or custom) neural signal processors for multi-channel broadband neural recording. Bench-top measurements and in vivo testing of the device in rhesus macaques are presented to demonstrate the performance of the wireless neural interface.","author":[{"family":"Yin","given":"Ming"},{"family":"Li","given":"Hao"},{"family":"Bull","given":"Christopher"},{"family":"Borton","given":"David A"},{"family":"Aceros","given":"Juan"},{"family":"Larson","given":"Lawrence"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Yin, M., Li, H., Bull, C., Borton, D. A., Aceros, J., Larson, L., \u0026 Nurmikko, A. V. (2013). An externally head-mounted wireless neural recording device for laboratory animal research and possible human clinical use. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2013, 3109–3114. https://doi.org/10.1109/EMBC.2013.6610199","citation-label":"Yin2013-ir","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Yin2013-ir","issued":{"date-parts":[[2013]]},"language":"en","page":"3109-3114","pdf":"","pub_url":"http://dx.doi.org/10.1109/EMBC.2013.6610199","title":"An externally head-mounted wireless neural recording device for laboratory animal research and possible human clinical use","type":"article-journal","volume":"2013"},{"DOI":"10.1109/IEMBS.2011.6091855","ISSN":"1557-170X","PMID":"22256079","URL":"http://dx.doi.org/10.1109/IEMBS.2011.6091855","_graph":"","abstract":"Methods on rendering neurons in the central nervous system to be light responsive has led to a boom in using optical neuromodulation as a new approach for controlling brain states and understanding neural circuits. In addition to the developing versatility to “optogenetically” labeling of neural cells and their subtypes by microbiological methods, parallel efforts are under way to design and implement optoelectronic devices to achieve simultaneous optical neuromodulation and electrophysiological recording with high spatial and temporal resolution. Such new device-based technologies need to be developed for full exploitation of the promise of optogenetics. In this paper we present single- and multi-element optoelectronic devices developed in our laboratories. The single-unit element, namely the coaxial optrode, was utilized to characterize the neural responses in optogenetically modified rodent and primate models. Furthermore, the multi-element device, integrating the optrode with a 6\\times6 microelectrode array, was used to characterize the spatiotemporal spread of neural activity in response to single-site optical stimulation in freely moving rats. We suggest that the particular approaches we employed can lead to the emergence of methods where spatio-temporal optical modulation is integrated with real-time read out from neural populations.","author":[{"family":"Wang","given":"Jing"},{"family":"Ozden","given":"Ilker"},{"family":"Diagne","given":"Mohamed"},{"family":"Wagner","given":"Fabien"},{"family":"Borton","given":"David"},{"family":"Brush","given":"Benjamin"},{"family":"Agha","given":"Naubahar"},{"family":"Burwell","given":"Rebecca"},{"family":"Sheinberg","given":"David"},{"family":"Diester","given":"Ilka"},{"family":"Deisseroth","given":"Karl"},{"family":"Nurmikko","given":"Arto"}],"citation":"Wang, J., Ozden, I., Diagne, M., Wagner, F., Borton, D., Brush, B., Agha, N., Burwell, R., Sheinberg, D., Diester, I., Deisseroth, K., \u0026 Nurmikko, A. (2011). Approaches to optical neuromodulation from rodents to non-human primates by integrated optoelectronic devices. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2011, 7525–7528. https://doi.org/10.1109/IEMBS.2011.6091855","citation-label":"Wang2011-ft","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Wang2011-ft","issued":{"date-parts":[[2011]]},"language":"en","page":"7525-7528","pdf":"","pub_url":"http://dx.doi.org/10.1109/IEMBS.2011.6091855","title":"Approaches to optical neuromodulation from rodents to non-human primates by integrated optoelectronic devices","type":"article-journal","volume":"2011"},{"DOI":"10.1371/journal.pone.0114529","ISSN":"1932-6203","PMID":"25541938","URL":"http://dx.doi.org/10.1371/journal.pone.0114529","_graph":"","abstract":"Neuroprosthesis research aims to enable communication between the brain and external assistive devices while restoring lost functionality such as occurs from stroke, spinal cord injury or neurodegenerative diseases. In future closed-loop sensorimotor prostheses, one approach is to use neuromodulation as direct stimulus to the brain to compensate for a lost sensory function and help the brain to integrate relevant information for commanding external devices via, e.g. movement intention. Current neuromodulation techniques rely mainly of electrical stimulation. Here we focus specifically on the question of eliciting a biomimetically relevant sense of touch by direct stimulus of the somatosensory cortex by introducing optogenetic techniques as an alternative to electrical stimulation. We demonstrate that light activated opsins can be introduced to target neurons in the somatosensory cortex of non-human primates and be optically activated to create a reliably detected sensation which the animal learns to interpret as a tactile sensation localized within the hand. The accomplishment highlighted here shows how optical stimulation of a relatively small group of mostly excitatory somatosensory neurons in the nonhuman primate brain is sufficient for eliciting a useful sensation from data acquired by simultaneous electrophysiology and from behavioral metrics. In this first report to date on optically neuromodulated behavior in the somatosensory cortex of nonhuman primates we do not yet dissect the details of the sensation the animals exerience or contrast it to those evoked by electrical stimulation, issues of considerable future interest.","author":[{"family":"May","given":"Travis"},{"family":"Ozden","given":"Ilker"},{"family":"Brush","given":"Benjamin"},{"family":"Borton","given":"David"},{"family":"Wagner","given":"Fabien"},{"family":"Agha","given":"Naubahar"},{"family":"Sheinberg","given":"David L"},{"family":"Nurmikko","given":"Arto V"}],"citation":"May, T., Ozden, I., Brush, B., Borton, D., Wagner, F., Agha, N., Sheinberg, D. L., \u0026 Nurmikko, A. V. (2014). Detection of optogenetic stimulation in somatosensory cortex by non-human primates–towards artificial tactile sensation. PLoS One, 9(12), e114529. https://doi.org/10.1371/journal.pone.0114529","citation-label":"May2014-uw","container-title":"PLoS One","id":"May2014-uw","issue":"12","issued":{"date-parts":[[2014,12]]},"language":"en","page":"e114529","pdf":"","pub_url":"http://dx.doi.org/10.1371/journal.pone.0114529","title":"Detection of optogenetic stimulation in somatosensory cortex by non-human primates–towards artificial tactile sensation","type":"article-journal","volume":"9"},{"DOI":"10.1038/nature20118","ISSN":"0028-0836, 1476-4687","PMID":"27830790","URL":"http://dx.doi.org/10.1038/nature20118","_graph":"","abstract":"Spinal cord injury disrupts the communication between the brain and the spinal circuits that orchestrate movement. To bypass the lesion, brain-computer interfaces have directly linked cortical activity to electrical stimulation of muscles, and have thus restored grasping abilities after hand paralysis. Theoretically, this strategy could also restore control over leg muscle activity for walking. However, replicating the complex sequence of individual muscle activation patterns underlying natural and adaptive locomotor movements poses formidable conceptual and technological challenges. Recently, it was shown in rats that epidural electrical stimulation of the lumbar spinal cord can reproduce the natural activation of synergistic muscle groups producing locomotion. Here we interface leg motor cortex activity with epidural electrical stimulation protocols to establish a brain-spine interface that alleviated gait deficits after a spinal cord injury in non-human primates. Rhesus monkeys (Macaca mulatta) were implanted with an intracortical microelectrode array in the leg area of the motor cortex and with a spinal cord stimulation system composed of a spatially selective epidural implant and a pulse generator with real-time triggering capabilities. We designed and implemented wireless control systems that linked online neural decoding of extension and flexion motor states with stimulation protocols promoting these movements. These systems allowed the monkeys to behave freely without any restrictions or constraining tethered electronics. After validation of the brain-spine interface in intact (uninjured) monkeys, we performed a unilateral corticospinal tract lesion at the thoracic level. As early as six days post-injury and without prior training of the monkeys, the brain-spine interface restored weight-bearing locomotion of the paralysed leg on a treadmill and overground. The implantable components integrated in the brain-spine interface have all been approved for investigational applications in similar human research, suggesting a practical translational pathway for proof-of-concept studies in people with spinal cord injury.","author":[{"family":"Capogrosso","given":"Marco"},{"family":"Milekovic","given":"Tomislav"},{"family":"Borton","given":"David"},{"family":"Wagner","given":"Fabien"},{"family":"Moraud","given":"Eduardo Martin"},{"family":"Mignardot","given":"Jean-Baptiste"},{"family":"Buse","given":"Nicolas"},{"family":"Gandar","given":"Jerome"},{"family":"Barraud","given":"Quentin"},{"family":"Xing","given":"David"},{"family":"Rey","given":"Elodie"},{"family":"Duis","given":"Simone"},{"family":"Jianzhong","given":"Yang"},{"family":"Ko","given":"Wai Kin D"},{"family":"Li","given":"Qin"},{"family":"Detemple","given":"Peter"},{"family":"Denison","given":"Tim"},{"family":"Micera","given":"Silvestro"},{"family":"Bezard","given":"Erwan"},{"family":"Bloch","given":"Jocelyne"},{"family":"Courtine","given":"Grégoire"}],"citation":"Capogrosso, M., Milekovic, T., Borton, D., Wagner, F., Moraud, E. M., Mignardot, J.-B., Buse, N., Gandar, J., Barraud, Q., Xing, D., Rey, E., Duis, S., Jianzhong, Y., Ko, W. K. D., Li, Q., Detemple, P., Denison, T., Micera, S., Bezard, E., … Courtine, G. (2016). A brain-spine interface alleviating gait deficits after spinal cord injury in primates. Nature, 539(7628), 284–288. https://doi.org/10.1038/nature20118","citation-label":"Capogrosso2016-kn","container-title":"Nature","id":"Capogrosso2016-kn","issue":"7628","issued":{"date-parts":[[2016,11]]},"language":"en","page":"284-288","pdf":"","pub_url":"http://dx.doi.org/10.1038/nature20118","title":"A brain-spine interface alleviating gait deficits after spinal cord injury in primates","type":"article-journal","volume":"539"},{"DOI":"10.1016/j.jneumeth.2017.06.013","ISSN":"0165-0270, 1872-678X","PMID":"28648720","URL":"http://dx.doi.org/10.1016/j.jneumeth.2017.06.013","_graph":"","abstract":"BACKGROUND: Wireless neural recording technologies now provide untethered access to large populations of neurons in the nonhuman primate brain. Such technologies enable long-term, continuous interrogation of neural circuits and importantly open the door for chronic neurorehabilitation platforms. For example, by providing continuous consistent closed loop feedback from a brain machine interface, the nervous system can leverage plasticity to integrate more effectively into the system than would be possible in short experimental sessions. However, to fully realize this opportunity necessitates the development of experimental environments that do not hinder wireless data transmission. Traditional nonhuman primate metal cage construction, while durable and standardized around the world, prevents data transmission at the frequencies necessary for high-bandwidth data transfer. NEW METHOD: To overcome this limitation, we have engineered and constructed a radio-frequency transparent home environment for nonhuman primates using primarily non-conductive materials. RESULTS: Computational modeling and empirical testing were performed to demonstrate the behavior of transmitted signals passing through the enclosure. In addition, neural data were successfully recorded from a freely behaving nonhuman primate inside the housing system. COMPARISON WITH EXISTING METHODS: Our design outperforms standard metallic home cages by allowing radiation to transmit beyond its boundaries, without significant interference, while simultaneously maintaining the mechanical and operational integrity of existing commercial home cages. CONCLUSIONS: Continuous access to neural signals in combination with other bio-potential and kinematic sensors will empower new insights into unrestrained behavior, aid the development of advanced neural prostheses, and enable neurorehabilitation strategies to be employed outside traditional environments.","author":[{"family":"Powell","given":"Marc P"},{"family":"Britz","given":"William R"},{"family":"Harper","given":"James S","suffix":"3rd"},{"family":"Borton","given":"David A"}],"citation":"Powell, M. P., Britz, W. R., Harper, J. S., 3rd, \u0026 Borton, D. A. (2017). An engineered home environment for untethered data telemetry from nonhuman primates. J. Neurosci. Methods, 288, 72–81. https://doi.org/10.1016/j.jneumeth.2017.06.013","citation-label":"Powell2017-zb","container-title":"J. Neurosci. Methods","id":"Powell2017-zb","issued":{"date-parts":[[2017,8]]},"keyword":"Freely behaving; Husbandry; Neurorehabilitation; Nonhuman primate; Telemetry; Wireless neural recording","language":"en","page":"72-81","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.jneumeth.2017.06.013","title":"An engineered home environment for untethered data telemetry from nonhuman primates","type":"article-journal","volume":"288"},{"DOI":"10.1145/3242969.3243023","PMID":"30511050","URL":"http://dx.doi.org/10.1145/3242969.3243023","_graph":"","abstract":"Automated measurement of affective behavior in psychopathology has been limited primarily to screening and diagnosis. While useful, clinicians more often are concerned with whether patients are improving in response to treatment. Are symptoms abating, is affect becoming more positive, are unanticipated side effects emerging? When treatment includes neural implants, need for objective, repeatable biometrics tied to neurophysiology becomes especially pressing. We used automated face analysis to assess treatment response to deep brain stimulation (DBS) in two patients with intractable obsessive-compulsive disorder (OCD). One was assessed intraoperatively following implantation and activation of the DBS device. The other was assessed three months post-implantation. Both were assessed during DBS on and o conditions. Positive and negative valence were quantified using a CNN trained on normative data of 160 non-OCD participants. Thus, a secondary goal was domain transfer of the classifiers. In both contexts, DBS-on resulted in marked positive affect. In response to DBS-off, affect flattened in both contexts and alternated with increased negative affect in the outpatient setting. Mean AUC for domain transfer was 0.87. These findings suggest that parametric variation of DBS is strongly related to affective behavior and may introduce vulnerability for negative affect in the event that DBS is discontinued.","author":[{"family":"Cohn","given":"Jeffrey F"},{"family":"Okun","given":"Michael S"},{"family":"Jeni","given":"Laszlo A"},{"family":"Ertugrul","given":"Itir Onal"},{"family":"Borton","given":"David"},{"family":"Malone","given":"Donald"},{"family":"Goodman","given":"Wayne K"}],"citation":"Cohn, J. F., Okun, M. S., Jeni, L. A., Ertugrul, I. O., Borton, D., Malone, D., \u0026 Goodman, W. K. (2018). Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study. Proc ACM Int Conf Multimodal Interact, 2018, 40–44. https://doi.org/10.1145/3242969.3243023","citation-label":"Cohn2018-my","container-title":"Proc ACM Int Conf Multimodal Interact","id":"Cohn2018-my","issued":{"date-parts":[[2018,10]]},"keyword":"Action units; Behavioral dynamics; Body expression; Deep brain stimulation; Facial expression; Obsessive compulsive disorder; Social signal processing","language":"en","page":"40-44","pdf":"","pub_url":"http://dx.doi.org/10.1145/3242969.3243023","title":"Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study","type":"article-journal","volume":"2018"},{"DOI":"10.3389/fnins.2020.604517","ISSN":"1662-4548, 1662-453X","PMID":"33192284","URL":"http://dx.doi.org/10.3389/fnins.2020.604517","_graph":"","abstract":"[This corrects the article DOI: 10.3389/fnins.2019.01046.].","author":[{"family":"Xing","given":"David"},{"family":"Aghagolzadeh","given":"Mehdi"},{"family":"Truccolo","given":"Wilson"},{"family":"Bezard","given":"Erwan"},{"family":"Courtine","given":"Gregoire"},{"family":"Borton","given":"David"}],"citation":"Xing, D., Aghagolzadeh, M., Truccolo, W., Bezard, E., Courtine, G., \u0026 Borton, D. (2020). Corrigendum: Low-Dimensional Motor Cortex Dynamics Preserve Kinematics Information During Unconstrained Locomotion in Nonhuman Primates. Front. Neurosci., 14, 604517. https://doi.org/10.3389/fnins.2020.604517","citation-label":"Xing2020-qa","container-title":"Front. Neurosci.","id":"Xing2020-qa","issued":{"date-parts":[[2020,10]]},"keyword":"locomotion; low dimensional dynamics; non-human primate (NHP); poisson linear dynamical system; primary motor cortex (M1)","language":"en","page":"604517","pdf":"","pub_url":"http://dx.doi.org/10.3389/fnins.2020.604517","title":"Corrigendum: Low-Dimensional Motor Cortex Dynamics Preserve Kinematics Information During Unconstrained Locomotion in Nonhuman Primates","type":"article-journal","volume":"14"},{"DOI":"10.1117/1.NPh.2.3.031202","ISSN":"2329-423X","PMID":"26158011","URL":"http://dx.doi.org/10.1117/1.NPh.2.3.031202","_graph":"","abstract":"Attracted by the appealing advantages of optogenetics, many nonhuman primate labs are attempting to incorporate this technique in their experiments. Despite some reported successes by a few groups, many still find it difficult to develop a reliable way to transduce cells in the monkey brain and subsequently monitor light-induced neuronal activity. Here, we describe a methodology that we have developed and successfully deployed on a regular basis with multiple monkeys. All devices and accessories are easy to obtain and results using these have been proven to be highly replicable. We developed the “in-chair” viral injection system and used tapered and thinner fibers for optical stimulation, which significantly improved the efficacy and reduced tissue damage. With these methods, we have successfully transduced cells in multiple monkeys in both deep and shallow cortical areas. We could reliably obtain neural modulation for months after injection, and no light-induced artifacts were observed during recordings. Further experiments using these methods have shown that optogenetic stimulation can be used to bias spatial attention in a visual choice discrimination task in a way comparable to electrical microstimulation, which demonstrates the potential use of our methods in both fundamental research and clinical applications.","author":[{"family":"Dai","given":"Ji"},{"family":"Ozden","given":"Ilker"},{"family":"Brooks","given":"Daniel I"},{"family":"Wagner","given":"Fabien"},{"family":"May","given":"Travis"},{"family":"Agha","given":"Naubahar S"},{"family":"Brush","given":"Benjamin"},{"family":"Borton","given":"David"},{"family":"Nurmikko","given":"Arto V"},{"family":"Sheinberg","given":"David L"}],"citation":"Dai, J., Ozden, I., Brooks, D. I., Wagner, F., May, T., Agha, N. S., Brush, B., Borton, D., Nurmikko, A. V., \u0026 Sheinberg, D. L. (2015). Modified toolbox for optogenetics in the nonhuman primate. Neurophotonics, 2(3), 031202. https://doi.org/10.1117/1.NPh.2.3.031202","citation-label":"Dai2015-sb","container-title":"Neurophotonics","id":"Dai2015-sb","issue":"3","issued":{"date-parts":[[2015,7]]},"keyword":"methodology; nonhuman primate; optogenetics","language":"en","page":"031202","pdf":"","pub_url":"http://dx.doi.org/10.1117/1.NPh.2.3.031202","title":"Modified toolbox for optogenetics in the nonhuman primate","type":"article-journal","volume":"2"},{"DOI":"10.1016/j.biopsych.2021.11.007","ISSN":"0006-3223, 1873-2402","PMID":"35063186","URL":"http://dx.doi.org/10.1016/j.biopsych.2021.11.007","_graph":"","abstract":"The success of deep brain stimulation (DBS) for treating Parkinson's disease has led to its application to several other disorders, including treatment-resistant depression. Results with DBS for treatment-resistant depression have been heterogeneous, with inconsistencies largely driven by incomplete understanding of the brain networks regulating mood, especially on an individual basis. We report results from the first subject treated with DBS for treatment-resistant depression using an approach that incorporates intracranial recordings to personalize understanding of network behavior and its response to stimulation. These recordings enabled calculation of individually optimized DBS stimulation parameters using a novel inverse solution approach. In the ensuing double-blind, randomized phase incorporating these bespoke parameter sets, DBS led to remission of symptoms and dramatic improvement in quality of life. Results from this initial case demonstrate the feasibility of this personalized platform, which may be used to improve surgical neuromodulation for a vast array of neurologic and psychiatric disorders.","author":[{"family":"Sheth","given":"Sameer A"},{"family":"Bijanki","given":"Kelly R"},{"family":"Metzger","given":"Brian"},{"family":"Allawala","given":"Anusha"},{"family":"Pirtle","given":"Victoria"},{"family":"Adkinson","given":"Joshua A"},{"family":"Myers","given":"John"},{"family":"Mathura","given":"Raissa K"},{"family":"Oswalt","given":"Denise"},{"family":"Tsolaki","given":"Evangelia"},{"family":"Xiao","given":"Jiayang"},{"family":"Noecker","given":"Angela"},{"family":"Strutt","given":"Adriana M"},{"family":"Cohn","given":"Jeffrey F"},{"family":"McIntyre","given":"Cameron C"},{"family":"Mathew","given":"Sanjay J"},{"family":"Borton","given":"David"},{"family":"Goodman","given":"Wayne"},{"family":"Pouratian","given":"Nader"}],"citation":"Sheth, S. A., Bijanki, K. R., Metzger, B., Allawala, A., Pirtle, V., Adkinson, J. A., Myers, J., Mathura, R. K., Oswalt, D., Tsolaki, E., Xiao, J., Noecker, A., Strutt, A. M., Cohn, J. F., McIntyre, C. C., Mathew, S. J., Borton, D., Goodman, W., \u0026 Pouratian, N. (2021). Deep Brain Stimulation for Depression Informed by Intracranial Recordings. Biol. Psychiatry. https://doi.org/10.1016/j.biopsych.2021.11.007","citation-label":"Sheth2021-pl","container-title":"Biol. Psychiatry","id":"Sheth2021-pl","issued":{"date-parts":[[2021,11]]},"keyword":"Deep brain stimulation; Depression; Epilepsy; Network; Neuromodulation; Stereo-EEG","language":"en","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.biopsych.2021.11.007","title":"Deep Brain Stimulation for Depression Informed by Intracranial Recordings","type":"article-journal"},{"DOI":"10.1088/1741-2552/ab2c58","ISSN":"1741-2560, 1741-2552","PMID":"31419211","URL":"http://dx.doi.org/10.1088/1741-2552/ab2c58","_graph":"","abstract":"OBJECTIVE: Here, our objective was to develop a binary decoder to detect task engagement in humans during two distinct, conflict-based behavioral tasks. Effortful, goal-directed decision-making requires the coordinated action of multiple cognitive processes, including attention, working memory and action selection. That type of mental effort is often dysfunctional in mental disorders, e.g. when a patient attempts to overcome a depression or anxiety-driven habit but feels unable. If the onset of engagement in this type of focused mental activity could be reliably detected, decisional function might be augmented, e.g. through neurostimulation. However, there are no known algorithms for detecting task engagement with rapid time resolution. APPROACH: We defined a new network measure, fixed canonical correlation (FCCA), specifically suited for neural decoding applications. We extracted FCCA features from local field potential recordings in human volunteers to give a temporally continuous estimate of mental effort, defined by engagement in experimental conflict tasks. MAIN RESULTS: Using a small number of features per participant, we accurately decoded and distinguished task engagement from other mental activities. Further, the decoder distinguished between engagement in two different conflict-based tasks within seconds of their onset. SIGNIFICANCE: These results demonstrate that network-level brain activity can detect specific types of mental efforts. This could form the basis of a responsive intervention strategy for decision-making deficits.","author":[{"family":"Provenza","given":"Nicole R"},{"family":"Paulk","given":"Angelique C"},{"family":"Peled","given":"Noam"},{"family":"Restrepo","given":"Maria I"},{"family":"Cash","given":"Sydney S"},{"family":"Dougherty","given":"Darin D"},{"family":"Eskandar","given":"Emad N"},{"family":"Borton","given":"David A"},{"family":"Widge","given":"Alik S"}],"citation":"Provenza, N. R., Paulk, A. C., Peled, N., Restrepo, M. I., Cash, S. S., Dougherty, D. D., Eskandar, E. N., Borton, D. A., \u0026 Widge, A. S. (2019). Decoding task engagement from distributed network electrophysiology in humans. J. Neural Eng., 16(5), 056015. https://doi.org/10.1088/1741-2552/ab2c58","citation-label":"Provenza2019-tr","container-title":"J. Neural Eng.","id":"Provenza2019-tr","issue":"5","issued":{"date-parts":[[2019,8]]},"language":"en","page":"056015","pdf":"","pub_url":"http://dx.doi.org/10.1088/1741-2552/ab2c58","title":"Decoding task engagement from distributed network electrophysiology in humans","type":"article-journal","volume":"16"},{"DOI":"10.1016/j.crmeth.2021.100010","ISSN":"2667-2375","PMID":"34532716","URL":"http://dx.doi.org/10.1016/j.crmeth.2021.100010","_graph":"","abstract":"Advances in therapeutic neuromodulation devices have enabled concurrent stimulation and electrophysiology in the central nervous system. However, stimulation artifacts often obscure the sensed underlying neural activity. Here, we develop a method, termed Period-based Artifact Reconstruction and Removal Method (PARRM), to remove stimulation artifacts from neural recordings by leveraging the exact period of stimulation to construct and subtract a high-fidelity template of the artifact. Benchtop saline experiments, computational simulations, five unique in vivo paradigms across animal and human studies, and an obscured movement biomarker are used for validation. Performance is found to exceed that of state-of-the-art filters in recovering complex signals without introducing contamination. PARRM has several advantages: (1) it is superior in signal recovery; (2) it is easily adaptable to several neurostimulation paradigms; and (3) it has low complexity for future on-device implementation. Real-time artifact removal via PARRM will enable unbiased exploration and detection of neural biomarkers to enhance efficacy of closed-loop therapies.","author":[{"family":"Rijn","given":"Evan M","non-dropping-particle":"Dastin-van"},{"family":"Provenza","given":"Nicole R"},{"family":"Calvert","given":"Jonathan S"},{"family":"Gilron","given":"Ro'ee"},{"family":"Allawala","given":"Anusha B"},{"family":"Darie","given":"Radu"},{"family":"Syed","given":"Sohail"},{"family":"Matteson","given":"Evan"},{"family":"Vogt","given":"Gregory S"},{"family":"Avendano-Ortega","given":"Michelle"},{"family":"Vasquez","given":"Ana C"},{"family":"Ramakrishnan","given":"Nithya"},{"family":"Oswalt","given":"Denise N"},{"family":"Bijanki","given":"Kelly R"},{"family":"Wilt","given":"Robert"},{"family":"Starr","given":"Philip A"},{"family":"Sheth","given":"Sameer A"},{"family":"Goodman","given":"Wayne K"},{"family":"Harrison","given":"Matthew T"},{"family":"Borton","given":"David A"}],"citation":"Dastin-van Rijn, E. M., Provenza, N. R., Calvert, J. S., Gilron, R., Allawala, A. B., Darie, R., Syed, S., Matteson, E., Vogt, G. S., Avendano-Ortega, M., Vasquez, A. C., Ramakrishnan, N., Oswalt, D. N., Bijanki, K. R., Wilt, R., Starr, P. A., Sheth, S. A., Goodman, W. K., Harrison, M. T., \u0026 Borton, D. A. (2021). Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method. Cell Rep Methods, 1(2). https://doi.org/10.1016/j.crmeth.2021.100010","citation-label":"Dastin-van_Rijn2021-vy","container-title":"Cell Rep Methods","id":"Dastin-van_Rijn2021-vy","issue":"2","issued":{"date-parts":[[2021,6]]},"language":"en","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.crmeth.2021.100010","title":"Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method","type":"article-journal","volume":"1"},{"DOI":"10.1080/02713683.2016.1270326","ISSN":"0271-3683, 1460-2202","PMID":"28362177","URL":"http://dx.doi.org/10.1080/02713683.2016.1270326","_graph":"","abstract":"PURPOSE: To date, reviews of retinal prostheses have focused primarily on devices undergoing human trials in the Western Hemisphere and fail to capture significant advances in materials and engineering research in countries such as Japan and Korea, as well as projects in early stages of development. To address these gaps, this systematic review examines worldwide advances in retinal prosthetic research, evaluates engineering characteristics and clinical progress of contemporary device initiatives, and identifies potential directions for future research in the field of retinal prosthetics. METHODS: A literature search using PubMed, Google Scholar, and IEEExplore was conducted following the PRISMA Guidelines for Systematic Review. Inclusion criteria were peer-reviewed papers demonstrating progress in human or animal trials and papers discussing the prosthetic engineering design. For each initiative, a description of the device, its engineering considerations, and recent clinical results were provided. RESULTS: Ten prosthetic initiatives met our inclusion criteria and were organized by stimulation location. Of these initiatives, four have recently completed human trials, three are undergoing multi- or single-center human trials, and three are undergoing preclinical animal testing. Only the Argus II (FDA 2013, CE 2011) has obtained FDA approval for use in the United States; the Alpha-IMS (CE 2013) has achieved the highest visual acuity using a Landolt-C test to date and is the only device presently undergoing a multicenter clinical trial. CONCLUSION: Several distinct approaches to retinal stimulation have been successful in eliciting visual precepts in animals and/or humans. However, many clinical needs are still not met and engineering challenges must be addressed before a retinal prosthesis with the capability to fully and safely restore functional vision can be realized.","author":[{"family":"Cheng","given":"Derrick L"},{"family":"Greenberg","given":"Paul B"},{"family":"Borton","given":"David A"}],"citation":"Cheng, D. L., Greenberg, P. B., \u0026 Borton, D. A. (2017). Advances in Retinal Prosthetic Research: A Systematic Review of Engineering and Clinical Characteristics of Current Prosthetic Initiatives. Curr. Eye Res., 42(3), 334–347. https://doi.org/10.1080/02713683.2016.1270326","citation-label":"Cheng2017-ck","container-title":"Curr. Eye Res.","id":"Cheng2017-ck","issue":"3","issued":{"date-parts":[[2017,3]]},"keyword":"Bionic eye; retinal prosthesis; retinitis pigmentosa; visual prosthesis","language":"en","page":"334-347","pdf":"","pub_url":"http://dx.doi.org/10.1080/02713683.2016.1270326","title":"Advances in Retinal Prosthetic Research: A Systematic Review of Engineering and Clinical Characteristics of Current Prosthetic Initiatives","type":"article-journal","volume":"42"},{"DOI":"10.1590/1516-4446-2020-1675","ISSN":"1809-452X, 1516-4446","PMID":"34320125","URL":"http://dx.doi.org/10.1590/1516-4446-2020-1675","_graph":"","abstract":"OBJECTIVE: To improve the ability of psychiatry researchers to build, deploy, maintain, reproduce, and share their own psychophysiological tasks. Psychophysiological tasks are a useful tool for studying human behavior driven by mental processes such as cognitive control, reward evaluation, and learning. Neural mechanisms during behavioral tasks are often studied via simultaneous electrophysiological recordings. Popular online platforms such as Amazon Mechanical Turk (MTurk) and Prolific enable deployment of tasks to numerous participants simultaneously. However, there is currently no task-creation framework available for flexibly deploying tasks both online and during simultaneous electrophysiology. METHODS: We developed a task creation template, termed Honeycomb, that standardizes best practices for building jsPsych-based tasks. Honeycomb offers continuous deployment configurations for seamless transition between use in research settings and at home. Further, we have curated a public library, termed BeeHive, of ready-to-use tasks. RESULTS: We demonstrate the benefits of using Honeycomb tasks with a participant in an ongoing study of deep brain stimulation for obsessive compulsive disorder, who completed repeated tasks both in the clinic and at home. CONCLUSION: Honeycomb enables researchers to deploy tasks online, in clinic, and at home in more ecologically valid environments and during concurrent electrophysiology.","author":[{"family":"Provenza","given":"Nicole R"},{"family":"Gelin","given":"Luiz Fernando Fracassi"},{"family":"Mahaphanit","given":"Wasita"},{"family":"McGrath","given":"Mary C"},{"family":"Rijn","given":"Evan M","non-dropping-particle":"Dastin-van"},{"family":"Fan","given":"Yunshu"},{"family":"Dhar","given":"Rashi"},{"family":"Frank","given":"Michael J"},{"family":"Restrepo","given":"Maria I"},{"family":"Goodman","given":"Wayne K"},{"family":"Borton","given":"David A"}],"citation":"Provenza, N. R., Gelin, L. F. F., Mahaphanit, W., McGrath, M. C., Dastin-van Rijn, E. M., Fan, Y., Dhar, R., Frank, M. J., Restrepo, M. I., Goodman, W. K., \u0026 Borton, D. A. (2021). Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use. Braz J Psychiatry. https://doi.org/10.1590/1516-4446-2020-1675","citation-label":"Provenza2021-pg","container-title":"Braz J Psychiatry","id":"Provenza2021-pg","issued":{"date-parts":[[2021,7]]},"language":"en","pdf":"","pub_url":"http://dx.doi.org/10.1590/1516-4446-2020-1675","title":"Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use","type":"article-journal"},{"DOI":"10.1038/s41598-021-01616-5","ISSN":"2045-2322","PMID":"34785714","URL":"http://dx.doi.org/10.1038/s41598-021-01616-5","_graph":"","abstract":"Three-dimensional (3D) neural microtissues are a powerful in vitro paradigm for studying brain development and disease under controlled conditions, while maintaining many key attributes of the in vivo environment. Here, we used primary cortical microtissues to study the effects of neuroinflammation on neural microcircuits. We demonstrated the use of a genetically encoded calcium indicator combined with a novel live-imaging platform to record spontaneous calcium transients in microtissues from day 14-34 in vitro. We implemented graph theory analysis of calcium activity to characterize underlying functional connectivity and community structure of microcircuits, which are capable of capturing subtle changes in network dynamics during early disease states. We found that microtissues cultured for 34 days displayed functional remodeling of microcircuits and that community structure strengthened over time. Lipopolysaccharide, a neuroinflammatory agent, significantly increased functional connectivity and disrupted community structure 5-9 days after exposure. These microcircuit-level changes have broad implications for the role of neuroinflammation in functional dysregulation of neural networks.","author":[{"family":"Atherton","given":"Elaina"},{"family":"Brown","given":"Sophie"},{"family":"Papiez","given":"Emily"},{"family":"Restrepo","given":"Maria I"},{"family":"Borton","given":"David A"}],"citation":"Atherton, E., Brown, S., Papiez, E., Restrepo, M. I., \u0026 Borton, D. A. (2021). Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues. Sci. Rep., 11(1), 22303. https://doi.org/10.1038/s41598-021-01616-5","citation-label":"Atherton2021-uv","container-title":"Sci. Rep.","id":"Atherton2021-uv","issue":"1","issued":{"date-parts":[[2021,11]]},"language":"en","page":"22303","pdf":"","pub_url":"http://dx.doi.org/10.1038/s41598-021-01616-5","title":"Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues","type":"article-journal","volume":"11"},{"DOI":"10.1016/j.neuroimage.2020.117256","ISSN":"1053-8119, 1095-9572","PMID":"32871260","URL":"http://dx.doi.org/10.1016/j.neuroimage.2020.117256","_graph":"","abstract":"Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar radiculopathy, 20 age and gender matched healthy subjects, and 17 subjects with chronic lumbar pain scheduled to receive an implanted spinal cord stimulator. Analysis of power spectral density, coherence, and phase-amplitude coupling using conventional statistics showed that there were no significant differences between the radiculopathy and control groups after correcting for multiple comparisons. However, analysis of transient spectral events showed that there were differences between these two groups in terms of the number, power, and frequency-span of events in a low gamma band. Finally, we trained a binary support vector machine to classify radiculopathy versus healthy subjects, as well as a 3-way classifier for subjects in the 3 groups. Both classifiers performed significantly better than chance, indicating that EEG features contain relevant information pertaining to sensory states, and may be used to help distinguish between pain states when other clinical signs are inconclusive.","author":[{"family":"Levitt","given":"Joshua"},{"family":"Edhi","given":"Muhammad M"},{"family":"Thorpe","given":"Ryan V"},{"family":"Leung","given":"Jason W"},{"family":"Michishita","given":"Mai"},{"family":"Koyama","given":"Suguru"},{"family":"Yoshikawa","given":"Satoru"},{"family":"Scarfo","given":"Keith A"},{"family":"Carayannopoulos","given":"Alexios G"},{"family":"Gu","given":"Wendy"},{"family":"Srivastava","given":"Kyle H"},{"family":"Clark","given":"Bryan A"},{"family":"Esteller","given":"Rosana"},{"family":"Borton","given":"David A"},{"family":"Jones","given":"Stephanie R"},{"family":"Saab","given":"Carl Y"}],"citation":"Levitt, J., Edhi, M. M., Thorpe, R. V., Leung, J. W., Michishita, M., Koyama, S., Yoshikawa, S., Scarfo, K. A., Carayannopoulos, A. G., Gu, W., Srivastava, K. H., Clark, B. A., Esteller, R., Borton, D. A., Jones, S. R., \u0026 Saab, C. Y. (2020). Pain phenotypes classified by machine learning using electroencephalography features. Neuroimage, 223, 117256. https://doi.org/10.1016/j.neuroimage.2020.117256","citation-label":"Levitt2020-ls","container-title":"Neuroimage","id":"Levitt2020-ls","issued":{"date-parts":[[2020,12]]},"language":"en","page":"117256","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.neuroimage.2020.117256","title":"Pain phenotypes classified by machine learning using electroencephalography features","type":"article-journal","volume":"223"},{"DOI":"10.1109/EMBC46164.2021.9631025","ISSN":"1557-170X","PMID":"34892066","URL":"http://dx.doi.org/10.1109/EMBC46164.2021.9631025","_graph":"","abstract":"Ultrasound imaging can be used to visualize the spinal cord and assess localized cord perfusion. We present in vivo data in an ovine model undergoing spinal cord stimulation and propose development of transcutaneous US imaging as a potential non-invasive imaging modality in spinal cord injury.Clinical Relevance- Ultrasound imaging can be used to aid in prognosis and diagnosis by providing qualitative and quantitative characterization of the spinal cord. This modality can be developed as a low cost, portable, and non-invasive imaging technique in spinal injury patients.","author":[{"family":"Shaaya","given":"Elias"},{"family":"Calvert","given":"Jonathan"},{"family":"Wallace","given":"Kirk"},{"family":"Parker","given":"Samuel"},{"family":"Darie","given":"Radu"},{"family":"Syed","given":"Sohail"},{"family":"Fridley","given":"Jared"},{"family":"Parthasarathy","given":"Gautam"},{"family":"Duclos","given":"Steven"},{"family":"Borton","given":"David A"}],"citation":"Shaaya, E., Calvert, J., Wallace, K., Parker, S., Darie, R., Syed, S., Fridley, J., Parthasarathy, G., Duclos, S., \u0026 Borton, D. A. (2021). Intraoperative Monitoring of Spinal Cord Perfusion using Ultrasound in an Ovine Model. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2021, 3813–3816. https://doi.org/10.1109/EMBC46164.2021.9631025","citation-label":"Shaaya2021-uy","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Shaaya2021-uy","issued":{"date-parts":[[2021,11]]},"language":"en","page":"3813-3816","pdf":"","pub_url":"http://dx.doi.org/10.1109/EMBC46164.2021.9631025","title":"Intraoperative Monitoring of Spinal Cord Perfusion using Ultrasound in an Ovine Model","type":"article-journal","volume":"2021"},{"DOI":"10.1093/neuros/nyab308","ISSN":"0148-396X, 1524-4040","PMID":"34383050","URL":"http://dx.doi.org/10.1093/neuros/nyab308","_graph":"","author":[{"family":"Allawala","given":"Anusha"},{"family":"Bijanki","given":"Kelly R"},{"family":"Goodman","given":"Wayne"},{"family":"Cohn","given":"Jeffrey F"},{"family":"Viswanathan","given":"Ashwin"},{"family":"Yoshor","given":"Daniel"},{"family":"Borton","given":"David A"},{"family":"Pouratian","given":"Nader"},{"family":"Sheth","given":"Sameer A"}],"citation":"Allawala, A., Bijanki, K. R., Goodman, W., Cohn, J. F., Viswanathan, A., Yoshor, D., Borton, D. A., Pouratian, N., \u0026 Sheth, S. A. (2021). In Reply: A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation. Neurosurgery, 89(5), E283. https://doi.org/10.1093/neuros/nyab308","citation-label":"Allawala2021-mx","container-title":"Neurosurgery","id":"Allawala2021-mx","issue":"5","issued":{"date-parts":[[2021,10]]},"language":"en","page":"E283","pdf":"","pub_url":"http://dx.doi.org/10.1093/neuros/nyab308","title":"In Reply: A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation","type":"article-journal","volume":"89"},{"DOI":"10.1093/neuros/nyab112","ISSN":"0148-396X, 1524-4040","PMID":"33913499","URL":"http://dx.doi.org/10.1093/neuros/nyab112","_graph":"","abstract":"Deep brain stimulation (DBS) has emerged as a promising therapy for neuropsychiatric illnesses, including depression and obsessive-compulsive disorder, but has shown inconsistent results in prior clinical trials. We propose a shift away from the empirical paradigm for developing new DBS applications, traditionally based on testing brain targets with conventional stimulation paradigms. Instead, we propose a multimodal approach centered on an individualized intracranial investigation adapted from the epilepsy monitoring experience, which integrates comprehensive behavioral assessment, such as the Research Domain Criteria proposed by the National Institutes of Mental Health. In this paradigm-shifting approach, we combine readouts obtained from neurophysiology, behavioral assessments, and self-report during broad exploration of stimulation parameters and behavioral tasks to inform the selection of ideal DBS parameters. Such an approach not only provides a foundational understanding of dysfunctional circuits underlying symptom domains in neuropsychiatric conditions but also aims to identify generalizable principles that can ultimately enable individualization and optimization of therapy without intracranial monitoring.","author":[{"family":"Allawala","given":"Anusha"},{"family":"Bijanki","given":"Kelly R"},{"family":"Goodman","given":"Wayne"},{"family":"Cohn","given":"Jeffrey F"},{"family":"Viswanathan","given":"Ashwin"},{"family":"Yoshor","given":"Daniel"},{"family":"Borton","given":"David A"},{"family":"Pouratian","given":"Nader"},{"family":"Sheth","given":"Sameer A"}],"citation":"Allawala, A., Bijanki, K. R., Goodman, W., Cohn, J. F., Viswanathan, A., Yoshor, D., Borton, D. A., Pouratian, N., \u0026 Sheth, S. A. (2021). A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation. Neurosurgery, 89(2), E116–E121. https://doi.org/10.1093/neuros/nyab112","citation-label":"Allawala2021-ce","container-title":"Neurosurgery","id":"Allawala2021-ce","issue":"2","issued":{"date-parts":[[2021,7]]},"keyword":"deep brain stimulation; depression; neuromodulation; neuropsychiatry; stereoelectroencephalography","language":"en","page":"E116-E121","pdf":"","pub_url":"http://dx.doi.org/10.1093/neuros/nyab112","title":"A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation","type":"article-journal","volume":"89"},{"DOI":"10.1145/3395035.3425354","PMID":"33937916","URL":"http://dx.doi.org/10.1145/3395035.3425354","_graph":"","abstract":"Continuous deep brain stimulation (DBS) of the ventral striatum (VS) is an effective treatment for severe, treatment-refractory obsessive-compulsive disorder (OCD). Optimal parameter settings are signaled by a mirth response of intense positive affect, which are subjectively identified by clinicians. Subjective judgments are idiosyncratic and difficult to standardize. To objectively measure mirth responses, we used Automatic Facial Affect Recognition (AFAR) in a series of longitudinal assessments of a patient treated with DBS. Pre- and post-adjustment DBS were compared using both statistical and machine learning approaches. Positive affect was significantly higher post-DBS adjustment. Using SVM and XGBoost, participant's pre- and post-adjustment appearances were differentiated with F1 of 0.76, which suggests feasibility of objective measurement of mirth response.","author":[{"family":"Ding","given":"Yaohan"},{"family":"Ertugrul","given":"Itir Onal"},{"family":"Darzi","given":"Ali"},{"family":"Provenza","given":"Nicole"},{"family":"Jeni","given":"László A"},{"family":"Borton","given":"David"},{"family":"Goodman","given":"Wayne"},{"family":"Cohn","given":"Jeffrey"}],"citation":"Ding, Y., Ertugrul, I. O., Darzi, A., Provenza, N., Jeni, L. A., Borton, D., Goodman, W., \u0026 Cohn, J. (2020). Automated Detection of Enhanced DBS Device Settings. Companion Publ 2020 Int Conf Multimodal Interact, 2020, 354–356. https://doi.org/10.1145/3395035.3425354","citation-label":"Ding2020-em","container-title":"Companion Publ 2020 Int Conf Multimodal Interact","id":"Ding2020-em","issued":{"date-parts":[[2020,10]]},"keyword":"DBS; OCD; affective computing; clinical research; ventral striatum","language":"en","page":"354-356","pdf":"","pub_url":"http://dx.doi.org/10.1145/3395035.3425354","title":"Automated Detection of Enhanced DBS Device Settings","type":"article-journal","volume":"2020"},{"DOI":"10.1016/j.tins.2018.07.010","ISSN":"0166-2236, 1878-108X","PMID":"30093073","URL":"http://dx.doi.org/10.1016/j.tins.2018.07.010","_graph":"","abstract":"Artificial restoration of touch is an active area of research in neuroprosthetics. However, most approaches do not consider emulating the biological machinery they intend to replace. Recently, Kim et al. proposed a bioinspired artificial touch transducer that closely mimics the behavior of natural sensory afferents.","author":[{"family":"Black","given":"Christopher"},{"family":"Darie","given":"Radu"},{"family":"Borton","given":"David"}],"citation":"Black, C., Darie, R., \u0026 Borton, D. (2018). Organic Electronics for Artificial Touch. Trends Neurosci., 41(9), 568–570. https://doi.org/10.1016/j.tins.2018.07.010","citation-label":"Black2018-ax","container-title":"Trends Neurosci.","id":"Black2018-ax","issue":"9","issued":{"date-parts":[[2018,9]]},"keyword":"biomimetic; feedback; neuroprosthetics; somatosensation","language":"en","page":"568-570","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.tins.2018.07.010","title":"Organic Electronics for Artificial Touch","type":"article-journal","volume":"41"},{"DOI":"10.1016/j.neuron.2017.02.008","ISSN":"0896-6273, 1097-4199","PMID":"28231460","URL":"http://dx.doi.org/10.1016/j.neuron.2017.02.008","_graph":"","abstract":"Intracortical somatosensory interfaces have now entered the clinical domain. Darie et al. explore the implications of research published in Science Translational Medicine by Flesher et al. (2016), discuss how to design such a system given current technology, and question how to effectively communicate with users about their experience.","author":[{"family":"Darie","given":"Radu"},{"family":"Powell","given":"Marc"},{"family":"Borton","given":"David"}],"citation":"Darie, R., Powell, M., \u0026 Borton, D. (2017). Delivering the Sense of Touch to the Human Brain. Neuron, 93(4), 728–730. https://doi.org/10.1016/j.neuron.2017.02.008","citation-label":"Darie2017-qw","container-title":"Neuron","id":"Darie2017-qw","issue":"4","issued":{"date-parts":[[2017,2]]},"language":"en","page":"728-730","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.neuron.2017.02.008","title":"Delivering the Sense of Touch to the Human Brain","type":"article-journal","volume":"93"},{"DOI":"10.1109/EMBC46164.2021.9629666","ISSN":"2694-0604, 2375-7477","PMID":"34891445","URL":"http://dx.doi.org/10.1109/EMBC46164.2021.9629666","_graph":"","abstract":"Recent advances in implanted device development have enabled chronic streaming of neural data to external devices allowing for long timescale, naturalistic recordings. However, characteristic data losses occur during wireless transmission. Estimates for the duration of these losses are typically uncertain reducing signal quality and impeding analyses. To characterize the effect of these losses on recovery of averaged neural signals, we simulated neural time series data for a typical event-related potential (ERP) experiment. We investigated how the signal duration and the degree of timing uncertainty affected the offset of the ERP, its duration in time, its amplitude, and the ability to resolve small differences corresponding to different task conditions. Simulations showed that long timescale signals were generally robust to the effects of packet losses apart from timing offsets while short timescale signals were significantly delocalized and attenuated. These results provide clarity on the types of signals that can be resolved using these datasets and provide clarity on the restrictions imposed by data losses on typical analyses.","author":[{"family":"Rijn","given":"Evan M","non-dropping-particle":"Dastin-van"},{"family":"Provenza","given":"Nicole R"},{"family":"Harrison","given":"Matthew T"},{"family":"Borton","given":"David A"}],"citation":"Dastin-van Rijn, E. M., Provenza, N. R., Harrison, M. T., \u0026 Borton, D. A. (2021). How do packet losses affect measures of averaged neural signalsƒ. Annu Int Conf IEEE Eng Med Biol Soc, 2021, 941–944. https://doi.org/10.1109/EMBC46164.2021.9629666","citation-label":"Dastin-van_Rijn2021-ni","container-title":"Annu Int Conf IEEE Eng Med Biol Soc","id":"Dastin-van_Rijn2021-ni","issued":{"date-parts":[[2021,11]]},"language":"en","page":"941-944","pdf":"","pub_url":"http://dx.doi.org/10.1109/EMBC46164.2021.9629666","title":"How do packet losses affect measures of averaged neural signalsƒ","type":"article-journal","volume":"2021"},{"DOI":"10.1038/s41587-021-00897-5","ISSN":"1087-0156, 1546-1696","PMID":"33941932","URL":"http://dx.doi.org/10.1038/s41587-021-00897-5","_graph":"","abstract":"Neural recordings using invasive devices in humans can elucidate the circuits underlying brain disorders, but have so far been limited to short recordings from externalized brain leads in a hospital setting or from implanted sensing devices that provide only intermittent, brief streaming of time series data. Here, we report the use of an implantable two-way neural interface for wireless, multichannel streaming of field potentials in five individuals with Parkinson's disease (PD) for up to 15 months after implantation. Bilateral four-channel motor cortex and basal ganglia field potentials streamed at home for over 2,600 h were paired with behavioral data from wearable monitors for the neural decoding of states of inadequate or excessive movement. We validated individual-specific neurophysiological biomarkers during normal daily activities and used those patterns for adaptive deep brain stimulation (DBS). This technological approach may be widely applicable to brain disorders treatable by invasive neuromodulation.","author":[{"family":"Gilron","given":"Ro'ee"},{"family":"Little","given":"Simon"},{"family":"Perrone","given":"Randy"},{"family":"Wilt","given":"Robert"},{"family":"Hemptinne","given":"Coralie","non-dropping-particle":"de"},{"family":"Yaroshinsky","given":"Maria S"},{"family":"Racine","given":"Caroline A"},{"family":"Wang","given":"Sarah S"},{"family":"Ostrem","given":"Jill L"},{"family":"Larson","given":"Paul S"},{"family":"Wang","given":"Doris D"},{"family":"Galifianakis","given":"Nick B"},{"family":"Bledsoe","given":"Ian O"},{"family":"San Luciano","given":"Marta"},{"family":"Dawes","given":"Heather E"},{"family":"Worrell","given":"Gregory A"},{"family":"Kremen","given":"Vaclav"},{"family":"Borton","given":"David A"},{"family":"Denison","given":"Timothy"},{"family":"Starr","given":"Philip A"}],"citation":"Gilron, R., Little, S., Perrone, R., Wilt, R., de Hemptinne, C., Yaroshinsky, M. S., Racine, C. A., Wang, S. S., Ostrem, J. L., Larson, P. S., Wang, D. D., Galifianakis, N. B., Bledsoe, I. O., San Luciano, M., Dawes, H. E., Worrell, G. A., Kremen, V., Borton, D. A., Denison, T., \u0026 Starr, P. A. (2021). Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease. Nat. Biotechnol., 39(9), 1078–1085. https://doi.org/10.1038/s41587-021-00897-5","citation-label":"Gilron2021-ah","container-title":"Nat. Biotechnol.","id":"Gilron2021-ah","issue":"9","issued":{"date-parts":[[2021,9]]},"language":"en","page":"1078-1085","pdf":"","pub_url":"http://dx.doi.org/10.1038/s41587-021-00897-5","publisher":"Springer Science","title":"Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson's disease","type":"article-journal","volume":"39"},{"DOI":"10.1088/1741-2560/10/2/026010","ISSN":"1741-2560, 1741-2552","PMID":"23428937","URL":"http://dx.doi.org/10.1088/1741-2560/10/2/026010","_graph":"","abstract":"OBJECTIVE: Neural interface technology suitable for clinical translation has the potential to significantly impact the lives of amputees, spinal cord injury victims and those living with severe neuromotor disease. Such systems must be chronically safe, durable and effective. APPROACH: We have designed and implemented a neural interface microsystem, housed in a compact, subcutaneous and hermetically sealed titanium enclosure. The implanted device interfaces the brain with a 510k-approved, 100-element silicon-based microelectrode array via a custom hermetic feedthrough design. Full spectrum neural signals were amplified (0.1 Hz to 7.8 kHz, 200\\times gain) and multiplexed by a custom application specific integrated circuit, digitized and then packaged for transmission. The neural data (24 Mbps) were transmitted by a wireless data link carried on a frequency-shift-key-modulated signal at 3.2 and 3.8 GHz to a receiver 1 m away by design as a point-to-point communication link for human clinical use. The system was powered by an embedded medical grade rechargeable Li-ion battery for 7 h continuous operation between recharge via an inductive transcutaneous wireless power link at 2 MHz. MAIN RESULTS: Device verification and early validation were performed in both swine and non-human primate freely-moving animal models and showed that the wireless implant was electrically stable, effective in capturing and delivering broadband neural data, and safe for over one year of testing. In addition, we have used the multichannel data from these mobile animal models to demonstrate the ability to decode neural population dynamics associated with motor activity. SIGNIFICANCE: We have developed an implanted wireless broadband neural recording device evaluated in non-human primate and swine. The use of this new implantable neural interface technology can provide insight into how to advance human neuroprostheses beyond the present early clinical trials. Further, such tools enable mobile patient use, have the potential for wider diagnosis of neurological conditions and will advance brain research.","author":[{"family":"Borton","given":"David A"},{"family":"Yin","given":"Ming"},{"family":"Aceros","given":"Juan"},{"family":"Nurmikko","given":"Arto"}],"citation":"Borton, D. A., Yin, M., Aceros, J., \u0026 Nurmikko, A. (2013). An implantable wireless neural interface for recording cortical circuit dynamics in moving primates. Journal of Neural Engineering, 10(2), 026010. https://doi.org/10.1088/1741-2560/10/2/026010","citation-label":"Borton2013-eo","container-title":"Journal of Neural Engineering","id":"Borton2013-eo","issue":"2","issued":{"date-parts":[[2013,4]]},"keyword":"Algorithms; Amplifiers; Animals; Cerebral Cortex; Cerebral Cortex: physiology; Data Interpretation; Electrodes; Electronic; Electronics; Equipment Design; Hot Temperature; Implanted; Macaca mulatta; Microelectrodes; Nanotechnology; Neural Prostheses; Neurosurgical Procedures; Primates; Radio Waves; Statistical; Swine; Wireless Technology","page":"026010","pdf":"","pub_url":"http://dx.doi.org/10.1088/1741-2560/10/2/026010","title":"An implantable wireless neural interface for recording cortical circuit dynamics in moving primates","type":"article-journal","volume":"10"},{"DOI":"10.1080/15298868.2010.500935","ISSN":"1529-8868","URL":"https://doi.org/10.1080/15298868.2010.500935","_graph":"","abstract":"Previous research has demonstrated that individuals with fragile (defensive, unstable, or contingent) self-esteem are more likely to engage in defensive, self-promoting or self-protective behavior than are individuals with secure high self-esteem. The current study is the first to examine how well all three fragile self-esteem markers predict coping with negative intrusive thoughts following an ego threat. Consistent with the hypothesis, fragile self-esteem was associated with suppressing negative test-related thoughts, punishing the self for experiencing such thoughts, and downplaying the importance of the threat. The results add to the growing body of evidence documenting the maladaptive nature of fragile self-esteem, and suggest a mechanism by which these individuals may be vulnerable to anxiety and depression.","author":[{"family":"Borton","given":"Jennifer L S"},{"family":"Crimmins","given":"Abigail E"},{"family":"Ashby","given":"Rebecca S"},{"family":"Ruddiman","given":"Jessica F"}],"citation":"Borton, J. L. S., Crimmins, A. E., Ashby, R. S., \u0026 Ruddiman, J. F. (2012). How Do Individuals with Fragile High Self-esteem Cope with Intrusive Thoughts Following Ego Threat? Self Identity, 11(1), 16–35. https://doi.org/10.1080/15298868.2010.500935","citation-label":"Borton2012-rh","container-title":"Self Identity","id":"Borton2012-rh","issue":"1","issued":{"date-parts":[[2012,1]]},"page":"16-35","pdf":"","pub_url":"https://doi.org/10.1080/15298868.2010.500935","publisher":"Routledge","title":"How Do Individuals with Fragile High Self-esteem Cope with Intrusive Thoughts Following Ego Threat?","type":"article-journal","volume":"11"},{"DOI":"10.1109/EMBC44109.2020.9175375","ISSN":"1557-170X","PMID":"33018967","URL":"http://dx.doi.org/10.1109/EMBC44109.2020.9175375","_graph":"","abstract":"In vivo fluorescence miniature microscopy has recently proven a major advance, enabling cellular imaging in freely behaving animals. However, fluorescence imaging suffers from autofluorescence, phototoxicity, photobleaching and non- homogeneous illumination artifacts. These factors limit the quality and time course of data collection. Bioluminescence provides an alternative kind of activity-dependent light indicator. Bioluminescent calcium indicators do not require light input, instead generating photons through chemiluminescence. As such, limitations inherent to the requirement for light presentation are eliminated. Further, bioluminescent indicators also do not require excitation light optics: the removal of these components should make a lighter and lower cost microscope with fewer assembly parts. While there has been significant recent progress in making brighter and faster bioluminescence indicators, the advances in imaging hardware have not yet been realized. A hardware challenge is that despite potentially higher signal-to-noise of bioluminescence, the signal strength is lower than that of fluorescence. An open question we address in this report is whether fluorescent miniature microscopes can be rendered sensitive enough to detect bioluminescence. We demonstrate this possibility in vitro and in vivo by implementing optimizations of the UCLA fluorescent miniscope v3.2. These optimizations yielded a miniscope (BLmini) which is 22% lighter in weight, has 45% fewer components, is up to 58% less expensive, offers up to 15 times stronger signal and is sensitive enough to capture spatiotemporal dynamics of bioluminescence in the brain with a signal-to-noise ratio of 34 dB.","author":[{"family":"Celinskis","given":"Dmitrijs"},{"family":"Friedman","given":"Nina"},{"family":"Koksharov","given":"Mikhail"},{"family":"Murphy","given":"Jeremy"},{"family":"Gomez-Ramirez","given":"Manuel"},{"family":"Borton","given":"David"},{"family":"Shaner","given":"Nathan"},{"family":"Hochgeschwender","given":"Ute"},{"family":"Lipscombe","given":"Diane"},{"family":"Moore","given":"Christopher"}],"citation":"Celinskis, D., Friedman, N., Koksharov, M., Murphy, J., Gomez-Ramirez, M., Borton, D., Shaner, N., Hochgeschwender, U., Lipscombe, D., \u0026 Moore, C. (2020). Miniaturized Devices for Bioluminescence Imaging in Freely Behaving Animals. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2020, 4385–4389. https://doi.org/10.1109/EMBC44109.2020.9175375","citation-label":"Celinskis2020-uy","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Celinskis2020-uy","issued":{"date-parts":[[2020,7]]},"language":"en","page":"4385-4389","pdf":"","pub_url":"http://dx.doi.org/10.1109/EMBC44109.2020.9175375","title":"Miniaturized Devices for Bioluminescence Imaging in Freely Behaving Animals","type":"article-journal","volume":"2020"},{"DOI":"10.1038/s41598-020-70028-8","ISSN":"2045-2322","PMID":"32764714","URL":"http://dx.doi.org/10.1038/s41598-020-70028-8","_graph":"","abstract":"There are currently no rapid, operant pain behaviors in rodents that use a self-report to directly engage higher-order brain circuitry. We have developed a pain detection assay consisting of a lick behavior in response to optogenetic activation of predominantly nociceptive peripheral afferent nerve fibers in head-restrained transgenic mice expressing ChR2 in TRPV1 containing neurons. TRPV1-ChR2-EYFP mice (n = 5) were trained to provide lick reports to the detection of light-evoked nociceptive stimulation to the hind paw. Using simultaneous video recording, we demonstrate that the learned lick behavior may prove more pertinent in investigating brain driven pain processes than the reflex behavior. Within sessions, the response bias of transgenic mice changed with respect to lick behavior but not reflex behavior. Furthermore, response similarity between the lick and reflex behaviors diverged near perceptual threshold. Our nociceptive lick-report detection assay will enable a host of investigations into the millisecond, single cell, neural dynamics underlying pain processing in the central nervous system of awake behaving animals.","author":[{"family":"Black","given":"Christopher J"},{"family":"Allawala","given":"Anusha B"},{"family":"Bloye","given":"Kiernan"},{"family":"Vanent","given":"Kevin N"},{"family":"Edhi","given":"Muhammad M"},{"family":"Saab","given":"Carl Y"},{"family":"Borton","given":"David A"}],"citation":"Black, C. J., Allawala, A. B., Bloye, K., Vanent, K. N., Edhi, M. M., Saab, C. Y., \u0026 Borton, D. A. (2020). Automated and rapid self-report of nociception in transgenic mice. Sci. Rep., 10(1), 13215. https://doi.org/10.1038/s41598-020-70028-8","citation-label":"Black2020-bu","container-title":"Sci. Rep.","id":"Black2020-bu","issue":"1","issued":{"date-parts":[[2020,8]]},"language":"en","page":"13215","pdf":"","pub_url":"http://dx.doi.org/10.1038/s41598-020-70028-8","publisher":"Springer Science","title":"Automated and rapid self-report of nociception in transgenic mice","type":"article-journal","volume":"10"},{"DOI":"10.1016/j.biopsych.2020.02.266","ISSN":"0006-3223, 1873-2402","URL":"http://dx.doi.org/10.1016/j.biopsych.2020.02.266","_graph":"","author":[{"family":"Widge","given":"Alik"},{"family":"Provenza","given":"Nicole"},{"family":"Lo","given":"Meng-Chen"},{"family":"Blackwood","given":"Ethan"},{"family":"Schatza","given":"Mark"},{"family":"Olsen","given":"Sarah"},{"family":"Basu","given":"Ishita"},{"family":"Bilge","given":"Mustafa Taha"},{"family":"Dougherty","given":"Darin"},{"family":"Borton","given":"David"}],"citation":"Widge, A., Provenza, N., Lo, M.-C., Blackwood, E., Schatza, M., Olsen, S., Basu, I., Bilge, M. T., Dougherty, D., \u0026 Borton, D. (2020). Controlling brain networks through oscillatory synchrony. Biol. Psychiatry, 87(9), S96. https://doi.org/10.1016/j.biopsych.2020.02.266","citation-label":"Widge2020-xa","container-title":"Biol. Psychiatry","id":"Widge2020-xa","issue":"9","issued":{"date-parts":[[2020,5]]},"language":"en","page":"S96","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.biopsych.2020.02.266","publisher":"Elsevier BV","title":"Controlling brain networks through oscillatory synchrony","type":"article-journal","volume":"87"},{"DOI":"10.1109/ISCA45697.2020.00041","ISBN":"9781728146614","URL":"http://dx.doi.org/10.1109/ISCA45697.2020.00041","_graph":"","abstract":"Brain-computer interfaces (BCIs) offer avenues to treat neurological disorders, shed light on brain function, and interface the brain with the digital world. Their wider adoption rests, however, on achieving adequate real-time performance, meeting stringent power constraints, and adhering to FDA-mandated safety requirements for chronic implantation. BCIs have, to date, been designed as custom ASICs for specific diseases or for specific tasks in specific brain regions. General-purpose architectures that can be used to treat multiple diseases and enable various computational tasks are needed for wider BCI adoption, but the conventional wisdom is that such systems cannot meet necessary performance and power constraints. We present HALO (Hardware Architecture for LOw-power BCIs), a general-purpose architecture for implantable BCIs. HALO enables tasks such as treatment of disorders (e.g., epilepsy, movement disorders), and records/processes data for studies that advance our understanding of the brain. We use electrophysiological data from the motor cortex of a non-human primate to determine how to decompose HALO's computational capabilities into hardware building blocks. We simplify, prune, and share these building blocks to judiciously use available hardware resources while enabling many modes of brain-computer interaction. The result is a configurable heterogeneous array of hardware processing elements (PEs). The PEs are configured by a low-power RISC-V micro-controller into signal processing pipelines that meet the target performance and power constraints necessary to deploy HALO widely and safely.","author":[{"family":"Karageorgos","given":"Ioannis"},{"family":"Sriram","given":"Karthik"},{"family":"Veselý","given":"Ján"},{"family":"Wu","given":"Michael"},{"family":"Powell","given":"Marc"},{"family":"Borton","given":"David"},{"family":"Manohar","given":"Rajit"},{"family":"Bhattacharjee","given":"Abhishek"}],"citation":"Karageorgos, I., Sriram, K., Veselý, J., Wu, M., Powell, M., Borton, D., Manohar, R., \u0026 Bhattacharjee, A. (2020). Hardware-Software Co-Design for Brain-Computer Interfaces. 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 391–404. https://doi.org/10.1109/ISCA45697.2020.00041","citation-label":"Karageorgos2020-nw","container-title":"2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)","id":"Karageorgos2020-nw","issued":{"date-parts":[[2020,5]]},"page":"391-404","pdf":"","pub_url":"http://dx.doi.org/10.1109/ISCA45697.2020.00041","publisher":"IEEE","publisher-place":"Valencia, Spain","title":"Hardware-Software Co-Design for Brain-Computer Interfaces","type":"paper-conference"},{"DOI":"10.1088/1741-2552/abc7f0","ISSN":"1741-2560","PMID":"33152715","URL":"http://dx.doi.org/10.1088/1741-2552/abc7f0","_graph":"","abstract":"Objective.Researchers are developing biomedical devices with embedded closed-loop algorithms for providing advanced adaptive therapies. As these devices become more capable and algorithms become more complex, tasked with integrating and interpreting multi-channel, multi-modal electrophysiological signals, there is a need for flexible bench-top testing and prototyping. We present a methodology for leveraging off-the-shelf audio equipment to construct a biosignal waveform generator capable of streaming pre-recorded biosignals from a host computer. By re-playing known, well-characterized, but physiologically relevant real-world biosignals into a device under test, researchers can evaluate their systems without the need for expensivein vivoexperiments.Approach.An open-source design based on the proposed methodology is described and validated, the NeuroDAC. NeuroDAC allows for 8 independent channels of biosignal playback using a simple, custom designed attenuation and buffering circuit. Applications can communicate with the device over a USB interface using standard audio drivers. On-board analog amplitude adjustment is used to maximize the dynamic range for a given signal and can be independently tuned for each channel.Main results.Low noise component selection yields a no-signal noise floor of just 5.35 \\pm 0.063. NeuroDAC's frequency response is characterized with a high pass -3 dB rolloff at 0.57 Hz, and is capable of accurately reproducing a wide assortment of biosignals ranging from EMG, EEG, and ECG to extracellularly recorded neural activity. We also present an application example using the device to test embedded algorithms on a closed-loop neural modulation device, the Medtronic RC+S.Significance.By making the design of NeuroDAC open-source we aim to present an accessible tool for rapidly prototyping new biomedical devices and algorithms than can be easily modified based on individual testing needs.ClinicalTrials.gov Identifiers: NCT04281134, NCT03437928, NCT03582891.","author":[{"family":"Powell","given":"M P"},{"family":"Anso","given":"J"},{"family":"Gilron","given":"R"},{"family":"Provenza","given":"N R"},{"family":"Allawala","given":"A B"},{"family":"Sliva","given":"D D"},{"family":"Bijanki","given":"K R"},{"family":"Oswalt","given":"D"},{"family":"Adkinson","given":"J"},{"family":"Pouratian","given":"N"},{"family":"Sheth","given":"S A"},{"family":"Goodman","given":"W K"},{"family":"Jones","given":"S R"},{"family":"Starr","given":"P A"},{"family":"Borton","given":"D A"}],"citation":"Powell, M. P., Anso, J., Gilron, R., Provenza, N. R., Allawala, A. B., Sliva, D. D., Bijanki, K. R., Oswalt, D., Adkinson, J., Pouratian, N., Sheth, S. A., Goodman, W. K., Jones, S. R., Starr, P. A., \u0026 Borton, D. A. (2021). NeuroDAC: an open-source arbitrary biosignal waveform generator. J. Neural Eng., 18(1). https://doi.org/10.1088/1741-2552/abc7f0","citation-label":"Powell2021-ha","container-title":"J. Neural Eng.","id":"Powell2021-ha","issue":"1","issued":{"date-parts":[[2021,2]]},"keyword":"biomedical devices; biosignal playback; closed-loop neuromodulation; neural interface; waveform generator","language":"en","pdf":"","pub_url":"http://dx.doi.org/10.1088/1741-2552/abc7f0","title":"NeuroDAC: an open-source arbitrary biosignal waveform generator","type":"article-journal","volume":"18"},{"DOI":"10.1016/j.neuron.2020.10.001","ISSN":"0896-6273, 1097-4199","PMID":"33120024","URL":"http://dx.doi.org/10.1016/j.neuron.2020.10.001","_graph":"","abstract":"Neurotechnological devices are failing to deliver on their therapeutic promise because of the time it takes to translate them from bench to clinic. In this Perspective, we reflect on lessons learned from medical device successes and failures and consider how such lessons might shape a strategic vision for translating neurotechnologies in the future. We articulate how the intentional design and deployment of “scientific platforms,” from the technology stack of hardware and software through the supporting ecosystem, could catalyze a new wave of innovation, discovery, and therapy. We also identify specific actions that could promote future neurotechnology roadmaps and industrial-academic-government collaborative activities. We believe that community-supported neurotechnology platforms will prove to be transformational in accelerating ideas from bench to bedside, maximizing scientific discovery and improving patient care.","author":[{"family":"Borton","given":"David A"},{"family":"Dawes","given":"Heather E"},{"family":"Worrell","given":"Gregory A"},{"family":"Starr","given":"Philip A"},{"family":"Denison","given":"Timothy J"}],"citation":"Borton, D. A., Dawes, H. E., Worrell, G. A., Starr, P. A., \u0026 Denison, T. J. (2020). Developing Collaborative Platforms to Advance Neurotechnology and Its Translation. Neuron, 108(2), 286–301. https://doi.org/10.1016/j.neuron.2020.10.001","citation-label":"Borton2020-ip","container-title":"Neuron","id":"Borton2020-ip","issue":"2","issued":{"date-parts":[[2020,10]]},"language":"en","page":"286-301","pdf":"","pub_url":"http://dx.doi.org/10.1016/j.neuron.2020.10.001","title":"Developing Collaborative Platforms to Advance Neurotechnology and Its Translation","type":"article-journal","volume":"108"},{"DOI":"10.3389/fnins.2019.00152","ISSN":"1662-4548, 1662-453X","PMID":"30890909","URL":"http://dx.doi.org/10.3389/fnins.2019.00152","_graph":"","abstract":"Mental disorders are a leading cause of disability worldwide, and available treatments have limited efficacy for severe cases unresponsive to conventional therapies. Neurosurgical interventions, such as lesioning procedures, have shown success in treating refractory cases of mental illness, but may have irreversible side effects. Neuromodulation therapies, specifically Deep Brain Stimulation (DBS), may offer similar therapeutic benefits using a reversible (explantable) and adjustable platform. Early DBS trials have been promising, however, pivotal clinical trials have failed to date. These failures may be attributed to targeting, patient selection, or the “open-loop” nature of DBS, where stimulation parameters are chosen ad hoc during infrequent visits to the clinician's office that take place weeks to months apart. Further, the tonic continuous stimulation fails to address the dynamic nature of mental illness; symptoms often fluctuate over minutes to days. Additionally, stimulation-based interventions can cause undesirable effects if applied when not needed. A responsive, adaptive DBS (aDBS) system may improve efficacy by titrating stimulation parameters in response to neural signatures (i.e., biomarkers) related to symptoms and side effects. Here, we present rationale for the development of a responsive DBS system for treatment of refractory mental illness, detail a strategic approach for identification of electrophysiological and behavioral biomarkers of mental illness, and discuss opportunities for future technological developments that may harness aDBS to deliver improved therapy.","author":[{"family":"Provenza","given":"Nicole R"},{"family":"Matteson","given":"Evan R"},{"family":"Allawala","given":"Anusha B"},{"family":"Barrios-Anderson","given":"Adriel"},{"family":"Sheth","given":"Sameer A"},{"family":"Viswanathan","given":"Ashwin"},{"family":"McIngvale","given":"Elizabeth"},{"family":"Storch","given":"Eric A"},{"family":"Frank","given":"Michael J"},{"family":"McLaughlin","given":"Nicole C R"},{"family":"Cohn","given":"Jeffrey F"},{"family":"Goodman","given":"Wayne K"},{"family":"Borton","given":"David A"}],"citation":"Provenza, N. R., Matteson, E. R., Allawala, A. B., Barrios-Anderson, A., Sheth, S. A., Viswanathan, A., McIngvale, E., Storch, E. A., Frank, M. J., McLaughlin, N. C. R., Cohn, J. F., Goodman, W. K., \u0026 Borton, D. A. (2019). The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders. Front. Neurosci., 13, 152. https://doi.org/10.3389/fnins.2019.00152","citation-label":"Provenza2019-do","container-title":"Front. Neurosci.","id":"Provenza2019-do","issued":{"date-parts":[[2019,2]]},"keyword":"adaptive deep brain stimulation; biomarkers; mental disorders; obsessive compulsive disorder; responsive neuromodulation","language":"en","page":"152","pdf":"","pub_url":"http://dx.doi.org/10.3389/fnins.2019.00152","title":"The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders","type":"article-journal","volume":"13"},{"URL":"https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10352/103520H/Toward-multi-area-distributed-network-of-implanted-neural-interrogators/10.1117/12.2276046.short?casa_token=oH9eAAAY5ZEAAAAA:dqBZooe8XvTUqsFvZHTU5lrwnfylSpWka9yNfeTIjz6DTqf47SZ5ezPgSmsv5_DSqKHJWMKlCw","_graph":"","abstract":"As we aim to improve our understanding of the brain, it is critical that researchers have simultaneous multi-area, large-scale access to the brain. Information processing in the brain occurs through close and distant coupling of functional sub-domains, as opposed to within …","author":[{"family":"Hou","given":"X"},{"family":"Galligan","given":"C"},{"family":"Ashe","given":"J"},{"family":"Borton","given":"D A"}],"citation":"Hou, X., Galligan, C., Ashe, J., \u0026 Borton, D. A. (2017). Toward multi-area distributed network of implanted neural interrogators. And Nanomedicine X.","citation-label":"Hou2017-wg","container-title":"and Nanomedicine X","id":"Hou2017-wg","issued":{"date-parts":[[2017]]},"pdf":"","pub_url":"https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10352/103520H/Toward-multi-area-distributed-network-of-implanted-neural-interrogators/10.1117/12.2276046.short?casa_token=oH9eAAAY5ZEAAAAA:dqBZooe8XvTUqsFvZHTU5lrwnfylSpWka9yNfeTIjz6DTqf47SZ5ezPgSmsv5_DSqKHJWMKlCw","publisher":"spiedigitallibrary.org","title":"Toward multi-area distributed network of implanted neural interrogators","type":"article-journal"},{"DOI":"10.1126/scitranslmed.3005968","ISSN":"1946-6234, 1946-6242","PMID":"24197737","URL":"http://www.ncbi.nlm.nih.gov/pubmed/24197737","_graph":"","abstract":"Decades of technological developments have populated the field of neuroprosthetics with myriad replacement strategies, neuromodulation therapies, and rehabilitation procedures to improve the quality of life for individuals with neuromotor disorders. Despite the few but impressive clinical successes, and multiple breakthroughs in animal models, neuroprosthetic technologies remain mainly confined to sophisticated laboratory environments. We summarize the core principles and latest achievements in neuroprosthetics, but also address the challenges that lie along the path toward clinical fruition. We propose a pragmatic framework to personalize neurotechnologies and rehabilitation for patient-specific impairments to achieve the timely dissemination of neuroprosthetic medicine.","author":[{"family":"Borton","given":"David"},{"family":"Micera","given":"Silvestro"},{"family":"Millán","given":"José del R"},{"family":"Courtine","given":"Grégoire"}],"citation":"Borton, D., Micera, S., Millán, J. del R., \u0026 Courtine, G. (2013). Personalized neuroprosthetics. Sci. Transl. Med., 5(210), 210rv2. https://doi.org/10.1126/scitranslmed.3005968","citation-label":"Borton2013-ta","container-title":"Sci. Transl. Med.","id":"Borton2013-ta","issue":"210","issued":{"date-parts":[[2013,11]]},"keyword":"Animals; Brain; Brain: pathology; Clinical Trials as Topic; Humans; Individualized Medicine; Neural Prostheses; Regenerative Medicine","page":"210rv2","pdf":"","pub_url":"http://www.ncbi.nlm.nih.gov/pubmed/24197737","title":"Personalized neuroprosthetics","type":"article-journal","volume":"5"},{"DOI":"10.1016/j.neures.2013.10.001","ISSN":"0168-0102, 1872-8111","PMID":"24135130","URL":"http://www.ncbi.nlm.nih.gov/pubmed/24135130","_graph":"","abstract":"In this conceptual review, we highlight our strategy for, and progress in the development of corticospinal neuroprostheses for restoring locomotor functions and promoting neural repair after thoracic spinal cord injury in experimental animal models. We specifically focus on recent developments in recording and stimulating neural interfaces, decoding algorithms, extraction of real-time feedback information, and closed-loop control systems. Each of these complex neurotechnologies plays a significant role for the design of corticospinal neuroprostheses. Even more challenging is the coordinated integration of such multifaceted technologies into effective and practical neuroprosthetic systems to improve movement execution, and augment neural plasticity after injury. In this review we address our progress in rodent animal models to explore the viability of a technology-intensive strategy for recovery and repair of the damaged nervous system. The technical, practical, and regulatory hurdles that lie ahead along the path toward clinical applications are enormous - and their resolution is uncertain at this stage. However, it is imperative that the discoveries and technological developments being made across the field of neuroprosthetics do not stay in the lab, but instead reach clinical fruition at the fastest pace possible.","author":[{"family":"Borton","given":"David"},{"family":"Bonizzato","given":"Marco"},{"family":"Beauparlant","given":"Janine"},{"family":"DiGiovanna","given":"Jack"},{"family":"Moraud","given":"Eduardo M"},{"family":"Wenger","given":"Nikolaus"},{"family":"Musienko","given":"Pavel"},{"family":"Minev","given":"Ivan R"},{"family":"Lacour","given":"Stéphanie P"},{"family":"Millán","given":"José del R"},{"family":"Micera","given":"Silvestro"},{"family":"Courtine","given":"Grégoire"}],"citation":"Borton, D., Bonizzato, M., Beauparlant, J., DiGiovanna, J., Moraud, E. M., Wenger, N., Musienko, P., Minev, I. R., Lacour, S. P., Millán, J. del R., Micera, S., \u0026 Courtine, G. (2014). Corticospinal neuroprostheses to restore locomotion after spinal cord injury. Neurosci. Res., 78, 21–29. https://doi.org/10.1016/j.neures.2013.10.001","citation-label":"Borton2014-gs","container-title":"Neurosci. Res.","id":"Borton2014-gs","issued":{"date-parts":[[2014,1]]},"keyword":"Brain–machine interface; Neuromotor rehabilitation; Neuroprosthetics; Spinal interface","page":"21-29","pdf":"","pub_url":"http://www.ncbi.nlm.nih.gov/pubmed/24135130","title":"Corticospinal neuroprostheses to restore locomotion after spinal cord injury","type":"article-journal","volume":"78"},{"DOI":"10.1109/TNSRE.2009.2029493","URL":"http://dx.doi.org/10.1109/TNSRE.2009.2029493","_graph":"","author":[{"family":"Song","given":"Yoon-Kyu"},{"family":"Borton","given":"David A"},{"family":"Park","given":"Sunmee"},{"family":"Patterson","given":"William R"},{"family":"Bull","given":"Christopher W"},{"family":"Mislow","given":"John M K"},{"family":"Simeral","given":"John"},{"family":"Donoghue","given":"John P"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Song, Y.-K., Borton, D. A., Park, S., Patterson, W. R., Bull, C. W., Mislow, J. M. K., Simeral, J., Donoghue, J. P., \u0026 Nurmikko, A. V. (2008). Microelectronic neurosensor arrays: Towards implantable brain communication interfaces. Electron Devices Meeting, 2008. IEDM 2008. IEEE International, 1–4. https://doi.org/10.1109/TNSRE.2009.2029493","citation-label":"Song2008-ck","container-title":"Electron Devices Meeting, 2008. IEDM 2008. IEEE International","id":"Song2008-ck","issued":{"date-parts":[[2008]]},"page":"1-4","pdf":"","pub_url":"http://dx.doi.org/10.1109/TNSRE.2009.2029493","publisher":"IEEE","title":"Microelectronic neurosensor arrays: Towards implantable brain communication interfaces","type":"paper-conference"},{"DOI":"10.1007/978-3-642-03889-1\\_158","URL":"http://dx.doi.org/10.1007/978-3-642-03889-1_158","_graph":"","abstract":"We report on the performance of a wireless, implantable, neural recording platform. A multitude of neuroengineering challenges exist today in creating practical, chronic multichannel neural recording systems for primate research and human clinical application. Specifically, a) the persistent wired connections limit patient mobility from the recording system, b) the transfer of high bandwidth signals to external (even distant) electronics normally forces premature data reduction, and c) the chronic susceptibility to infection due to the percutaneous nature of the implants all severely hinder the success of neural prosthetic systems. Here we detail a scalable 16-channel microsystem that can employ any of several modalities of power delivery (wire, radio frequency induction, and a photovoltaic energy converter) and data transmission (wire, and transcutaneous infrared laser transmission). Data is reported from a recent sub-chronic ( 30 day) rhesus macaque MI implantation.","author":[{"family":"Borton","given":"D A"},{"family":"Song","given":"Y-K"},{"family":"Patterson","given":"W R"},{"family":"Bull","given":"C W"},{"family":"Park","given":"S"},{"family":"Laiwalla","given":"F"},{"family":"Donoghue","given":"J P"},{"family":"Nurmikko","given":"A V"}],"citation":"Borton, D. A., Song, Y.-K., Patterson, W. R., Bull, C. W., Park, S., Laiwalla, F., Donoghue, J. P., \u0026 Nurmikko, A. V. (2009). Implantable Wireless Cortical Recording Device for Primates. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 588–591. https://doi.org/10.1007/978-3-642-03889-1\\_158","citation-label":"Borton2009-kh","container-title":"World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany","id":"Borton2009-kh","issued":{"date-parts":[[2009]]},"page":"588-591","pdf":"","pub_url":"http://dx.doi.org/10.1007/978-3-642-03889-1_158","publisher":"Springer Berlin Heidelberg","title":"Implantable Wireless Cortical Recording Device for Primates","type":"paper-conference"},{"DOI":"10.1002/9781118678107.ch21","ISBN":"9781118678107, 9781118442166","URL":"https://onlinelibrary.wiley.com/doi/10.1002/9781118678107.ch21","_graph":"","abstract":"Summary This chapter describes how neuroengineers have surmounted many of the challenges to the development of a versatile, implantable, low-power and mobile neural interfaces and to highlight the recent history, current trends, research opportunities, and contemporary challenges in a young, but rapidly-evolving field. Extraordinary microelectronic technologies for acquiring and processing neural data have been developed and deployed in conjunction with percutaneous skull-mounted modules in non-human primates, including relatively compact active neurosensors, powerful digital signal processors, and radiofrequency transmitters. In addition, a new technique of using light to perturb neural state has recently emerged, bringing new technological innovations and challenges. The chapter reports on technological advances that allow the emergence of a truly implantable, chronically usable, and mobile neuroprosthetic system, ultimately enabling the untethering of the locked-in mind. Controlled Vocabulary Terms integrated circuits; neural chips; signal processing system","author":[{"family":"Borton","given":"D A"},{"family":"Nurmikko","given":"A V"}],"citation":"Borton, D. A., \u0026 Nurmikko, A. V. (2013). Wireless, implantable neuroprostheses: Applying advanced technology to untether the mind. In Future Trends in Microelectronics (pp. 286–299). John Wiley \u0026 Sons, Inc. https://doi.org/10.1002/9781118678107.ch21","citation-label":"Borton2013-iv","container-title":"Future Trends in Microelectronics","id":"Borton2013-iv","issued":{"date-parts":[[2013,6]]},"keyword":"brain operate efficiently; microelectronic technologies; multielectrode array; neural activity; voltage controlled oscillator","page":"286-299","pdf":"","pub_url":"https://onlinelibrary.wiley.com/doi/10.1002/9781118678107.ch21","publisher":"John Wiley \u0026 Sons, Inc.","publisher-place":"Hoboken, NJ, USA","title":"Wireless, implantable neuroprostheses: Applying advanced technology to untether the mind","type":"chapter"},{"DOI":"10.3390/s130506014","ISSN":"1424-8220","PMID":"23666130","URL":"http://dx.doi.org/10.3390/s130506014","_graph":"","abstract":"We have developed a prototype cortical neural sensing microsystem for brain implantable neuroengineering applications. Its key feature is that both the transmission of broadband, multichannel neural data and power required for the embedded microelectronics are provided by optical fiber access. The fiber-optic system is aimed at enabling neural recording from rodents and primates by converting cortical signals to a digital stream of infrared light pulses. In the full microsystem whose performance is summarized in this paper, an analog-to-digital converter and a low power digital controller IC have been integrated with a low threshold, semiconductor laser to extract the digitized neural signals optically from the implantable unit. The microsystem also acquires electrical power and synchronization clocks via optical fibers from an external laser by using a highly efficient photovoltaic cell on board. The implantable unit employs a flexible polymer substrate to integrate analog and digital microelectronics and on-chip optoelectronic components, while adapting to the anatomical and physiological constraints of the environment. A low power analog CMOS chip, which includes preamplifier and multiplexing circuitry, is directly flip-chip bonded to the microelectrode array to form the cortical neurosensor device.","author":[{"family":"Park","given":"Sunmee"},{"family":"Borton","given":"David A"},{"family":"Kang","given":"Mingyu"},{"family":"Nurmikko","given":"Arto V"},{"family":"Song","given":"Yoon-Kyu"}],"citation":"Park, S., Borton, D. A., Kang, M., Nurmikko, A. V., \u0026 Song, Y.-K. (2013). An implantable neural sensing microsystem with fiber-optic data transmission and power delivery. Sensors, 13(5), 6014–6031. https://doi.org/10.3390/s130506014","citation-label":"Park2013-ki","container-title":"Sensors","id":"Park2013-ki","issue":"5","issued":{"date-parts":[[2013,5]]},"language":"en","page":"6014-6031","pdf":"","pub_url":"http://dx.doi.org/10.3390/s130506014","title":"An implantable neural sensing microsystem with fiber-optic data transmission and power delivery","type":"article-journal","volume":"13"},{"DOI":"10.1109/EMBC.2012.6346038","ISSN":"1557-170X","PMID":"23365999","URL":"http://www.ncbi.nlm.nih.gov/pubmed/23365999","_graph":"","abstract":"We present polymeric packaging methods used for subcutaneous, fully implantable, broadband, and wireless neurosensors. A new tool for accelerated testing and characterization of biocompatible polymeric packaging materials and processes is described along with specialized test units to simulate our fully implantable neurosensor components, materials and fabrication processes. A brief description of the implantable systems is presented along with their current encapsulation methods based on polydimethylsiloxane (PDMS). Results from in-vivo testing of multiple implanted neurosensors in swine and non-human primates are presented. Finally, a novel augmenting polymer thin film material to complement the currently employed PDMS is introduced. This thin layer coating material is based on the Plasma Enhanced Chemical Vapor Deposition (PECVD) process of Hexamethyldisiloxane (HMDSO) and Oxygen (O(2)).","author":[{"family":"Aceros","given":"Juan"},{"family":"Yin","given":"Ming"},{"family":"Borton","given":"David A"},{"family":"Patterson","given":"William R"},{"family":"Bull","given":"Christopher"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Aceros, J., Yin, M., Borton, D. A., Patterson, W. R., Bull, C., \u0026 Nurmikko, A. V. (2012). Polymeric packaging for fully implantable wireless neural microsensors. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2012, 743–746. https://doi.org/10.1109/EMBC.2012.6346038","citation-label":"Aceros2012-ub","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Aceros2012-ub","issued":{"date-parts":[[2012,1]]},"keyword":"Animals; Biocompatible; Biocompatible Materials; Coated Materials; Electrophysiological Phenomena; Humans; Macaca mulatta; Materials Testing; Neural Prostheses; Prosthesis Design; Remote Sensing Technology; Remote Sensing Technology: instrumentation; Siloxanes; Sus scrofa; Telemetry; Telemetry: instrumentation; Wireless Technology; Wireless Technology: instrumentation","page":"743-746","pdf":"","pub_url":"http://www.ncbi.nlm.nih.gov/pubmed/23365999","title":"Polymeric packaging for fully implantable wireless neural microsensors","type":"article-journal","volume":"2012"},{"DOI":"10.1109/CLEO.2008.4551410","ISBN":"9781557528599","URL":"http://dx.doi.org/10.1109/CLEO.2008.4551410","_graph":"","abstract":"We have developed a prototype cortical neural interface device for brain implantable neuroengineering application, featuring fiber optic guided all optical telemetry for neural data transmission as well as power/clock delivery to the implantable unit.","author":[{"family":"Song","given":"Yoon-Kyu"},{"family":"Patterson","given":"William R"},{"family":"Bull","given":"Christopher W"},{"family":"Borton","given":"David A"},{"family":"Nurmikko","given":"Arto V"},{"family":"Simeral","given":"John D"},{"family":"Donoghue","given":"John P"}],"citation":"Song, Y.-K., Patterson, W. R., Bull, C. W., Borton, D. A., Nurmikko, A. V., Simeral, J. D., \u0026 Donoghue, J. P. (2008). A neural interface microsystem with all optical telemetry for brain implantable neuroengineering application. 2008 Conference on Lasers and Electro-Optics and 2008 Conference on Quantum Electronics and Laser Science, 1–2. https://doi.org/10.1109/CLEO.2008.4551410","citation-label":"Song2008-yu","container-title":"2008 Conference on Lasers and Electro-Optics and 2008 Conference on Quantum Electronics and Laser Science","id":"Song2008-yu","issued":{"date-parts":[[2008,5]]},"keyword":"170.1610; 170.2655; Telemetry; Neural engineering; Optical fibers; Clocks; Vertical cavity surface emitting lasers; Optical sensors; Photovoltaic systems; Solar power generation; Biomedical optical imaging; Optical devices","page":"1-2","pdf":"","pub_url":"http://dx.doi.org/10.1109/CLEO.2008.4551410","publisher":"IEEE","title":"A neural interface microsystem with all optical telemetry for brain implantable neuroengineering application","type":"paper-conference"},{"_graph":"","abstract":"In this paper we present a new type of head-mounted wireless neural recording device in a highly compact package, dedicated for untethered laboratory animal research and designed for future mobile human clinical use. The device, which takes its input from an array of intracortical microelectrode arrays (MEA) has ninety-seven broadband parallel neural recording channels and was integrated on to two custom designed printed circuit boards. These house several low power, custom integrated circuits, including a preamplifier ASIC, a controller ASIC, plus two SAR ADCs, a 3-axis accelerometer, a 48MHz clock source, and a Manchester encoder. Another ultralow power RF chip supports an OOK transmitter with the center frequency tunable from 3GHz to 4GHz, mounted on a separate low loss dielectric board together with a 3V LDO, with output fed to a UWB chip antenna. The IC boards were interconnected and packaged in a polyether ether ketone (PEEK) enclosure which is compatible with both animal and human use (e.g. sterilizable). The entire system consumes 17mA from a 1.2Ahr 3.6V Li-SOCl2 1/2AA battery, which operates the device for more than 2 days. The overall system includes a custom RF receiver electronics which are designed to directly interface with any number of commercial (or custom) neural signal processors for multi-channel broadband neural recording. Bench-top measurements and in vivo testing of the device in rhesus macaques are presented to demonstrate the performance of the wireless neural interface.","author":[{"family":"Yin","given":"Ming"},{"family":"Li","given":"Hao"},{"family":"Bull","given":"Christopher"},{"family":"Borton","given":"David"},{"family":"Aceros","given":"Juan"},{"family":"Larson","given":"Lawrence"},{"family":"Nurmikko","given":"Arto"}],"citation":"Yin, M., Li, H., Bull, C., Borton, D., Aceros, J., Larson, L., \u0026 Nurmikko, A. (2013). An Externally Head-Mounted Wireless Neural Recording Device for Laboratory Animal Research and Possible Human Clinical Use. 35th Annual International Conference of the IEEE EMBS.","citation-label":"Yin2013-ag","container-title":"35th Annual International Conference of the IEEE EMBS","id":"Yin2013-ag","issued":{"date-parts":[[2013]]},"pdf":"","pub_url":"","publisher":"IEEE","publisher-place":"Osaka, Japan","title":"An Externally Head-Mounted Wireless Neural Recording Device for Laboratory Animal Research and Possible Human Clinical Use","type":"paper-conference"},{"DOI":"10.1109/IEMBS.2011.6090579","ISSN":"1557-170X","PMID":"22254801","URL":"http://www.ncbi.nlm.nih.gov/pubmed/22254801","_graph":"","abstract":"We present a fully implantable, wireless, neurosensor for multiple-location neural interface applications. The device integrates two independent 16-channel intracortical microelectrode arrays and can simultaneously acquire 32 channels of broadband neural data from two separate cortical areas. The system-on-chip implantable sensor is built on a flexible Kapton polymer substrate and incorporates three very low power subunits: two cortical subunits connected to a common subcutaneous subunit. Each cortical subunit has an ultra-low power 16-channel preamplifier and multiplexer integrated onto a cortical microelectrode array. The subcutaneous epicranial unit has an inductively coupled power supply, two analog-to-digital converters, a low power digital controller chip, and microlaser-based infrared telemetry. The entire system is soft encapsulated with biocompatible flexible materials for in vivo applications. Broadband neural data is conditioned, amplified, and analog multiplexed by each of the cortical subunits and passed to the subcutaneous component, where it is digitized and combined with synchronization data and wirelessly transmitted transcutaneously using high speed infrared telemetry.","author":[{"family":"Aceros","given":"Juan"},{"family":"Yin","given":"Ming"},{"family":"Borton","given":"David A"},{"family":"Patterson","given":"William R"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Aceros, J., Yin, M., Borton, D. A., Patterson, W. R., \u0026 Nurmikko, A. V. (2011). A 32-channel fully implantable wireless neurosensor for simultaneous recording from two cortical regions. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2011, 2300–2306. https://doi.org/10.1109/IEMBS.2011.6090579","citation-label":"Aceros2011-dk","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Aceros2011-dk","issued":{"date-parts":[[2011,1]]},"keyword":"Animals; Brain Mapping; Brain Mapping: instrumentation; Cerebral Cortex; Cerebral Cortex: physiology; Computer-Assisted; Computer-Assisted: instrumentation; Electrodes; Electroencephalography; Electroencephalography: instrumentation; Equipment Design; Equipment Failure Analysis; Humans; Implanted; Microarray Analysis; Nerve Net; Nerve Net: physiology; Reproducibility of Results; Sensitivity and Specificity; Signal Processing; Telemetry; Telemetry: instrumentation","page":"2300-2306","pdf":"","pub_url":"http://www.ncbi.nlm.nih.gov/pubmed/22254801","title":"A 32-channel fully implantable wireless neurosensor for simultaneous recording from two cortical regions","type":"article-journal","volume":"2011"},{"DOI":"10.1109/IEMBS.2007.4352319","ISBN":"9781424407880","ISSN":"0589-1019","PMID":"18001985","URL":"http://dx.doi.org/10.1109/IEMBS.2007.4352319","_graph":"","abstract":"A prototype cortical neural interface microsystem has been developed for brain implantable neuroengineering applications, featuring hybrid RF (radio-frequency) inductive and IR (infrared) optical telemetries. The system is aimed at neural recording from primates by converting cortical signals to a digital stream of IR light pulses, while acquiring clock signal and electrical power through RF induction. The implantable unit employs a flexible LCP (liquid crystal polymer) substrate for integration of analog, digital, and optoelectronic components, while adapting to the anatomical and physiological constraints of the environment. An ultra-low power analog CMOS chip, which includes preamplifier and multiplexing circuitry, is directly flip-chip bonded to the microelectrode array to form the immediate cortical neuroprobe device. A 16-channel version of the probe has been tested in various in-vivo animal experiments, including measurements of neural activity in somatosensory cortex of a rat.","author":[{"family":"Song","given":"Yoon Kyu"},{"family":"Patterson","given":"William R"},{"family":"Bull","given":"Christopher W"},{"family":"Borton","given":"David A"},{"family":"Li","given":"Yanqiu"},{"family":"Nurmikko","given":"Arto V"},{"family":"Simeral","given":"John D"},{"family":"Donoghue","given":"John P"}],"citation":"Song, Y. K., Patterson, W. R., Bull, C. W., Borton, D. A., Li, Y., Nurmikko, A. V., Simeral, J. D., \u0026 Donoghue, J. P. (2007). A brain implantable microsystem with hybrid RF/IR telemetry for advanced neuroengineering applications. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 445–448. https://doi.org/10.1109/IEMBS.2007.4352319","citation-label":"Song2007-qb","container-title":"Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings","id":"Song2007-qb","issued":{"date-parts":[[2007]]},"page":"445-448","pdf":"","pub_url":"http://dx.doi.org/10.1109/IEMBS.2007.4352319","title":"A brain implantable microsystem with hybrid RF/IR telemetry for advanced neuroengineering applications","type":"paper-conference"},{"DOI":"10.1109/IEMBS.2009.5333189","ISSN":"1557-170X","PMID":"19964128","URL":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=5333189","_graph":"","abstract":"A multitude of neuroengineering challenges exist today in creating practical, chronic multichannel neural recording systems for primate research and human clinical application. Specifically, a) the persistent wired connections limit patient mobility from the recording system, b) the transfer of high bandwidth signals to external (even distant) electronics normally forces premature data reduction, and c) the chronic susceptibility to infection due to the percutaneous nature of the implants all severely hinder the success of neural prosthetic systems. Here we detail one approach to overcome these limitations: an entirely implantable, wirelessly communicating, integrated neural recording microsystem, dubbed the Brain Implantable Chip (BIC).","author":[{"family":"Borton","given":"David A"},{"family":"Song","given":"Yoon-Kyu K"},{"family":"Patterson","given":"William R"},{"family":"Bull","given":"Christopher W"},{"family":"Park","given":"Sunmee"},{"family":"Laiwalla","given":"Farah"},{"family":"Donoghue","given":"John P"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Borton, D. A., Song, Y.-K. K., Patterson, W. R., Bull, C. W., Park, S., Laiwalla, F., Donoghue, J. P., \u0026 Nurmikko, A. V. (2009). Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2009, 5531–5534. https://doi.org/10.1109/IEMBS.2009.5333189","citation-label":"Borton2009-bu","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Borton2009-bu","issued":{"date-parts":[[2009,1]]},"keyword":"Amplifiers; Analog-Digital Conversion; Animals; Computer-Assisted; Computer-Assisted: instrumentation; Electrodes; Electroencephalography; Electroencephalography: instrumentation; Electronic; Equipment Design; Equipment Failure Analysis; Evoked Potentials; Humans; Implanted; Miniaturization; Motor; Motor Cortex; Motor Cortex: physiology; Motor: physiology; Primates; Rats; Reproducibility of Results; Sensitivity and Specificity; Signal Processing; amplifiers; analog digital conversion; animals; computer assisted; computer assisted instrumentat; electrodes; electroencephalography; electroencephalography instrumentation; electronic; equipment design; equipment failure analysis; evoked potentials; humans; implanted; miniaturization; motor; motor cortex; motor cortex physiology; motor physiology; primates; rats; reproducibility results; sensitivity specificity; signal processing","page":"5531-5534","pdf":"","pub_url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=5333189","publisher":"EMBC","publisher-place":"Minneapolis","title":"Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem","type":"article-journal","volume":"2009"},{"DOI":"10.1109/IEMBS.2010.5626296","ISSN":"1557-170X","PMID":"21095989","URL":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=5626296","_graph":"","abstract":"Neural stimulation and recording with high spatiotemporal precision is desirable for studying the real time cellular basis of neural circuits, as well as developing possible therapeutic treatments for neurological diseases. Optical stimulation of genetically targeted neurons expressing the light sensitive ion channel protein Channelrhodopsin (ChR2) and Halorhodopsin (NpHR) has recently been reported as a means for millisecond temporal control of neuronal spiking activity with cell-type selectivity. We combine the new 'optogenetics' approaches with a dual-modality device, which consists of a tapered coaxial optical waveguide (“optrode”) directly integrated into a 36 element intra-cortical multi-electrode recording array (MEA). This novel optoelectronic microarray was cortically implanted in ChR2 transduced behaving rats. We have shown that the idiopathic induced epileptic seizure could be modulated by optical stimulation.","author":[{"family":"Wang","given":"Jing"},{"family":"Borton","given":"David A"},{"family":"Zhang","given":"Jiayi"},{"family":"Burwell","given":"Rebecca D"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Wang, J., Borton, D. A., Zhang, J., Burwell, R. D., \u0026 Nurmikko, A. V. (2010). A neurophotonic device for stimulation and recording of neural microcircuits. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2010, 2935–2938. https://doi.org/10.1109/IEMBS.2010.5626296","citation-label":"Wang2010-xc","container-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc.","id":"Wang2010-xc","issued":{"date-parts":[[2010,1]]},"keyword":"Animal; Animals; Behavior; Electrodes; Electrophysiology; Electrophysiology: instrumentation; Epilepsy; Halorhodopsins; Halorhodopsins: chemistry; Long-Evans; Male; Neurons; Neurons: metabolism; Neurons: pathology; Optics and Photonics; Optics and Photonics: methods; Photic Stimulation; Photic Stimulation: instrumentation; Photons; Rats; Rhodopsin; Rhodopsin: chemistry; Time Factors","page":"2935-2938","pdf":"","pub_url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=5626296","publisher":"IEEE","publisher-place":"Bueno Aires","title":"A neurophotonic device for stimulation and recording of neural microcircuits","type":"article-journal","volume":"2010"},{"DOI":"10.1088/1741-2560/9/1/016001","ISSN":"1741-2560, 1741-2552","PMID":"22156042","URL":"http://www.ncbi.nlm.nih.gov/pubmed/22156042","_graph":"","abstract":"Studying brain function and its local circuit dynamics requires neural interfaces that can record and stimulate the brain with high spatiotemporal resolution. Optogenetics, a technique that genetically targets specific neurons to express light-sensitive channel proteins, provides the capability to control central nervous system neuronal activity in mammals with millisecond time precision. This technique enables precise optical stimulation of neurons and simultaneous monitoring of neural response by electrophysiological means, both in the vicinity of and distant to the stimulation site. We previously demonstrated, in vitro, the dual capability (optical delivery and electrical recording) while testing a novel hybrid device (optrode-MEA), which incorporates a tapered coaxial optical electrode (optrode) and a 100 element microelectrode array (MEA). Here we report a fully chronic implant of a new version of this device in ChR2-expressing rats, and demonstrate its use in freely moving animals over periods up to 8 months. In its present configuration, we show the device delivering optical excitation to a single cortical site while mapping the neural response from the surrounding 30 channels of the 6 \\times 6 element MEA, thereby enabling recording of optically modulated single-unit and local field potential activity across several millimeters of the neocortical landscape.","author":[{"family":"Wang","given":"Jing"},{"family":"Wagner","given":"Fabien"},{"family":"Borton","given":"David a"},{"family":"Zhang","given":"Jiayi"},{"family":"Ozden","given":"Ilker"},{"family":"Burwell","given":"Rebecca D"},{"family":"Nurmikko","given":"Arto V"},{"family":"Wagenen","given":"Rick","non-dropping-particle":"van"},{"family":"Diester","given":"Ilka"},{"family":"Deisseroth","given":"Karl"}],"citation":"Wang, J., Wagner, F., Borton, D. a, Zhang, J., Ozden, I., Burwell, R. D., Nurmikko, A. V., van Wagenen, R., Diester, I., \u0026 Deisseroth, K. (2012). Integrated device for combined optical neuromodulation and electrical recording for chronic in vivo applications. J. Neural Eng., 9(1), 016001. https://doi.org/10.1088/1741-2560/9/1/016001","citation-label":"Wang2012-sd","container-title":"J. Neural Eng.","id":"Wang2012-sd","issue":"1","issued":{"date-parts":[[2012,2]]},"page":"016001","pdf":"","pub_url":"http://www.ncbi.nlm.nih.gov/pubmed/22156042","title":"Integrated device for combined optical neuromodulation and electrical recording for chronic in vivo applications","type":"article-journal","volume":"9"},{"DOI":"10.1109/IEMBS.2011.6090828","ISSN":"1557-170X","PMID":"22254977","URL":"http://www.ncbi.nlm.nih.gov/pubmed/22254977","_graph":"","abstract":"A new model has been established in the domestic pig for neural prosthetic device development and testing. To this end, we report on a complete neural prosthetic developmental system using a wireless sensor as the implant, a pig as the animal model, and a novel data acquisition paradigm for actuator control. A new type of stereotactic frame with clinically-inspired fixations pins that place the pig brain in standard surgical plane was developed and tested with success during the implantation of the microsystem. The microsystem implanted was an ultra-low power (12.5 mW) 16-channel intracortical/epicranial device transmitting broadband (40 kS/s) data over a wireless infrared telemetric link. Pigs were implanted and neural data was collected over a period of 5 weeks, clearly showing single unit spiking activity.","author":[{"family":"Borton","given":"David"},{"family":"Yin","given":"Ming"},{"family":"Aceros","given":"Juan"},{"family":"Agha","given":"Naubahar"},{"family":"Minxha","given":"Juri"},{"family":"Komar","given":"Jacob"},{"family":"Patterson","given":"William"},{"family":"Bull","given":"Christopher"},{"family":"Nurmikko","given":"Arto"}],"citation":"Borton, D., Yin, M., Aceros, J., Agha, N., Minxha, J., Komar, J., Patterson, W., Bull, C., \u0026 Nurmikko, A. (2011). Developing implantable neuroprosthetics: a new model in pig. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., 2011, 3024–3030. https://doi.org/10.1109/IEMBS.2011.6090828","citation-label":"Borton2011-xa","container-title":"34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.","id":"Borton2011-xa","issued":{"date-parts":[[2011,1]]},"keyword":"Animals; Prostheses and Implants; Swine","page":"3024-3030","pdf":"","pub_url":"http://www.ncbi.nlm.nih.gov/pubmed/22254977","title":"Developing implantable neuroprosthetics: a new model in pig","type":"paper-conference","volume":"2011"},{"DOI":"10.1109/TNSRE.2009.2024310","ISSN":"1534-4320, 1558-0210","PMID":"19502132","URL":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=5067358","_graph":"","abstract":"We have built a wireless implantable microelectronic device for transmitting cortical signals transcutaneously. The device is aimed at interfacing a cortical microelectrode array to an external computer for neural control applications. Our implantable microsystem enables 16-channel broadband neural recording in a nonhuman primate brain by converting these signals to a digital stream of infrared light pulses for transmission through the skin. The implantable unit employs a flexible polymer substrate onto which we have integrated ultra-low power amplification with analog multiplexing, an analog-to-digital converter, a low power digital controller chip, and infrared telemetry. The scalable 16-channel microsystem can employ any of several modalities of power supply, including radio frequency by induction, or infrared light via photovoltaic conversion. As of the time of this report, the implant has been tested as a subchronic unit in nonhuman primates ( approximately 1 month), yielding robust spike and broadband neural data on all available channels.","author":[{"family":"Song","given":"Y-K K"},{"family":"Borton","given":"David A"},{"family":"Park","given":"Sunmee"},{"family":"Patterson","given":"William R"},{"family":"Bull","given":"Christopher W"},{"family":"Laiwalla","given":"Farah"},{"family":"Mislow","given":"John"},{"family":"Simeral","given":"John D"},{"family":"Donoghue","given":"John P"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Song, Y.-K. K., Borton, D. A., Park, S., Patterson, W. R., Bull, C. W., Laiwalla, F., Mislow, J., Simeral, J. D., Donoghue, J. P., \u0026 Nurmikko, A. V. (2009). Active microelectronic neurosensor arrays for implantable brain communication interfaces. IEEE Trans. Neural Syst. Rehabil. Eng., 17(4), 339–345. https://doi.org/10.1109/TNSRE.2009.2024310","citation-label":"Song2009-mm","container-title":"IEEE Trans. Neural Syst. Rehabil. Eng.","id":"Song2009-mm","issue":"4","issued":{"date-parts":[[2009,8]]},"keyword":"Action Potentials; Action Potentials: physiology; Amplifiers; Animals; Automated; Automated: methods; Brain; Brain: physiology; Communication Aids for Disabled; Computer-Assisted; Computer-Assisted: instrumentation; Electrodes; Electroencephalography; Electroencephalography: instrumentation; Electronic; Equipment Design; Equipment Failure Analysis; Implanted; Male; Miniaturization; Nerve Net; Nerve Net: physiology; Pattern Recognition; Rats; Reproducibility of Results; Sensitivity and Specificity; Signal Processing; Sprague-Dawley; Telemetry; Telemetry: instrumentation; Transducers; User-Computer Interface","page":"339-345","pdf":"","pub_url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=5067358","publisher":"IEEE","title":"Active microelectronic neurosensor arrays for implantable brain communication interfaces","type":"article-journal","volume":"17"},{"DOI":"10.1109/ISCAS.2012.6271845","ISBN":"9781467302197","ISSN":"1940-9990","PMID":"23853294","URL":"http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6271845","_graph":"","abstract":"A 100-channel fully implantable wireless broadband neural recording system was developed. It features 100 parallel broadband (0.1 Hz-7.8 kHz) neural recording channels, a medical grade 200 mAh Li-ion battery recharged inductively at 150 kHz , and data telemetry using 3.2 GHz to 3.8 GHz FSK modulated wireless link for 48 Mbps Manchester encoded data. All active electronics are hermetically sealed in a titanium enclosure with a sapphire window for electromagnetic transparency. A custom, high-density configuration of 100 individual hermetic feedthrough pins enable connection to an intracortical neural recording microelectrode array. A 100 MHz bandwidth custom receiver was built to remotely receive the FSK signal and achieved -77.7 dBm sensitivity with 10(-8) BER at 48 Mbps data rate. ESD testing on all the electronic inputs and outputs has proven that the implantable device satisfies the HBM Class-1B ESD Standard. In addition, the evaluation of the worst-case charge density delivered to the tissue from each I/O pin verifies the patient safety of the device in the event of failure. Finally, the functionality and reliability of the complete device has been tested on-bench and further validated chronically in ongoing freely moving swine and monkey animal trials for more than one year to date.","author":[{"family":"Yin","given":"Ming"},{"family":"Borton","given":"David A"},{"family":"Aceros","given":"Juan"},{"family":"Patterson","given":"William R"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Yin, M., Borton, D. A., Aceros, J., Patterson, W. R., \u0026 Nurmikko, A. V. (2012). A 100-channel hermetically sealed implantable device for wireless neurosensing applications. 2012 IEEE International Symposium on Circuits and Systems, 7, 2629–2632. https://doi.org/10.1109/ISCAS.2012.6271845","citation-label":"Yin2012-sw","container-title":"2012 IEEE International Symposium on Circuits and Systems","id":"Yin2012-sw","issued":{"date-parts":[[2012,5]]},"keyword":"ESD testing; FSK modulated wireless link; HBM Class-1B ESD standard; Hermetical seal; Manchester encoded data; bandwidth 100 MHz; biological tissues; biomedical telemetry; bit rate 48 Mbit/s; body sensor networks; brain; chronic wireless neurosensing; data telemetry; electromagnetic transparency; electrostatic discharge; error statistics; frequency 0.1 Hz to 7.8 kHz; frequency 150 kHz; frequency shift keying; hermetic seals; hermetically sealed implantable device; implantable device; inductive power; microelectrode array; neural recording; neural recording channels; neurophysiology; prosthetics; receiver; sapphire window; wireless transmission","page":"2629-2632","pdf":"","pub_url":"http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6271845","publisher":"IEEE","title":"A 100-channel hermetically sealed implantable device for wireless neurosensing applications","type":"paper-conference","volume":"7"},{"DOI":"10.1016/j.neuron.2014.11.010","ISSN":"0896-6273, 1097-4199","PMID":"25482026","URL":"http://www.sciencedirect.com/science/article/pii/S0896627314010101","_graph":"","abstract":"Brain recordings in large animal models and humans typically rely on a tethered connection, which has restricted the spectrum of accessible experimental and clinical applications. To overcome this limitation, we have engineered a compact, lightweight, high data rate wireless neurosensor capable of recording the full spectrum of electrophysiological signals from the cortex of mobile subjects. The wireless communication system exploits a spatially distributed network of synchronized receivers that is scalable to hundreds of channels and vast environments. To demonstrate the versatility of our wireless neurosensor, we monitored cortical neuron populations in freely behaving nonhuman primates during natural locomotion and sleep-wake transitions in ecologically equivalent settings. The interface is electrically safe and compatible with the majority of existing neural probes, which may support previously inaccessible experimental and clinical research.","author":[{"family":"Yin","given":"Ming"},{"family":"Borton","given":"David a"},{"family":"Komar","given":"Jacob"},{"family":"Agha","given":"Naubahar"},{"family":"Lu","given":"Yao"},{"family":"Li","given":"Hao"},{"family":"Laurens","given":"Jean"},{"family":"Lang","given":"Yiran"},{"family":"Li","given":"Qin"},{"family":"Bull","given":"Christopher"},{"family":"Larson","given":"Lawrence"},{"family":"Rosler","given":"David"},{"family":"Bezard","given":"Erwan"},{"family":"Courtine","given":"Grégoire"},{"family":"Nurmikko","given":"Arto V"}],"citation":"Yin, M., Borton, D. a, Komar, J., Agha, N., Lu, Y., Li, H., Laurens, J., Lang, Y., Li, Q., Bull, C., Larson, L., Rosler, D., Bezard, E., Courtine, G., \u0026 Nurmikko, A. V. (2014). Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior. Neuron, 84(6), 1170–1182. https://doi.org/10.1016/j.neuron.2014.11.010","citation-label":"Yin2014-rw","container-title":"Neuron","id":"Yin2014-rw","issue":"6","issued":{"date-parts":[[2014]]},"page":"1170-1182","pdf":"","pub_url":"http://www.sciencedirect.com/science/article/pii/S0896627314010101","title":"Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior","type":"article-journal","volume":"84"}]
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