Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease
Open accessAbstract
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. An implanted device in the brain enables wireless neural monitoring and stimulation for up to 15 months following implantation.
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ECoG and LFPs play an important role in examining motor intention and elucidating the pathogenesis of neurological disorders such as epilepsy and Parkinson's disease.
“As invasive brain monitoring electrodes, ECoG and LFPs play an important role in examining motor intention and elucidating the fundamental pathogenesis of various neurological disorders, such as epilepsy and Parkinson’s disease.[330,331]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [331]
The Introduction describes cortical and subcortical field potentials as probes of neural synchronization, and the Results use those recordings to decode motor states in people with Parkinson’s disease. The paper does not establish that they examine motor intention or elucidate the fundamental pathogenesis of epilepsy; epilepsy is mentioned in the Introduction as a condition treated with implanted stimulation devices. (LLM, conf=0.86)
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Cites
MDS clinical diagnostic criteria for Parkinson’s disease
Postuma, R. B., Berg, D., Stern, M., Poewe, W., Olanow, C. W., Oertel, W., Obeso, J., Marek, K., Litvan, I., Lang, A. E., et al. (2015) · Movement Disorders · doi:10.1002/mds.26424 · Cited by 7,653 · see citing works
Clustering by fast search and find of density peaks
Rodríguez, Á., & Laio, A. (2014) · Science · doi:10.1126/science.1242072 · Cited by 4,963 · see citing works
Systematic review of levodopa dose equivalency reporting in Parkinson's disease
Tomlinson, C. L., Stowe, R. L., Patel, S., Rick, C., Gray, R. G., & Clarke, C. E. (2010) · Movement Disorders · doi:10.1002/mds.23429 · Cited by 4,219 · see citing works
Deep brain stimulation: current challenges and future directions
Lozano, A. M., Lipsman, N., Bergman, H., Brown, P., Chabardès, S., Chang, J. W., Matthews, K., McIntyre, C. C., Schlaepfer, T. E., Schulder, M., et al. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-018-0128-2 · Cited by 1,475 · see citing works
Adaptive deep brain stimulation in advanced Parkinson disease.
Little, S., Pogosyan, A., Neal, S., Zavala, B., Zrinzo, L., Hariz, M., Foltynie, T., Limousin, P., Ashkan, K., FitzGerald, J., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23951 · Cited by 1,374 · see citing works
Self-citationAssessing and tuning brain decoders: Cross-validation, caveats, and guidelines
Varoquaux, G. P., Raamana, P. R., Engemann, D. A., Hoyos-Idrobo, A., Schwartz, Y., & Thirion, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.038 · Cited by 801 · see citing works
Therapeutic deep brain stimulation reduces cortical phase-amplitude coupling in Parkinson's disease
de Hemptinne, C., Swann, N. C., Ostrem, J. L., Ryapolova-Webb, E. S., San Luciano, M., Galifianakis, N. B., & Starr, P. A. (2015) · Nature Neuroscience · doi:10.1038/nn.3997 · Cited by 623 · see citing works
Self-citationFully Implanted Brain–Computer Interface in a Locked-In Patient with ALS
Vansteensel, M. J., Pels, E. G. M., Bleichner, M. G., Branco, M. P., Denison, T., Freudenburg, Z. V., Gosselaar, P., Leinders, S., Ottens, T. H., Van Den Boom, M. A., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1608085 · Cited by 578 · see citing works
Self-citationVoytek, B., & Knight, R. T. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.04.016 · Cited by 556 · see citing works
The cerebral oscillatory network of parkinsonian resting tremor
Timmermann, L., Gross, J., Dirks, M., Volkmann, J., Freund, H.-J., & Schnitzler, A. (2003) · Brain · doi:10.1093/brain/awg022 · Cited by 544 · see citing works
Exaggerated phase–amplitude coupling in the primary motor cortex in Parkinson disease
de Hemptinne, C., Ryapolova-Webb, E. S., Air, E. L., Garcia, P. A., Miller, K. J., Ojemann, J. G., Ostrem, J. L., Galifianakis, N. B., & Starr, P. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214546110 · Cited by 539 · see citing works
Self-citationThe modulatory effect of adaptive deep brain stimulation on beta bursts in Parkinson’s disease
Tinkhauser, G., Pogosyan, A. H., Little, S. J., Beudel, M., Herz, D. M., Tan, H., & Brown, P. (2017) · Brain · doi:10.1093/brain/awx010 · Cited by 456 · see citing works
Self-citationAdaptive deep brain stimulation for Parkinson’s disease using motor cortex sensing
Swann, N. C., de Hemptinne, C., Thompson, M. C., Miocinovic, S., Miller, A. M., Gilron, R., Ostrem, J. L., Chizeck, H. J., & Starr, P. A. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aabc9b · Cited by 391 · see citing works
Self-citationOscillations and the basal ganglia: Motor control and beyond
Brittain, J., & Brown, P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.084 · Cited by 381 · see citing works
Swann, N. C., de Hemptinne, C., Miocinovic, S., Qasim, S. E., Wang, S. S., Ziman, N., Ostrem, J. L., Luciano, M. S., Galifianakis, N. B., & Starr, P. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1128-16.2016 · Cited by 318 · see citing works
Self-citationCortico-cortical coupling in Parkinson's disease and its modulation by therapy
Silberstein, P., Pogosyan, A. H., Kühn, A. A., Hotton, G. R., Tisch, S. H., Kupsch, A. R., Limousin, P. D., Hariz, M. I., & Brown, P. (2005) · Brain · doi:10.1093/brain/awh480 · Cited by 299 · see citing works
Automated Assessment of Bradykinesia and Dyskinesia in Parkinson's Disease
Griffiths, R. I., Kotschet, K. E., Arfon, S., Xu, Z. M., Johnson, W. G., Drago, J., Evans, A. H., Kempster, P. A., Raghav, S., & Horne, M. K. (2012) · Journal of Parkinson s Disease · doi:10.3233/jpd-2012-11071 · Cited by 278 · see citing works
The RNS System: responsive cortical stimulation for the treatment of refractory partial epilepsy
Sun, F. T., & Morrell, M. J. (2014) · Expert Review of Medical Devices · doi:10.1586/17434440.2014.947274 · Cited by 270 · see citing works
Little, S. J., Tripoliti, E., Beudel, M., Pogosyan, A. H., Cagnan, H., Herz, D. M., Bestmann, S., Aziz, T. Z., Cheeran, B., Zrinzo, L. U., et al. (2016) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2016-313518 · Cited by 259 · see citing works
Self-citationDual threshold neural closed loop deep brain stimulation in Parkinson disease patients
Velisar, A., Syrkin‐Nikolau, J., Blumenfeld, Z., et al. (2019) · Brain stimulation · doi:10.1016/j.brs.2019.02.020 · Cited by 255 · see citing works
Nonsinusoidal Beta Oscillations Reflect Cortical Pathophysiology in Parkinson's Disease
Cole, S. R., Peterson, E. J., van der Meij, R., de Hemptinne, C., Starr, P. A., & Voytek, B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2208-16.2017 · Cited by 234 · see citing works
Self-citationBeta oscillations in freely moving Parkinson's subjects are attenuated during deep brain stimulation
Quinn, E. J., Blumenfeld, Z., Velisar, A., Koop, M. M., Shreve, L., Trager, M. H., Hill, B. C., Kilbane, C., Henderson, J. M., & Bronte-Stewart, H. M. (2015) · Movement Disorders · doi:10.1002/mds.26376 · Cited by 227 · see citing works
Stanslaski, S. R., Herron, J. A., Chouinard, T., Bourget, D., Isaacson, B., Křemen, V., Opri, E., Drew, W., Brinkmann, B. H., Gunduz, A., et al. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2880148 · Cited by 192 · see citing works
Self-citationAdaptive Deep Brain Stimulation for Movement Disorders: The Long Road to Clinical Therapy
Meidahl, A. C., Tinkhauser, G., Herz, D. M., Cagnan, H., Debarros, J., & Brown, P. (2017) · Movement Disorders · doi:10.1002/mds.27022 · Cited by 190 · see citing works
Neumann, W., Staub‐Bartelt, F., Horn, A., Schanda, J., Schneider, G., Brown, P., & Kühn, A. A. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.08.028 · Cited by 172 · see citing works
An Amygdala-Hippocampus Subnetwork that Encodes Variation in Human Mood
Kirkby, L. A., Luongo, F. J., Lee, M. B., Nahum, M., Vleet, T. V., Rao, V. R., Dawes, H. E., Chang, E. F., & Sohal, V. S. (2018) · Cell · doi:10.1016/j.cell.2018.10.005 · Cited by 171 · see citing works
Self-citationA chronic generalized bi-directional brain–machine interface
Rouse, A. G., Stanslaski, S. R., Cong, P., Jensen, R. M., Afshar, P., Ullestad, D., Gupta, R., Molnar, G. F., Moran, D. W., & Denison, T. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/3/036018 · Cited by 156 · see citing works
Self-citationBrain penetration effects of microelectrodes and DBS leads in STN or GPi
Mann, J. M., Foote, K. D., GARVAN, C. W., Fernandez, H. H., Jacobson, C. E., Rodriguez, R. L., Haq, I. U., Siddiqui, M. S., Malaty, I. A., Morishita, T., et al. (2009) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2008.159558 · Cited by 147 · see citing works
Swann, N. C., de Hemptinne, C., Miocinovic, S., Qasim, S. E., Ostrem, J. L., Galifianakis, N. B., Luciano, M. S., Wang, S. S., Ziman, N., Taylor, R., et al. (2017) · Journal of neurosurgery · doi:10.3171/2016.11.jns161162 · Cited by 144 · see citing works
Self-citationHerron, J. A., Thompson, M. C., Brown, T., Chizeck, H. J., Ojemann, J. G., & Ko, A. L. (2017) · Journal of Neurosurgery · doi:10.3171/2016.8.jns16536 · Cited by 139 · see citing works
Closed-loop neuromodulation systems: next-generation treatments for psychiatric illness
Lo, M.-C., & Widge, A. S. (2017) · International Review of Psychiatry · doi:10.1080/09540261.2017.1282438 · Cited by 125 · see citing works
Křemen, V., Brinkmann, B. H., Kim, I., Guragain, H., Nasseri, M., Magee, A. L., Attia, T. P., Nejedlý, P., Sladky, V., Nelson, N., et al. (2018) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2018.2869398 · Cited by 124 · see citing works
Self-citationTremor habituation to deep brain stimulation: Underlying mechanisms and solutions
Fasano, A. A., & Helmich, R. C. G. (2019) · Movement Disorders · doi:10.1002/mds.27821 · Cited by 112 · see citing works
Molina, R., Okun, M. S., Shute, J. B., Opri, E., Rossi, P. J., Martínez-Ramírez, D., Foote, K. D., & Gunduz, A. (2017) · Journal of neurosurgery · doi:10.3171/2017.6.jns17626 · Cited by 102 · see citing works
Deep Brain Stimulation for Pain in the Modern Era: A Systematic Review
Frizon, L. A., Yamamoto, E. A., Nagel, S. J., et al. (2019) · Neurosurgery · doi:10.1093/neuros/nyy552 · Cited by 96 · see citing works
Qasim, S. E., de Hemptinne, C., Swann, N. C., Miocinovic, S., Ostrem, J. L., & Starr, P. A. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.11.023 · Cited by 95 · see citing works
Self-citationAn Objective Fluctuation Score for Parkinson's Disease
Horne, M. K., McGregor, S., & Bergquist, F. (2015) · PLOS ONE · doi:10.1371/journal.pone.0124522 · Cited by 88 · see citing works
Syrkin‐Nikolau, J., Koop, M. M., Prieto, T. E., Anidi, C. M., Afzal, M. F., Velisar, A., Blumenfeld, Z., Martin, T., Trager, M. H., & Bronte-Stewart, H. M. (2017) · Neurobiology of Disease · doi:10.1016/j.nbd.2017.09.002 · Cited by 88 · see citing works
An Ambulatory Tremor Score for Parkinson’s Disease
Braybrook, M., O'Connor, S. A., Churchward, P., Perera, T., Farzanehfar, P., & Horne, M. K. (2016) · Journal of Parkinson s Disease · doi:10.3233/jpd-160898 · Cited by 80 · see citing works
Assessing the microlesion effect of subthalamic deep brain stimulation surgery with FDG PET
Pourfar, M., Tang, C., Lin, T. P., et al. (2009) · Journal of neurosurgery · doi:10.3171/2008.12.jns08991 · Cited by 67 · see citing works
Anterior nuclear deep brain stimulation guided by concordant hippocampal recording
Gompel, J. J. V., Klassen, B. T., Worrell, G. A., et al. (2015) · Neurosurgical FOCUS · doi:10.3171/2015.3.focus1541 · Cited by 65 · see citing works
Self-citationPanov, F. E., Levin, E. L., de Hemptinne, C., Swann, N. C., Qasim, S. E., Miocinovic, S., Ostrem, J. L., & Starr, P. A. (2016) · Journal of neurosurgery · doi:10.3171/2015.11.jns151341 · Cited by 63 · see citing works
Self-citationProceedings of the Third International Workshop on Advances in Electrocorticography
Ritaccio, A. L., Beauchamp, M. S., Bosman, C. A., Brunner, P., Chang, E. F., Crone, N. E., Gunduz, A., Gupta, D., Knight, R. T., Leuthardt, E. C., et al. (2012) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.09.016 · Cited by 55 · see citing works
Starr, P. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00619 · Cited by 40 · see citing works
Self-citationMolina, R., Hass, C. J., Sowalsky, K. L., Schmitt, A. C., Opri, E., Roper, J. A., Martínez-Ramírez, D., Hess, C. W., Foote, K. D., Okun, M. S., et al. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00194 · Cited by 29 · see citing works
Bilateral double beta peaks in a PD patient with STN electrodes
Koeglsperger, T., Mehrkens, J. H., & Bötzel, K. (2020) · Acta Neurochirurgica · doi:10.1007/s00701-020-04493-5 · Cited by 21 · see citing works
Wozny, T. A., Lipski, W. J., Alhourani, A., et al. (2017) · Experimental Neurology · doi:10.1016/j.expneurol.2017.05.003 · Cited by 18 · see citing works
Huang, Y., Cheeran, B., Green, A. L., et al. (2019) · Brain Sciences · doi:10.3390/brainsci9070150 · Cited by 17 · see citing works
Graat, I., van Rooijen, G., Mocking, R. J. T., Vulink, N. C. C., de Koning, P. P., Schuurman, R., & Denys, D. A. J. P. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.152 · Cited by 16 · see citing works
Noble, W. H., & Kay, J. C. (1985) · Critical Care Medicine · doi:10.1097/00003246-198505000-00009 · Cited by 5 · see citing works
An epidemiological study on diabetes mellitus in the Iwaki area.
Umemura, S., GOTO, Y., Otaka, T., et al. (1983) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.141.suppl_655 · Cited by 2 · see citing works
Proceedings of the Eighth International Workshop on Advances in Electrocorticography
Ritaccio, A. L., Williams, J. C., Denison, T., Foster, B. L., Starr, P. A., Gunduz, A., Zijlmans, M., & Schalk, G. (2016) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2016.08.020 · Cited by 2 · see citing works
Self-citation
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Research works printed but not linked: 5
- [2]Swann NC Chronic multisite brain recordings from a totally implantable bidirectional neural interface: experience in 5 patients with Parkinson’s disease. Journal of neurosurgery 128, 605– 616 (2018). 28409730 PMC5641233
- [3]Kremen V Integrating Brain Implants With Local and Distributed Computing Devices: A Next Generation Epilepsy Management System. IEEE journal of translational engineering in health and medicine 6, 2500112 (2018). 30310759 PMC6170139
- [4]Stanslaski S A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders. IEEE transactions on biomedical circuits and systems 12, 1230– 1245 (2018). 30418885 PMC6415546
- [7]de Hemptinne C Therapeutic deep brain stimulation reduces cortical phase-amplitude coupling in Parkinson’s disease. Nature neuroscience 18, 779– 786 (2015). 25867121 PMC4414895
- [10]Horne MK, McGregor S & Bergquist F An objective fluctuation score for Parkinson’s disease. PloS one 10, e0124522 (2015). 25928634 PMC4416005
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Provenza, N. R., Reddy, S., Allam, A. K., Rajesh, S. V., Diab, N., Reyes, G., Caston, R. M., Katlowitz, K. A., Gandhi, A. D., Bechtold, R. A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03125-0 · Cited by 68 · see citing works
“…to the design of closed-loop algorithms, the temporally tight neural symptom relationship in Parkinson’s disease has led to the use of very short time constants relating detection of a neural signal (for example, increased beta power in the subthalamic nucleus) and adjustment of DBS settings 41 .”
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- Authors
- 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.
- Affiliations
- University of California, San Francisco (US)
- Mayo Clinic (US)
- Brown University (US)
- University of Oxford (GB)
- Corresponding author
- Gilron, Ro’ee
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2021-05-03
- Volume
- 39
- Issue
- 9
- Pages
- 1078-1085
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC8434942
- OpenAlex
- W3158340479
- Semantic Scholar
- 0a67758c63e99add8f892a48bf918e43a48ea19c
- Cited by
- 343
- References
- 52
- Citations by year
- 2026: 55 · 2025: 69 · 2024: 58 · 2023: 77 · 2022: 49 · 2021: 32 · 2020: 3
- FWCI
- 24.77
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Health & Human Services | National Institutes of Health (UH3NS100544)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- Parkinson's disease, wireless neural recording, implantable neural interfaces, field potentials, motor cortex, basal ganglia, deep brain stimulation, adaptive stimulation, neural decoding, neurophysiological markers, wearable monitors
- MeSH terms
- Wearable Electronic Devices, Adaptation, Physiological, Adult, Female, Humans, Male, Middle Aged, Motor Cortex, Movement, Parkinson Disease, Deep Brain Stimulation, Wireless Technology, Neurophysiological Monitoring
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