Title:
A Systems Neuroscience Approach to Motor Recovery
A Systems Neuroscience Approach to Motor Recovery
| dc.contributor.author | Ganguly, Karunesh | |
| dc.contributor.corporatename | Georgia Institute of Technology. Neural Engineering Center | en_US |
| dc.contributor.corporatename | University of California, San Francisco. Dept. of Neurology | en_US |
| dc.date.accessioned | 2018-02-12T18:57:31Z | |
| dc.date.available | 2018-02-12T18:57:31Z | |
| dc.date.issued | 2018-02-05 | |
| dc.description | Presented on February 5, 2018 at 11:15 a.m. in the Krone Engineered Biosystems Building, Room 1005. | en_US |
| dc.description | Karunesh Ganguly is an Associate Professor of Neurology at the University of California, San Francisco. His research interests include online and offline processing in motor cortex during neuroprosthetic learning, offline processing during natural motor skill acquisition, and cortical basis of recovery after stroke or traumatic brain injury. | en_US |
| dc.description | Runtime: 60:08 minutes | en_US |
| dc.description.abstract | It is commonly hypothesized that restoration of normal neural dynamics in the injured brain can improve function. However, we lack a precise neurophysiological framework for such an approach. Here we show that low-frequency oscillatory (LFO) dynamics play an important role in the execution of skilled behaviors in both the intact and injured brain. We chronically recorded local field potentials and spiking during motor training in both healthy and post-stroke rats. Interestingly, we found that task-related LFOs emerged with skilled performance under both conditions and were a robust predictor of recovery. We further hypothesized that boosting LFOs might improve function in animals with persistent deficits. Strikingly, we found that direct current stimulation could boost LFOs, and when applied in a novel, task-dependent manner, significantly improved function in those with chronic deficits. Together, our results demonstrate that LFOs are essential for skilled controlled and represent a novel target for modulation after injury. | en_US |
| dc.format.extent | 60:07 minutes | |
| dc.identifier.uri | http://hdl.handle.net/1853/59337 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | GT Neuro Seminar Series | |
| dc.subject | Engineering | en_US |
| dc.subject | Motor | en_US |
| dc.subject | Neural | en_US |
| dc.subject | Stroke | en_US |
| dc.title | A Systems Neuroscience Approach to Motor Recovery | en_US |
| dc.type | Moving Image | |
| dc.type.genre | Lecture | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Neural Engineering Center | |
| local.relation.ispartofseries | GT Neuro Seminar Series | |
| relation.isOrgUnitOfPublication | c2e26044-257b-4ef6-8634-100dd836a06c | |
| relation.isSeriesOfPublication | 608bde12-7f29-495f-be22-ac0b124e68c5 |
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