Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
New insights into human M1 function: Mapping hand representation and visuomotor adaptation Eugene Tunik Physical Therapy, Movement Science, and Rehabilitation, Northeastern University Unit and population recordings in motor cortical neurons of animals have been systematically used since about the 1960’s to understand the basic features of movement that are represented in the motor cortex (M1). This body of work has highlighted the potentially multifaceted role that M1 may play in encoding basic elements of movement, such as movement direction and force, as well as more complex features such as muscle groupings (e.g., synergies) and even learning novel sensorimotor mappings (e.g. adaptation). Analogous approaches to study the physiology of M1 in humans have progressed more slowly. The focus of this talk will be to describe two ongoing tracks of research in my lab that use non-invasive brain stimulation (TMS) as a means of filling this gap in the literature. The first will center on using TMS-based mapping to study the structural synergy representations in M1, and compare these maps to functional synergies that are formed during natural voluntary hand movements. The second will center on using longitudinal assays of motor evoked potentials (elicited by TMS) to determine if changes in M1 excitability track with motor learning, un-learning, and re-learning in two instantiations: gain adaptation and mirror feedback adaptation. Efforts will be made to weave in data describing how some of these explorations have been translated to clinical research.