Cortical Reorganization after Stroke: Novel Insights from Neuroimaging and Non-Invasive Brain Stimulation
Christian Grefkes, MD
Department of Neurology, University of Cologne, Germany
Institute of Neurosciences and Medicine (INM3), Juelich Research Center, Germany
Professor Christian Grefkes will present data on the combined use of functional neuroimaging and non-invasive brain stimulation methods to assess activity and connectivity changes of motor brain regions in acute, subacute and chronic stroke patients. By using models of effective connectivity, he will show how abnormal connectivity develops and also changes during the course of the disease, revealing both supportive and disturbing influences on the kinematics of simple and complex hand movements.
Machine learning algorithms can help to identify critical nodes for motor performance and recovery.
These data are supplemented by TMS data obtained during performance of various motor tasks ("online TMS interferences ") or before a motor training is performed ("offline TMS"), showing that non-invasive brain stimulation can correct pathological network configurations underlying impaired motor performance. These experimental findings have already led to randomized clinical trials (RCT) aiming at implementing these techniques into clinical practice. The talk will also highlight important caveats and limitations of current models, and finally close with possible solutions and future
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