Correlations of Motor Adaptation Learning and Modulation of Resting-state Sensorimotor Eeg Activity

There exists a variety of electroencephalogram (EEG) based brain-computer interface (BCI) assisted stroke rehabilitation protocols which exploit the recognized nature of sensorimotor rhythms (SMRs) during motor movements. For novel approaches independent of motor execution, we investigate the changes in resting-state sensorimotor EEG with motor learning, resembling the process of post-stroke recovery. In contrast to the neuroimaging studies based on visuomotor tasks, we study motor learning during an actual physical motor adaptation learning experiment. Based on analysis of EEG data collected throughout a force-field adaptation task, we observed a spectral power increase of resting SMRs across subjects. The modulation across restingstates in an early adaptation phase of the motor task was further shown to predict individual motor adaptation performance measures.