Baptiste Chemin - PhD student
The goal of my project was to develop an original non-invasive approach to characterise Parkinson’s Disease (PD)-related changes in brain network dynamics. It exploited EEG frequency tagging to investigate the large sensorimotor network underlying our ability to perceive and produce musical rhythms. PD patients show strongly impaired abilities for rhythm perception, rhythm production and beat prediction. This can be explained by the fact that the basal ganglia - a key hub of this network - are critically affected in PD. Characterizing these functional changes could constitute a unique mean to directly measure the consequences of a hub dysfunction on neural network in patients, and the modulation induced by neurorehabilitation strategies such as gait auditory cueing.