Beta oscillations of the sensorimotor cortex are the hallmark of sensorimotor brain function, reflecting motor abilities and
neurological health. Their characterization usually requires the recording of brain activity using sophisticated and expensive
equipment. Drawing on the results of fundamental research, the present project aims to develop and characterize a method for measuring a
reflection of these oscillations in readily available signals, such as muscle activity or recordings of mechanical hand strength.
He will then assess the method's potential for monitoring Parkinson's disease, and for monitoring rehabilitation and recovery from
stroke. Future applications are also planned in basic research, as well as in the assessment and monitoring of schizophrenia and
autism spectrum disorders.