Brain network analysis of hand motor execution and imagination based on Granger causality

Abstract

This paper around the EEG in sports and exercise, the more fine hand movements are discussed in this paper, based on EGI EEG acquisition system of complex gestures movement execution and thought experiments, using independent component analysis (ICA) to remove eye electric artifact, the cut data are divided into the two parts of movement and imagination, and 60 trials superposition average, using the method of Granger causality analysis (GCM) are analyzed in the movement of the beta band performing and imagine premotor, motor area and hat with lobular effective connectivity, It was found that the connection network of hand motor execution was more complex than that of hand motor imagination and the strength of the connection performed by hand motor execution was greater than that imagined by hand motor imagination.