Causal information to characterize the dynamics of EEG during motor type activity

FERNANDO MONTANI; OSVALDO A. ROSSO; ROMAN BARAVALLE

Valdivia

Conferencia; XIX Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics; 2016

Electroencephalograms (EEG) reflect the electrical activity of the brain, which can be considered ruled by a chaotic nonlinear dynamics. In this paper we consider the human EEG recordings during different motor type activities and when imagining that they perform this activity. We characterize the different regions of the cortex according to different motor and imaginative activities by frequency bands, and using the causal plane entropy-complexity H x C, information entropy versus Fisher F x H and the plane complexity- Fisher C x F. This allows us to characterize the dynamics of neuronal activity to the motor and imaginative responses of such activities.