Improving EEG-based Topographic Mapping by Combining Transfer Entropy with Effective Brain Network

Abstract

In recent years there is an increasing interest in analyzing functional connectivity of the brain. In particular, EEG-based effective connectivity can provides directed interaction information of electrical activity between different brain regions. Based on this background, in this paper we proposed an improved EEG-based topographical mapping (iEEG-TM) technique by combining transfer entropy with the analysis method of effective brain network. To test the effectiveness of the proposed mapping strategy, we constructed iEEG-TM by using the data from the different patients with schizophrenia and normal controls. The results showed that the improved EEG-TM method may enhance the visibility of information interaction in different brain regions, and meanwhile has potential in diagnosing disorders in the brain.