Cross Mutual Information Analysis of EEG Signals for Cognitive Task Discrimination

This study aims to assess Functional Connectivity (FC) using the Cross Mutual Information (CMI) approach between differents brain areas while several patients perform five cognitive tasks. Thus, we used six electrodes of electroencephalograms (EEG) located in different brain areas. A hypothesis Wilcoxon signed-rank test was applied to evaluate the statistical differences for all combinations between cognitive task, electrode pairs, and brain bands which add up to 225 combinations. The results reported statistical difference $$(p < 0.05)$$ for all 225 combinations. Therefore, the proposed approach reported the use of CMI as a feasible tool for analyzing Functional Connectivity (FC) using EEG brain signals for cognitive tasks besides discriminating them.