Scalp connectivity networks for analysis of EEG signal during emotional stimulation

In this paper, analysis of correlation based functional connectivity network of electroencephalogram (EEG) signals has been done. Functional connectivity network explores the important facts about activation and synchronization among different areas of brain. Multi-channel EEG signals generated through audio-visual stimulation is used in this study. Correlated electrode pairs show the simultaneous activation of two different brain areas. Correlation strength and degree of each node explore information about involvement of particular brain area during stimulation. From the results, it is evident that on average, male and female brain responses differently for same type of audio-visual stimulation and right hemisphere is mainly involved in emotion generation.