Recently, research using deep learning has been conducted in various fields. Along with that, research on network visualization methods learned by deep learning has been actively conducted. On the other hand, relation between subjective state and electroencephalogram (EEG) has been clarified in psychophysiological field. In this research, we apply the visualization method developed in the image field to the analysis of EEG. Using this method, we examine whether we can abstract physiologically reasonable structure of brain activity from network visualized image.