The Relationship between EEG and Depression under Induced Emotions Using VR Scenes

Abstract

This study attempts to establish a relationship between EEG signals and depression under induced emotions using VR. The VR scenes were obtained from third party sources as a trigger. Due to the immersion and visualization of the whole environment, it makes this method different and in some case superior to the traditional music or video simulations. In this study, EEG signals of 463 participants were recorded as each watched two VR scenes chosen from our VR database with two 60s resting state before each scene. The results demonstrated that the power of alpha frequency band is related to depression and beta frequency band of high risking depression group is higher than the no depression group. The feedback will be future used in the next stage of machine learning of detecting depressive group.