Depressive States in Healthy Subjects Lead to Biased Processing: A Behavior and ERPs Study during Visual Stimulation

カテゴリ: 部門大会

論文No: SS2-4

グループ名: 【C】2022年電気学会電子・情報・システム部門大会

発行日: 2022/08/24

タイトル(英語): Depressive States in Healthy Subjects Lead to Biased Processing: A Behavior and ERPs Study during Visual Stimulation

著者名: Li Pengcheng（東京工業大学）,横山 実桜（東京工業大学）,岡本 大輝（東海大学）,中谷 裕教（東海大学）,八木 透（東京工業大学）

著者名(英語): Pengcheng Li (Tokyo Institute of Technology),Mio Yokoyama (Tokyo Institute of Technology),Daiki Okamoto (Tokai University),Hironori Nakatani (Tokai University),Tohru Yagi (Tokyo Institute of Technology)

キーワード: attention|biased processing|depressive state|electroencephalography (EEG)|event-related potentials (ERPs)

要約(日本語): According to Beck's cognitive model of depression, Major Depressive Disorder (MDD) has an effect on schema which leads to distorted perceptions. Depressive states and MDD are considered to occur on a continuum, and there are not only qualitative but also quantitative differences between them. However, it remains unclear whether there are significant differences in information processing among healthy individuals. In this study, we investigate the Event Related Potentials (ERPs) and behavior of healthy subjects with various depressive states during emotional stimuli. We have found that subjects with high depressive states have slower reaction time and lower P300 amplitude. Besides, we have found latency between frontal and parietal lobe, which might support the top-down visual mechanism.