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Spatiotemporal dynamics of amygdala during implicit and explicit facial emotional recognition in major depressive disorder: An MEG study

扁桃形结构 心理学 面部表情 情绪识别 认知心理学 动力学(音乐) 认知 面部识别系统 重性抑郁障碍 潜意识 情感表达 面部知觉 面部表情识别 神经科学 识别记忆 发展心理学 面子(社会学概念) 听力学 脑电图
作者
Yishan Du,Yi Xia,Lingling Hua,Mohammad Ridwan Chattun,Zhongpeng Dai,Shui Tian,Wei You,Chen He,Jiayu Liu,Junling Sheng,Cong Pei,Qian Liao,Yinglin Han,Hao Tang,Zhijian Yao,Qing Lü
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:55: e318-e318
标识
DOI:10.1017/s0033291725101888
摘要

BACKGROUND: Major depressive disorder (MDD) patients exhibit a mood-congruent emotional processing bias within the amygdala toward negative facial stimuli at both unconscious and conscious levels. Therefore, our study aimed to investigate the temporal and spatial dynamics of amygdala along with its interactions with the whole brain during implicit and explicit conditions in MDD. METHODS: Thirty MDD patients and 26 healthy controls (HCs) underwent magnetoencephalography (MEG) recordings and performed implicit and explicit emotional face recognition tasks with happy, sad, and neutral facial expressions. Using the amygdala as a seed region, time frequency representations (TFR) and functional connectivity (FC) were calculated. Pearson correlation analyses measured the relationship between TFR and FC values with clinical symptoms. RESULTS: During implicit processing, MDD patients exhibited left amygdala activation in the gamma power (60-70 Hz) before 250 ms in response to sad facial stimuli compared to HCs. In the implicit mode, there were increased FC between the right amygdala and several brain regions in the occipitoparietal lobes, as well as higher FC between the left amygdala and putamen in MDD patients. Additionally, the right amygdala was positively correlated with the severity of depression and anxiety during implicit processing. CONCLUSIONS: MDD patients had lateralized amygdala activation in response to sad facial expressions during unconscious emotional recognition of facial stimuli. Our study provided valuable insights into the spatiotemporal dynamics of facial emotional recognition associated with depressive and anxiety-related cognitive bias during implicit and explicit processing.
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