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Altered beta band spatial-temporal interactions during negative emotional processing in major depressive disorder: An MEG study

海马旁回 心理学 神经科学 重性抑郁障碍 梭状回 脑磁图 神经病理学 舌回 扣带回前部 功能磁共振成像 听力学 认知 医学 脑电图 内科学 颞叶 癫痫 疾病
作者
Yishan Du,Hua Lu,Shui Tian,Zhongpeng Dai,Yi Xia,Suisheng Zhao,Haowen Zou,Xiaoqin Wang,Hao Sun,Hongliang Zhou,Yinghong Huang,Zhijian Yao,Qing Lü
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:338: 254-261
标识
DOI:10.1016/j.jad.2023.06.001
摘要

The mood-concordance bias is a key feature of major depressive disorder (MDD), but the spatiotemporal neural activity associated with emotional processing in MDD remains unclear. Understanding the dysregulated connectivity patterns during emotional processing and their relationship with clinical symptoms could provide insights into MDD neuropathology. We enrolled 108 MDD patients and 64 healthy controls (HCs) who performed an emotion recognition task during magnetoencephalography recording. Network-based statistics (NBS) was used to analyze whole-brain functional connectivity (FC) across different frequency ranges during distinct temporal periods. The relationship between the aberrant FC and affective symptoms was explored. MDD patients exhibited decreased FC strength in the beta band (13–30 Hz) compared to HCs. During the early stage of emotional processing (0-100 ms), reduced FC was observed between the left parahippocampal gyrus and the left cuneus. In the late stage (250-400 ms), aberrant FC was primarily found in the cortex-limbic-striatum systems. Moreover, the FC strength between the right fusiform gyrus and left thalamus, and between the left calcarine fissure and left inferior temporal gyrus were negatively associated with Hamilton Depression Rating Scale (HAMD) scores. Medication information was not involved. MDD patients exhibited abnormal temporal-spatial neural interactions in the beta band, ranging from early sensory to later cognitive processing stages. These aberrant interactions involve the cortex-limbic-striatum circuit. Notably, aberrant FC in may serve as a potential biomarker for assessing depression severity.
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