ISSN 0371-0874, CN 31-1352/Q

过刊浏览

抑郁症大学生静息态脑电图脑功能连接特征研究

梁安迪, 张芫, 张越, 纽晓丹, 池爱平*

陕西师范大学体育学院运动干预慢病研究团队,西安 710119

摘要

本文旨在探讨抑郁症大学生基于静息态脑电图(electroencephalogram, EEG)的脑功能网络在一些功能连接上发生的变化,以期观察抑郁发病涉及的脑区以及大脑皮层下神经细胞的电生理活动状况,从而给抑郁症诊断提供额外的信息。根据贝克抑郁量表第二版(Beck Depression Inventory-II, BDI-II)和抑郁自评量表(Self-rating Depression Scale, SDS)筛选出20名具有抑郁症状的女大学生,利用32导的脑电采集系统(Neuroscan)对其在静息状态下的EEG信息进行采集,用MATLAB软件进行EEG数据处理与功能连接分析,随后对所得数据进行Pearson相关分析、相干性分析、相位锁定值分析、相位滞后指数分析以及加权相位滞后分析以构建静息态大脑功能网络。结果显示,与对照组相比,抑郁症组EEG在θ和β频段的相关性显著升高(P < 0.05),在α频段极显著升高(P < 0.01);其中在α和β频段的相干性显著升高(P < 0.05),主要集中在左半球额叶和颞叶区域;在θ、α和β频段的相位同步性显著升高(P < 0.05),在α频段的连接性最为明显,主要集中在前额区和左半球的额区到颞区。相关性分析结果显示,抑郁症组功能连接差异指标(相干性、相位锁定值)与BDI-II得分呈显著正相关,且受试者操作特征(receiver operating characteristics, ROC)曲线显示,这些差异指标的特异性高达85%。以上结果提示,抑郁症大学生的大脑功能异常与其左半球尤其是在额区α频段的功能连接变化相关,本研究结果对今后抑郁症的诊断具有重要意义。


关键词: 抑郁症; 脑电图; 功能连接; 大学生

Study on the EEG functional brain connectivity characteristics of college students with depression

LIANG An-Di, ZHANG Yan, ZHANG Yue, NIU Xiao-Dan, CHI Ai-Ping*

Sports Intervention Chronic Disease Research Team, School of Sports, Shaanxi Normal University, Xi’an 710119, China

Abstract

The aim of the present study was to explore the changes in some functional connectivity in the resting-state electroencephalogram (EEG) based functional brain network of depressed college students, and to understand the brain regions involved in the onset of depression and the electrophysiological activity of subcortical nerve cells, hoping to provide additional information for the diagnosis of depression. Twenty female college students with depressive symptoms were selected according to the Beck Depression Inventory-II (BDI-II) and the Self-rating Depression Scale (SDS). The EEG information of 20 female college students under resting-state was collected by using a 32-conduction EEG acquisition system (Neuroscan). Then Pearson correlation analysis, coherence analysis, phase locking value analysis, phase lag index analysis and weighted phase lag index analysis were used to construct the resting-state brain functional network. The results showed that, compared with the normal group, the depression group exhibited significantly increased correlation in θ and β bands of EEG (P < 0.05), and extremely significantly increased in α band (P < 0.01). Among them, the coherence in α and β bands was significantly increased (P < 0.05), mainly concentrated in the left hemisphere frontal lobe and temporal lobe region. The phase locking value in θ, α and β bands was significantly increased (P < 0.05), mainly concentrated in the prefrontal region and the left hemisphere from the frontal region to the temporal region, and the connectivity in α band was the most obvious. Correlation analysis showed a significant positive correlation between indicators of differential functional connectivity (coherence and phase locking value) and BDI-II scores in the depression group, and the receiver operating characteristics (ROC) curve indicated a high specificity of 85% for the differential indicators. These results suggest that the abnormal brain function of the depressed college students is related to the change of functional connectivity in the left hemisphere, especially α frequency band in the frontal region, which is of great significance for the diagnosis of depression in the future.


Key words: depression; electroencephalogram; functional connectivity; college students

收稿日期:  录用日期:

通讯作者:池爱平  E-mail: chimu@snnu.edu.cn

DOI: 10.13294/j.aps.2022.0063

引用本文:

梁安迪, 张芫, 张越, 纽晓丹, 池爱平. 抑郁症大学生静息态脑电图脑功能连接特征研究[J]. 生理学报 2022; 74 (4): 574-584.

LIANG An-Di, ZHANG Yan, ZHANG Yue, NIU Xiao-Dan, CHI Ai-Ping. Study on the EEG functional brain connectivity characteristics of college students with depression. Acta Physiol Sin 2022; 74 (4): 574-584 (in Chinese with English abstract).