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.
Sheng Li Xue Bao. 2022 Aug 25;74(4):574-584.
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.
本研究旨在探讨抑郁大学生静息态脑电图(EEG)功能脑网络中一些功能连接的变化,了解抑郁症发病涉及的脑区及皮层下神经细胞的电生理活动,以期为抑郁症的诊断提供更多信息。根据贝克抑郁量表第二版(BDI-II)和自评抑郁量表(SDS)选取20名有抑郁症状的女大学生。采用32导EEG采集系统(Neuroscan)采集20名女大学生静息态下的EEG信息。然后运用Pearson相关分析、相干分析、锁相值分析、相位滞后指数分析和加权相位滞后指数分析构建静息态脑功能网络。结果显示,与正常组相比,抑郁组EEG的θ和β频段相关性显著增加(P<0.05),α频段相关性极显著增加(P<0.01)。其中,α和β频段的相干性显著增加(P<0.05),主要集中在左半球额叶和颞叶区域。θ、α和β频段的锁相值显著增加(P<0.05),主要集中在前额叶区域以及从额叶到颞叶的左半球区域,且α频段的连接性最为明显。相关分析显示,抑郁组中差异功能连接指标(相干性和锁相值)与BDI-II评分之间存在显著正相关,受试者工作特征(ROC)曲线表明差异指标具有8...
5%的高特异性。这些结果表明,抑郁大学生的脑功能异常与左半球功能连接的变化有关,尤其是额叶区域的α频段,这对未来抑郁症的诊断具有重要意义。 (注:原文中“8...”处似乎表述不完整,翻译时保留了原文的样子。)