Functional connectivity of major depression disorder using ongoing EEG during music perception
Functional connectivity of major depression disorder using ongoing EEG during music perception
复制标题
在音乐感知过程中使用持续脑电图进行重度抑郁症的功能连接
DOI：
10.1016/j.clinph.2020.06.031
复制
发表时间：
2020-10-01
影响因子：
4.7
通讯作者：
Cong, Fengyu
中科院分区：
文献类型：
--
作者：
Liu, Wenya;Zhang, Chi;Cong, Fengyu
Objective: The functional connectivity (FC) of major depression disorder (MDD) has not been well studied under naturalistic and continuous stimuli conditions. In this study, we investigated the frequency-specific FC of MDD patients exposed to conditions of music perception using ongoing electroencephalogram (EEG).Methods: First, we applied the phase lag index (PLI) method to calculate the connectivity matrices and graph theory-based methods to measure the topology of brain networks across different frequency bands. Then, classification methods were adopted to identify the most discriminate frequency band for the diagnosis of MDD.Results: During music perception, MDD patients exhibited a decreased connectivity pattern in the delta band but an increased connectivity pattern in the beta band. Healthy people showed a left hemisphere-dominant phenomenon, but MDD patients did not show such a lateralized effect. Support vector machine (SVM) achieved the best classification performance in the beta frequency band with an accuracy of 89.7%, sensitivity of 89.4% and specificity of 89.9%.Conclusions: MDD patients exhibited an altered FC in delta and beta bands, and the beta band showed a superiority in the diagnosis of MDD.Significance: Our study provided a promising reference for the diagnosis of MDD, and revealed a new perspective for understanding the topology of MDD brain networks during music perception. (C) 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.
