Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression

Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression

Resting-state electroencephalography (EEG) studies have shown significant group differences in functional connectivity networks between patients with depression and healthy controls. The present study aims to identify the altered EEG resting-state functional connectivity patterns of depressed patien...

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Bibliographic Details
Main Authors: Hong Peng, Chen Xia, Zihan Wang, Jing Zhu, Xin Zhang, Shuting Sun, Jianxiu Li, Xiaoning Huo, Xiaowei Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Depression
EEG
functional connectivity
multivariate pattern analysis
resting-state
Online Access:https://ieeexplore.ieee.org/document/8756209/

Internet

https://ieeexplore.ieee.org/document/8756209/

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