Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal

Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal

Brain function networks (BFN) are widely used in the diagnosis of electroencephalography (EEG)-based major depressive disorder (MDD). Typically, a BFN is constructed by calculating the functional connectivity (FC) between each pair of channels. However, it ignores high-order relationships (e.g., rel...

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Bibliographic Details
Main Authors: Feng Zhao, Tianyu Gao, Zhi Cao, Xiaobo Chen, Yanyan Mao, Ning Mao, Yande Ren
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
EEG
major depression disorder
brain function networks
matrix variate normal distribution
high-order brain function networks
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2022.1046310/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2022.1046310/full

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