A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography

A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography

Early detection remains a significant challenge for the treatment of depression. In our work, we proposed a novel approach to mild depression recognition using electroencephalography (EEG). First, we explored abnormal organization in the functional connectivity network of mild depression using graph...

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Bibliographic Details
Main Authors: Xiaowei Li, Rong La, Ying Wang, Bin Hu, Xuemin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Neuroscience
Subjects:
EEG
functional connectivity
convolutional neural network
mild depression
classification
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00192/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00192/full

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