Resting-state EEG-based convolutional neural network for the diagnosis of depression and its severity

Resting-state EEG-based convolutional neural network for the diagnosis of depression and its severity

Purpose: The study aimed to assess the value of the resting-state electroencephalogram (EEG)-based convolutional neural network (CNN) method for the diagnosis of depression and its severity in order to better serve depressed patients and at-risk populations.Methods: In this study, we used the restin...

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Bibliographic Details
Main Authors: Mengqian Li, Yuan Liu, Yan Liu, Changqin Pu, Ruocheng Yin, Ziqiang Zeng, Libin Deng, Xing Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Physiology
Subjects:
EEG
convolutional neural network
depression
severity
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.956254/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.956254/full

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