Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG

Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG

BackgroundAccurate classification based on affordable objective neuroimaging biomarkers are important steps toward designing individualized treatment.MethodsIn this work, we investigated a deep learning classification model, multi-scale convolutional recurrent neural network (MCRNN), to explore psyc...

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Bibliographic Details
Main Authors: Weizheng Yan, Linzhen Yu, Dandan Liu, Jing Sui, Vince D. Calhoun, Zheng Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Psychiatry
Subjects:
deep learning
EEG
MCRNN
psychiatric disorder
biomarker
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1202049/full

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https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1202049/full

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