Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning

Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning

Given a multitude of genetic and environmental factors, when investigating the variability in schizophrenia (SCZ) and the first-degree relatives (R-SCZ), latent disease-specific variation is usually hidden. To reliably investigate the mechanism underlying the brain deficits from the aspect of functi...

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Bibliographic Details
Main Authors: Fali Li, Guangying Wang, Lin Jiang, Dezhong Yao, Peng Xu, Xuntai Ma, Debo Dong, Baoming He
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Brain Research Bulletin
Subjects:
Schizophrenia
Contrastive variational autoencoders
Disease-specific network patterns
Network disconnectivity
Online Access:http://www.sciencedirect.com/science/article/pii/S0361923023001697

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http://www.sciencedirect.com/science/article/pii/S0361923023001697

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