Brain age prediction model based on electroencephalogram signal and its application in children with autism spectrum disorders

Brain age prediction model based on electroencephalogram signal and its application in children with autism spectrum disorders

BackgroundThere is a lack of objective biomarkers for brain developmental abnormalities of autism spectrum disorder (ASD). We used EEG and deep learning to conduct a brain aging study in ASD.Methods(1) A total of 659 healthy children and 98 ASD patients were retrospectively recruited. (2) An Auto-EE...

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Bibliographic Details
Main Authors: Yi Ju, Tong Zhao, Zaifen Gao, Wenguang Hu, Jiejian Luo, Nian Cheng, Chunli Liu, Yuwu Jiang, Bo Hong, Taoyun Ji, Yuxiang Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Neurology
Subjects:
brain AGE gap estimate (Brain AGE)
autism spectrum disorder
EEG
Gate Recurrent Unit (GRU) neural network approach
pediatric
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1605291/full
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https://www.frontiersin.org/articles/10.3389/fneur.2025.1605291/full

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