Supplementary file 1_Brain age prediction model based on electroencephalogram signal and its application in children with autism spectrum disorders.docx

Background<p>There 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.</p>Methods<p>(1) A total of 659 healthy children and 98 ASD patients were retrospective...

Full description

Saved in:

Bibliographic Details
Main Author:	Yi Ju (1544026) (author)
Other Authors:	Tong Zhao (17215) (author), Zaifen Gao (14231306) (author), Wenguang Hu (12329533) (author), Jiejian Luo (21562703) (author), Nian Cheng (5786003) (author), Chunli Liu (459579) (author), Yuwu Jiang (330637) (author), Bo Hong (33605) (author), Taoyun Ji (4860220) (author), Yuxiang Yan (5672945) (author)
Published:	2025
Subjects:	Neurology and Neuromuscular Diseases brain AGE gap estimate (Brain AGE) autism spectrum disorder EEG Gate Recurrent Unit (GRU) neural network approach pediatric
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Supplementary file 1_Brain age prediction model based on electroencephalogram signal and its application in children with autism spectrum disorders.docx

Similar Items