Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis

Autism spectrum disorder (ASD) presents significant challenges in early detection due to its heterogeneous nature and the subtlety of neurophysiological variations. Electroencephalography (EEG) has emerged as a promising tool for ASD diagnosis, offering insights into intricate neurophysiological sig...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 641; p. 130353
Main Authors:	Rasool, Abdur, Aslam, Saba, Xu, Yongjie, Wang, Yishan, Pan, Yi, Chen, Weiyang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 07.08.2025
Subjects:	Autism spectrum disorder Deep learning EEG analysis Fusion model Neurocomputational diagnostics Deep learning Fusion model Neurocomputational diagnostics Autism spectrum disorder EEG analysis
ISSN:	0925-2312
Online Access:	Get full text
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