Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study

Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by diverse clinical features. EEG biomarkers such as spectral power and functional connectivity have emerged as potential tools for enhancing early diagnosis and understanding of the neural processes underlying AS...

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Bibliographic Details
Main Authors: Si Yang Ke, Huiwen Wu, Haoqi Sun, Aiqin Zhou, Jianhua Liu, Xiaoyun Zheng, Kevin Liu, M. Brandon Westover, Haiqing Xu, Xue-jun Kong
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Neuroscience
Subjects:
autism spectrum disorder
electroencephalography
machine learning
spectral power
functional connectivity
coherence
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1330556/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1330556/full

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