EEG Connectivity Diversity Differences between Children with Autism and Typically Developing Children: A Comparative Study

Author:

Kang Jiannan1,Xie Hongxiang1,Mao Wenqin1,Wu Juanmei1,Li Xiaoli2ORCID,Geng Xinling3

Affiliation:

1. Child Rehabilitation Division, Ningbo Rehabilitation Hospital, Ningbo 315040, China

2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

3. School of Biomedical Engineering, Capital Medical University, Beijing 100069, China

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction and communication, and repetitive or stereotyped behaviors. Previous studies have reported altered brain connectivity in ASD children compared to typically developing children. In this study, we investigated the diversity of connectivity patterns between children with ASD and typically developing children using phase lag entropy (PLE), a measure of the variability of phase differences between two time series. We also developed a novel wavelet-based PLE method for the calculation of PLE at specific scales. Our findings indicated that the diversity of connectivity in ASD children was higher than that in typically developing children at Delta and Alpha frequency bands, both within brain regions and across hemispheric brain regions. These findings provide insight into the underlying neural mechanisms of ASD and suggest that PLE may be a useful tool for investigating brain connectivity in ASD.

Publisher

MDPI AG

Subject

Bioengineering

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