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Related Experiment Video

Updated: Jan 29, 2026

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

Alterations in Multidimensional Functional Connectivity Architecture in Preschool Children with Autism Spectrum

Jiannan Kang¹, Xiangyu Zhang¹, Zongbing Xiao¹

¹College of Electronic & Information Engineering, Hebei University, Baoding 071002, China.

|January 28, 2026

Summary

Children with Autism Spectrum Disorder (ASD) show altered brain connectivity, disrupted network topology, and abnormal temporal dynamics, suggesting new biomarkers for neurophysiology.

Keywords:

EEG autism spectrum disorder between-frequency functional network dynamic brain networks graph theory state entropy

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Area of Science:

Neuroscience
Developmental Psychology
Biophysics

Background:

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with unknown causes.
Altered brain functional network connectivity is linked to ASD's clinical features.
Specific patterns and mechanisms of these abnormalities require further investigation.

Purpose of the Study:

To investigate network topology and dynamic transitions in Autism Spectrum Disorder (ASD).
To analyze static and dynamic functional networks across frequency bands.
To explore cross-frequency interactions in children with ASD.

Main Methods:

Recruited 36 children with ASD and 36 typically developing (TD) controls.
Constructed static and dynamic low- and high-order functional networks using resting-state EEG data across four frequency bands (δ, θ, α, β).
Applied graph-theoretical metrics, state entropy, and between-frequency network analysis.

Main Results:

ASD showed altered connectivity across frequency bands in low- and high-order networks.
Pronounced α-band topological disruptions (lower clustering coefficient and efficiency, higher characteristic path length) were observed in ASD.
High-order networks exhibited time- and frequency-specific dynamic abnormalities, with enhanced β-related coupling in low-order networks and widespread reductions in high-order networks.

Conclusions:

Young children with ASD display coexisting hypo- and hyper-connectivity, disrupted network topology, and abnormal temporal dynamics.
Integrating hierarchical, dynamic, and cross-frequency analyses provides novel insights into ASD neurophysiology.
These findings suggest potential biomarkers for ASD.