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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

121
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
121

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

Jiannan Kang1, Hongxiang Xie1, Wenqin Mao1

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

Bioengineering (Basel, Switzerland)
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Summary

Autism spectrum disorder (ASD) shows higher brain connectivity diversity in children compared to typically developing peers. Phase lag entropy (PLE) analysis revealed these differences, offering insights into neural mechanisms.

Keywords:
EEGautism spectrum disorder (ASD)connectivity diversityphase lag entropy (PLE)

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Biomedical Engineering

Background:

  • Autism spectrum disorder (ASD) is a neurodevelopmental condition impacting social interaction, communication, and behavior.
  • Previous research indicates altered brain connectivity patterns in children with ASD.
  • Understanding these connectivity differences is crucial for identifying neural mechanisms of ASD.

Purpose of the Study:

  • To investigate the diversity of brain connectivity patterns in children with ASD compared to typically developing children.
  • To introduce and utilize a novel wavelet-based phase lag entropy (PLE) method for analyzing brain connectivity at specific frequency scales.
  • To explore differences in intra- and inter-hemispheric brain connectivity.

Main Methods:

  • Utilized phase lag entropy (PLE), a measure of phase difference variability between time series, to quantify brain connectivity.
  • Developed a novel wavelet-based PLE method to calculate PLE across specific frequency bands (Delta and Alpha).
  • Compared connectivity patterns in children with ASD and typically developing children, examining both within and across hemispheric regions.

Main Results:

  • ASD children exhibited significantly higher diversity of brain connectivity compared to typically developing children.
  • These differences were pronounced in the Delta and Alpha frequency bands.
  • Increased connectivity diversity was observed both within and across hemispheric brain regions in the ASD group.

Conclusions:

  • The findings suggest that altered brain connectivity diversity is a characteristic feature of autism spectrum disorder.
  • The novel wavelet-based PLE method provides a valuable tool for assessing brain connectivity in ASD research.
  • This study offers insights into the neural underpinnings of ASD and potential biomarkers for the condition.