Alterations in hub organization in the white matter structural network in toddlers with autism spectrum disorder: A

Lu Qian1,2,3, Yao Wang1, KangKang Chu1

  • 1Child Mental Health Research Center, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.

Insights

Autism spectrum disorder (ASD) toddlers show stable white matter network hubs with minor differences compared to controls. Hub alterations in specific brain regions correlate with behavioral changes, suggesting potential biomarkers for ASD.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Biomedical Imaging

Background:

  • Longitudinal developmental patterns of white matter (WM) structural network hubs in toddlers with autism spectrum disorder (ASD) are not well understood.
  • Understanding these patterns is crucial for identifying potential biomarkers and therapeutic targets for ASD.

Purpose of the Study:

  • To investigate the longitudinal development of whole-brain WM structural network hubs in toddlers with ASD.
  • To examine alterations in network hubs and their correlation with behavioral data in ASD.

Main Methods:

  • Diffusion tensor imaging (DTI) and deterministic tractography were used to map WM structural networks.
  • Graph-theoretical methods were applied to analyze network hubs at baseline and 2-year follow-up in 37 ASD toddlers and 27 controls (aged 2-3 years).

Main Results:

  • ASD toddlers exhibited relatively stable network hub distributions with minor differences compared to controls over 2 years.
  • 17 hubs were identified in ASD subjects, with 13 unchanged and 4 newly identified from baseline.
  • Alterations in hubs within the right middle frontal gyrus, right insula, left median cingulate gyri, and bilateral precuneus correlated with behavioral data in ASD.

Conclusions:

  • ASD children aged 2-5 years demonstrate relatively stable WM network hub organization with subtle differences.
  • Abnormal developmental patterns in specific brain regions may underlie social and nonsocial behavioral abnormalities in ASD.
  • Findings suggest potential biomarkers for ASD diagnosis and monitoring treatment effects.

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