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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Autism Spectrum Disorder Research

Background:

  • Autism spectrum disorder (ASD) presents a paradox: co-occurring deficits in sensory processing and higher-order socio-cognitive functions.
  • Existing research often examines these deficits in isolation, lacking a unifying framework to explain their simultaneous presence.

Purpose of the Study:

  • To investigate if a system-level imbalance in brain network hierarchy underlies the diverse phenotypic patterns observed in autism.
  • To explore the relationship between macroscale network organization, specifically the integration and segregation of unimodal and transmodal networks, and autism-related deficits.

Main Methods:

  • Utilized task-free functional magnetic resonance imaging (fMRI) in a large cohort of individuals with autism and typically developing controls.
  • Applied connectome gradient and stepwise connectivity analyses to examine macroscale brain network hierarchy.
  • Employed supervised pattern learning to correlate hierarchical features with behavioral symptoms.

Main Results:

  • Demonstrated atypical connectivity transitions between sensory and higher-order default mode network regions in individuals with autism.
  • Identified reduced differentiation linked to perturbed stepwise connectivity from sensory to transmodal areas and atypical long-range rich-club connectivity.
  • Found that hierarchical network features predicted social cognition deficits and low-level behavioral symptoms, but not communication impairments.

Conclusions:

  • Provided new evidence for imbalances in brain network hierarchy as a core feature of autism spectrum disorder.
  • This network hierarchy disruption offers a parsimonious framework to consolidate the diverse clinical features of autism.
  • Findings suggest macroscale network organization is a crucial factor in understanding autism's complex presentation.