Alterations of static and dynamic brain functional network connectivity in preschool children with autism spectrum

Chunlan Sun1, Shuang Ding1, Bin Qin1

  • 1Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.

PubMed

Insights

Preschool children with autism spectrum disorder (ASD) show both static brain network disconnections and dynamic network rigidity. These brain alterations correlate with core ASD symptoms like social communication deficits and repetitive behaviors.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Medical Imaging

Background:

  • Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication deficits and restricted, repetitive behaviors.
  • Understanding the neural underpinnings of ASD in early childhood is crucial for developing effective interventions.

Purpose of the Study:

  • To investigate alterations in static and dynamic brain functional network connectivity (FNC) in preschool children with ASD.
  • To explore the correlation between these FNC alterations and clinical symptoms of ASD.
  • To provide neuroimaging evidence for the pathogenesis of ASD.

Main Methods:

  • Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected from 47 preschool children with ASD and 56 typically developing children (TDC).
  • Independent component analysis (ICA) and dynamic FNC analysis were used to assess static and dynamic FNC.
  • Correlations between FNC measures and Autism Diagnostic Observation Schedule (ADOS) scores were examined.

Main Results:

  • ASD group exhibited decreased static FNC between networks like the left frontoparietal network (lFPN) and sensorimotor network (SMN).
  • Increased static FNC was observed between the right frontoparietal network (rFPN) and default mode network (DMN)/dorsal attention network (DAN) in ASD.
  • ASD group showed increased dynamic FNC variability in posterior visual network (pVN) and auditory network (AN), and decreased variability in lFPN and lateral visual network (lVN).
  • Repetitive behaviors and restricted interests correlated positively with rFPN-DMN and rFPN-DAN connectivity.
  • Time spent in a specific dynamic state correlated with communication scores.

Conclusions:

  • Preschool ASD brains display a dual pattern of static dysconnectivity and dynamic rigidity.
  • These network alterations are potentially linked to core ASD symptoms in young children.
  • Findings offer neuroimaging insights into ASD pathogenesis.
Abstract

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