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Related Experiment Video

Updated: Aug 5, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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Functional and structural brain network development in children with attention deficit hyperactivity disorder.

Shania Mereen Soman1, Nandita Vijayakumar1, Phoebe Thomson2,3

  • 1Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Geelong, Victoria, 3125, Australia.

Human Brain Mapping
|March 29, 2023
PubMed
Summary
This summary is machine-generated.

Children with Attention Deficit Hyperactivity Disorder (ADHD) exhibit altered brain connectivity development. This study reveals distinct patterns in functional and structural brain networks during childhood and adolescence compared to controls.

Keywords:
attention deficit hyperactivity disorderconnectomesdiffusion weighted imagingfunctional connectivitygraph theoryresting state functional magnetic resonance imagingstructural connectivity

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Medical Imaging

Background:

  • Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children.
  • Brain structure and function undergo significant changes during childhood and adolescence.
  • Understanding longitudinal brain connectivity changes in ADHD is crucial for developmental insights.

Purpose of the Study:

  • To investigate longitudinal changes in functional and structural brain connectivity in children with ADHD compared to typically developing controls.
  • To utilize graph metrics to analyze brain network topology.
  • To identify developmental trajectories of brain connectivity in ADHD.

Main Methods:

  • A longitudinal neuroimaging study involving 175 participants (91 with ADHD, 84 controls) aged 9-14.
  • Acquisition of resting-state fMRI and diffusion-weighted imaging data over up to three waves.
  • Analysis of graph metrics including degree, local efficiency, and betweenness centrality.

Main Results:

  • Children with ADHD showed altered functional connectivity (lower/higher degree, local efficiency, betweenness centrality) in various cortical regions.
  • Structural connectivity in ADHD was characterized by lower local efficiency and higher degree/betweenness centrality in specific areas.
  • Differential developmental trajectories for functional and structural connectivity were observed in higher-order cognitive and sensory regions.

Conclusions:

  • The topology of functional and structural brain connectomes matures differently in children with ADHD versus controls.
  • Neural circuits for sensory and higher-order cognitive functions are altered in the developmental trajectory of ADHD.
  • Findings highlight distinct developmental maturation of brain networks in pediatric ADHD.