Imaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder

Miao Cao1, Ni Shu, Qingjiu Cao

  • 1State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.

Insights

Children with attention-deficit/hyperactivity disorder (ADHD) show altered brain network connectivity. These brain connectome changes, including reduced global integrity, are linked to ADHD symptoms and may aid in diagnosis.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Medical Imaging

Background:

  • Attention-deficit/hyperactivity disorder (ADHD) is a common childhood neurodevelopmental disorder.
  • Core ADHD symptoms include inattention, hyperactivity, and impulsivity.
  • Previous research links ADHD behavior deficits to brain abnormalities and altered connectivity.

Purpose of the Study:

  • To review recent advances in functional and structural brain connectomics for ADHD.
  • To focus on graph analysis of large-scale brain systems in ADHD.
  • To understand ADHD's impact on brain network topology and its relation to symptoms.

Main Methods:

  • Utilized noninvasive neuroimaging (EEG, fMRI, dMRI) and neurophysiological techniques.
  • Applied graph theoretical approaches to map brain network topology (connectomes).
  • Analyzed functional and structural connectivity alterations in ADHD populations.

Main Results:

  • Children with ADHD exhibit abnormal small-world network properties (higher local clustering, lower global integrity).
  • ADHD-associated network alterations show a shift towards regular configurations.
  • Functional and structural connectivity changes involve default-mode, attention, and sensorimotor systems, correlating with symptom severity.

Conclusions:

  • Connectome-based studies reveal significant brain network dysfunction in ADHD.
  • These findings offer insights into ADHD pathophysiology.
  • ADHD-related connectome alterations may serve as potential imaging biomarkers for diagnosis and treatment evaluation.