A Systematic Review of Imaging Studies in the Combined and Inattentive Subtypes of Attention Deficit Hyperactivity Disorder.

Front Integr Neurosci

Brain Dynamics Centre, Westmead Institute for Medical Research, Westmead Hospital, Sydney, NSW, Australia.

Published: June 2020

AI Article Synopsis

  • Neuroimaging research has provided insights into ADHD but still lacks clear distinctions between its subtypes, ADHD combined (ADHD-C) and predominantly inattentive (ADHD-I).
  • A review of 19 studies using various MRI techniques indicated that while structural MRI results are inconclusive, fMRI and DTI findings reveal disrupted connectivity in specific brain regions related to each subtype.
  • Differences in neural network organization, such as alterations in the default mode and motor networks for ADHD-C and cingulo-frontoparietal attention networks for ADHD-I, suggest distinct neurobiological profiles for the subtypes.

Article Abstract

Insights to underlying neural mechanisms in attention deficit hyperactivity disorder (ADHD) have emerged from neuroimaging research; however, the neural mechanisms that distinguish ADHD subtypes remain inconclusive. We reviewed 19 studies integrating magnetic resonance imaging [MRI; structural (sMRI), diffusion, functional MRI (fMRI)] findings into a framework exploring pathophysiological mechanisms underlying the combined (ADHD-C) and predominantly inattentive (ADHD-I) ADHD subtypes. Despite equivocal structural MRI results, findings from fMRI and DTI imaging modalities consistently implicate disrupted connectivity in regions and tracts involving frontal striatal thalamic in ADHD-C and frontoparietal neural networks in ADHD-I. Alterations of the default mode, cerebellum, and motor networks in ADHD-C and cingulo-frontoparietal attention and visual networks in ADHD-I highlight network organization differences between subtypes. Growing evidence from neuroimaging studies highlight neurobiological differences between ADHD clinical subtypes, particularly from a network perspective. Understanding brain network organization and connectivity may help us to better conceptualize the ADHD types and their symptom variability.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327109PMC
http://dx.doi.org/10.3389/fnint.2020.00031DOI Listing

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