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Journal Article

Citation

Albaugh MD, Orr C, Chaarani B, Althoff RR, Allgaier N, D'Alberto N, Hudson K, Mackey S, Spechler PA, Banaschewski T, Brühl R, Bokde ALW, Bromberg U, Büchel C, Cattrell A, Conrod PJ, Desrivieres S, Flor H, Frouin V, Gallinat J, Goodman R, Gowland P, Grimmer Y, Heinz A, Kappel V, Martinot JL, Paillère Martinot ML, Nees F, Orfanos DP, Penttilä J, Poustka L, Paus T, Smolka MN, Struve M, Walter H, Whelan R, Schumann G, Garavan H, Potter AS. Biol. Psychiatry 2017; 82(9): 660-668.

Affiliation

Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.biopsych.2017.01.003

PMID

28237458

Abstract

BACKGROUND: Neuroimaging studies of attention-deficit/hyperactivity disorder (ADHD) have most commonly reported volumetric abnormalities in the basal ganglia, cerebellum, and prefrontal cortices. Few studies have examined the relationship between ADHD symptomatology and brain structure in population-based samples. We investigated the relationship between dimensional measures of ADHD symptomatology, brain structure, and reaction time variability-an index of lapses in attention. We also tested for associations between brain structural correlates of ADHD symptomatology and maps of dopaminergic gene expression.

METHODS: Psychopathology and imaging data were available for 1538 youths. Parent ratings of ADHD symptoms were obtained using the Development and Well-Being Assessment and the Strengths and Difficulties Questionnaire (SDQ). Self-reports of ADHD symptoms were assessed using the youth version of the SDQ. Reaction time variability was available in a subset of participants. For each measure, whole-brain voxelwise regressions with gray matter volume were calculated.

RESULTS: Parent ratings of ADHD symptoms (Development and Well-Being Assessment and SDQ), adolescent self-reports of ADHD symptoms on the SDQ, and reaction time variability were each negatively associated with gray matter volume in an overlapping region of the ventromedial prefrontal cortex. Maps of DRD1 and DRD2 gene expression were associated with brain structural correlates of ADHD symptomatology.

CONCLUSIONS: This is the first study to reveal relationships between ventromedial prefrontal cortex structure and multi-informant measures of ADHD symptoms in a large population-based sample of adolescents. Our results indicate that ventromedial prefrontal cortex structure is a biomarker for ADHD symptomatology. These findings extend previous research implicating the default mode network and dopaminergic dysfunction in ADHD.

Copyright © 2017 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.


Language: en

Keywords

Attention-deficit/hyperactivity disorder; Inattention; Multi-informant; Neuroimaging; Reaction time variability; Ventromedial prefrontal cortex

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