Cited by 63Attention Deficit Hyperactivity DisorderNeural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Inattention and reaction time variability are linked to ventromedial prefrontal volume in adolescents

Open access
Albaugh, Matthew D., Orr, Catherine, Chaarani, Bader, Althoff, Robert R., Allgaier, Nicholas, D’Alberto, Nicholas, Hudson, Kelsey, Mackey, Scott +31 more·2017·Biological Psychiatry

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.biopsych.2017.01.003

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A second fronto-striatal circuit involving the nucleus accumbens and orbitofrontal cortex has been proposed to be associated with ADHD.

    “a second fronto-striatal circuit involving the nucleus accumbens and orbitofrontal cortex has been proposed to be associated with ADHD (23–25).”

    From Abnormal functional connectivity associated with emotional dysregulation in children with attention-deficit/hyperactivity disorder (2025) · cites this paper as [25]

    The Introduction reports ADHD-related abnormalities in the basal ganglia and prefrontal cortex, and the Results link ADHD symptoms to orbital lateral prefrontal volume (page numbers unavailable). The paper does not identify a second fronto-striatal circuit involving the nucleus accumbens and orbitofrontal cortex. (LLM, conf=0.79)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 51 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. [8]Ellison-Wright I Ellison-Wright Z Bullmore E 2008 Structural brain change in Attention Deficit Hyperactivity Disorder identified by meta-analysis BMC Psychiatry 8 51 18590567 PMC2453122
  2. [46]Lichter DG Cummings JL 2001 Frontal-subcortical circuits in psychiatric and neurological disorders New York Guilford Press

Cited by

Sorted by citations

Authors
Albaugh, M. D., Orr, C., Chaarani, B., Althoff, R. R., Allgaier, N., D’Alberto, N., Hudson, K., Mackey, S., Spechler, P. A., Banaschewski, T., Brühl, R., Bokde, A. L. W., Bromberg, U., Büchel, C., Cattrell, A., Conrod, P. J., Desrivières, S., Flor, H., Frouin, V., Gallinat, J., Goodman, R., Gowland, P., Grimmer, Y., Heinz, A., Kappel, V., Martinot, J.-L., Paillère Martinot, M.-L., Nees, F., Orfanos, D. P., Penttila¨, J., Poustka, L., Paus, T., Smolka, M. N., Struve, M., Walter, H., Whelan, R., Schumann, G., Garavan, H., & Potter, A. S.
Affiliations
  • University of Vermont (US)
  • Heidelberg University (DE)
  • Charité – Universitätsmedizin Berlin (DE)
  • Trinity College Dublin (IE)
  • University Medical Center Hamburg-Eppendorf (DE)
  • University of Nottingham (GB)
  • Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
  • Inserm (FR)
  • University of Toronto (CA)
  • Neuroimaging Center (DE)
  • University College Dublin (IE)
Corresponding author
Albaugh, Matthew D.
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2017-11
Volume
82
Issue
9
Pages
660-668
ISSN
0006-3223 (ISSN-L)
OpenAlex
W2572261981
Cited by
63
References
51
Citations by year
2026: 4 · 2025: 2 · 2024: 10 · 2023: 7 · 2022: 5 · 2021: 5 · 2020: 17 · 2019: 4 · 2018: 8 · 2017: 1
FWCI
6.74
Type
journal article
Language
en
Open access
Locations
  • Biological Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • GRO (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
  • Papyrus : Institutional Repository (Université de Montréal) (submittedVersion)
  • Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Funders
  • Wellcome Trust (U54 EB020403)
  • National Institute for Health and Care Research (eMED SysAlc01ZX1311A, SFB 940/1, SM 80/7-2, SM 80/7-1, 01EV0711, 01GS08152, U54 EB020403, SysAlc01ZX1311A)
  • European Commission (602450, U54 EB020403, SFB 940, 115300, SM 80/7-2, RO1 MH085772-01A1, 603016, MR/N000390/1, LSHMCT-2007-037286, 01EV0711, 602805)
  • Deutsche Forschungsgemeinschaft (SFB) 940/1, LSHM-CT-2007-037286, U54 EB020403, MR/N000390/1, 01GS08152, SM 80/7–2, 602805, RO1 MH085772-01A1, 01EV0711, SM 80/7-1, SFB940)
  • Svenska Forskningsrådet Formas (MR/N000390/1)
  • Bundesministerium für Bildung und Forschung (eMED SysAlc01ZX1311A, U54 EB020403, RO1 MH085772-01A1, MR/N000390/1, SFB 940/1, LSHM-CT-2007-037286, SFB 940, 01GS08152, SysAlc01ZX1311A, SM 80/7-2, 01EV0711)
  • Forskningsrådet om Hälsa, Arbetsliv och Välfärd
  • National Institutes of Health (SFB 940, SM 80/7-2, LSHM-CT-2007-037286, 01GS08152, MR/N000390/1, 01EV0711, MH085772‐01A1, EB020403, RO1 MH085772-01A1)
  • Medical Research Council (MR/N000390/1, RO1 MH085772-01A1, 115300, LSHM-CT-2007-037286, SFB 940/1, 01EV0711, 01GS08152, 93558, SM 80/7-2, SM 80/7-1, SFB 940, eMED SysAlc01ZX1311A, U54 EB020403)
  • National Institute of Mental Health (L40 MH108486, R01MH085772)
  • National Institute on Drug Abuse (P50DA036114)
  • National Institute of General Medical Sciences (P20GM103644)
  • National Institute of Biomedical Imaging and Bioengineering (U54EB020403)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Keywords
attention deficit hyperactivity disorder, ventromedial prefrontal cortex, gray matter volume, reaction time variability, inattention, adolescents, dopamine D1 receptor, DRD2, default mode network
MeSH terms
Adolescent, Attention Deficit Disorder with Hyperactivity, Child, Female, Humans, Male, Reaction Time, Prefrontal Cortex

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review