Cited by 75Attention Deficit Hyperactivity DisorderNeural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Neural correlates of aggression in medication-naive children with ADHD: multivariate analysis of morphometry and tractography

Open access
Cha, Jiook, Fekete, Tomer, Siciliano, Francesco, Biezonski, Dominik, Greenhill, Laurence, Pliszka, Steven R, Blader, Joseph C, Krain Roy, Amy +2 more·2015·Neuropsychopharmacology

Abstract

Aggression is widely observed in children with attention deficit/hyperactivity disorder (ADHD) and has been frequently linked to frustration or the unsatisfied anticipation of reward. Although animal studies and human functional neuroimaging implicate altered reward processing in aggressive behaviors, no previous studies have documented the relationship between fronto-accumbal circuitry-a critical cortical pathway to subcortical limbic regions-and aggression in medication-naive children with ADHD. To address this, we collected behavioral measures and parental reports of aggression and impulsivity, as well as structural and diffusion MRI, from 30 children with ADHD and 31 healthy controls (HC) (mean age, 10±2.1 SD). Using grey matter morphometry and probabilistic tractography combined with multivariate statistical modeling (partial least squares regression and support vector regression), we identified anomalies within the fronto-accumbal circuit in childhood ADHD, which were associated with increased aggression. More specifically, children with ADHD showed reduced right accumbal volumes and frontal-accumbal white matter connectivity compared with HC. The magnitude of the accumbal volume reductions within the ADHD group was significantly correlated with increased aggression, an effect mediated by the relationship between the accumbal volume and impulsivity. Furthermore, aggression, but not impulsivity, was significantly explained by multivariate measures of fronto-accumbal white matter connectivity and cortical thickness within the orbitofrontal cortex. Our multi-modal imaging, combined with multivariate statistical modeling, indicates that the fronto-accumbal circuit is an important substrate of aggression in children with ADHD. These findings suggest that strategies aimed at probing the fronto-accumbal circuit may be beneficial for the treatment of aggressive behaviors in childhood 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 · 10.1038/npp.2015.18

Cites

7 of 7 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?

  • Such analyses have been applied to study how white matter fiber tracts are affected in individuals with different disease severity, how tracts relate to cognitive and socio-emotional function, and how tracts develop during human neurodevelopment and aging.

    “Such analyses have been applied to study, e.g., how white matter fiber tracts are affected in individuals with different disease severity (Cha et al., 2015; Chiang et al., 2016; Price et al., 2007), how tracts relate to cognitive and socio-emotional function (Zekelman et al., 2021), and how tracts are developing during human neurodevelopment and aging (Gertheiss et al., 2013; Hasan et al., 2009a;”

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

Research works printed but not linked: 2

  1. Chang C-C, Lin C-J (2011). LIBSVM: a library for support vector machines. ACM Transact Intell Syst Technol 2: 27.
  2. Orru G, Pettersson-Yeo W, Marquand AF, Sartori G, Mechelli A (2012). Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review. Neurosci Biobehav Rev 36: 1140-1152.

Cited by

Sorted by citations

Authors
Cha, J., Fekete, T., Siciliano, F., Biezonski, D., Greenhill, L., Pliszka, S. R., Blader, J. C., Krain Roy, A., Leibenluft, E., & Posner, J.
Affiliations
  • New York State Psychiatric Institute (US)
  • KU Leuven (BE)
  • The University of Texas at San Antonio Health Science Center (US)
  • National Institute of Mental Health (US)
Corresponding author
Cha, Jiook
Venue
Neuropsychopharmacology
Published
2015-02-03
Volume
40
Issue
7
Pages
1717-1725
ISSN
  • 0893-133X (ISSN-L)
  • 1740-634X
OpenAlex
W1987128048
Cited by
75
References
7
Citations by year
2026: 2 · 2025: 2 · 2024: 7 · 2023: 2 · 2022: 8 · 2021: 11 · 2020: 7 · 2019: 9 · 2018: 6 · 2017: 8 · 2016: 8 · 2015: 5
FWCI
7.31
Type
journal article
Language
en
Open access
Locations
  • Neuropsychopharmacology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Seoul National University Open Repository (Seoul National University) (submittedVersion)
Funders
  • Shire
  • National Institute of Mental Health (R01MH101172, K23MH091249)
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, aggression, nucleus accumbens, impulsivity, white matter connectivity, orbitofrontal cortex, cortical thickness, reward processing, frustration, structural MRI, diffusion MRI
MeSH terms
Adolescent, Aggression, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Child, Female, Humans, Image Processing, Computer-Assisted, Impulsive Behavior, Magnetic Resonance Imaging, Male, Neural Pathways, Statistics as Topic, Multivariate Analysis, White Matter

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