Evidence map›Paper›PMID 42367577›Full record

ArticlePCN reports : psychiatry and clinical neurosciences2026

Dimensional association between ADHD traits and gray matter volume in young adults: A voxel-based morphometry study.

Haruka Asaoka, Michio Takahashi, Kentaro Oba, Hikaru Takeuchi, Yasuyuki Taki

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Article in PCN reports : psychiatry and clinical neurosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haruka AsaokaDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer Tohoku University Sendai Japan.ORCID https://orcid.org/0009-0007-5113-6329
Michio TakahashiSmart Aging Research Center Tohoku University Sendai Japan.
Kentaro ObaSmart Aging Research Center Tohoku University Sendai Japan.
Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer Tohoku University Sendai Japan.
Yasuyuki TakiDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer Tohoku University Sendai Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Prior structural magnetic resonance imaging (MRI) studies of attention-deficit/hyperactivity disorder (ADHD) have primarily focused on clinically diagnosed samples, whereas the neuroanatomical correlates of dimensional ADHD traits in healthy young adults (aged 18-27 years) remain insufficiently characterized, and it is unclear whether neuroanatomical patterns reported in clinically diagnosed samples generalize to subclinical trait variability in young adulthood. We therefore examined whole-brain voxelwise associations between gray matter volume (GMV) and the Conners' Adult ADHD Rating Scales (CAARS) Hyperactivity/Restlessness subscale as the primary analysis, and evaluated associations with other CAARS scales on an exploratory basis, using voxel-based morphometry (VBM). Methods: Participants were 534 healthy young adults (304 males, 230 females; aged 18-27 years) without an ADHD diagnosis. ADHD traits were assessed using CAARS. High-resolution T1-weighted structural MRI data were acquired on a 3-Tesla scanner. GMV was analyzed using VBM implemented in SPM12. Voxelwise multiple-regression analyses were conducted, with Hyperactivity/Restlessness as the primary scale of interest and other CAARS scales examined in separate exploratory models. Statistical significance was set at Results: GMV in the right dorsolateral prefrontal cortex (DLPFC) showed a small but statistically significant positive association with Hyperactivity/Restlessness scores (cluster-level FWE-corrected Conclusion: These findings are consistent with a dimensional perspective on ADHD-related traits and suggest that interindividual differences in Hyperactivity/Restlessness may be reflected in subtle GMV variation in the right DLPFC among healthy young adults. Further multimodal and longitudinal studies are warranted to clarify developmental and mechanistic interpretations.

Indexed as

ADHD traitsattention‐deficit/hyperactivity disorder (ADHD)dimensional approachgray matter volumevoxel‐based morphometry (VBM)

Identifiers

PMID42367577
PMCPMC13305330

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.