Evidence map›Paper›PMID 35212098›Full record

ArticleHuman brain mapping2022

Gray matter volumetric correlates of dimensional impulsivity traits in children: Sex differences and heritability.

Yu Chen, Jaime S Ide, Clara S Li, Shefali Chaudhary, Thang M Le, Wuyi Wang, Simon Zhornitsky, Sheng Zhang, Chiang-Shan R Li

Abstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Understanding the emergence of suicidal thoughts and behaviors in adolescence from a brain and behavioral developmental perspective.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  5. Article
  6. Polygenic Risks for Depression and Neural Responses to Reward and Punishment in Young Adults.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yu ChenDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-4946-4693
Jaime S IdeDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-7223-1102
Clara S LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Shefali ChaudharyDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Thang M LeDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Wuyi WangDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Simon ZhornitskyDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Sheng ZhangDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-9393-1212

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Multi-level statistical classification of substance use disorderR01DA051922 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI BI, JINBO, LI, CHIANG-SHAN RAY · 2020 to 2023
$1.8M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS R01 DA051922
6 · The paper itself

Abstract

Previous research investigated the cerebral volumetric correlates of impulsivity largely in moderate-sized samples and few have examined the distinct correlates of dimensions of impulsivity, sex differences, or heritability of the correlates. Here, we performed voxel-based morphometry analysis of data (n = 11,474; 5,452 girls, 9-10 years) curated from the Adolescent Brain Cognition Development project. In a linear regression with all five UPPS-P subscores as regressors and age in months, total intracranial volume, study site, and scanner model as covariates, higher levels of lack of premeditation, and sensation seeking were correlated with larger cortical and subcortical gray matter volumes (GMVs). In contrast, higher positive urgency was correlated with smaller GMVs in many of the same regions. The dimensional impulsivity traits also involved distinct volumetric correlates, with, for instance, sensation seeking and positive urgency specifically implicating bilateral caudate head/mid-cingulate cortex and bilateral lateral orbitofrontal cortex/left precentral gyrus, respectively. Boys relative to girls scored higher in all impulsivity dimensions. Girls relative to boys showed significantly stronger positive and negative correlations between sensation seeking and insula, putamen, and inferior frontal gyrus (IFG) GMVs and between positive urgency and cingulate cortex, insula, and IFG GMVs, respectively. With a subsample of twins, the dimensional impulsivity traits were weakly to moderately heritable in both girls and boys, and the GMV correlates were highly heritable in girls and boys combined. These findings collectively suggest shared and nonshared as well as sex differences in the cerebral volumetric bases of dimensional impulsivity traits and may facilitate research of externalizing psychopathology in children.

Indexed as

Gray MatterSex CharacteristicsAdolescentBrainChildFemaleHumansImpulsive BehaviorMagnetic Resonance ImagingMaleABCDheritabilityimpulsivenessUPPS-PVBM

Identifiers

PMID35212098
PMCPMC9057091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.