Evidence map›Paper›PMID 40909792›Full record

ArticleResearch square2025

Neuroanatomy Reflects Individual Variability in Impulsivity in Youth.

Elvisha Dhamala, Erynn Christensen, Jamie Hanson, Jocelyn Ricard, Noelle Arcaro, Simran Bhola, Lisa Wiersch, Katharina Brosch, B T Thomas Yeo, Avram Holmes and 1 more

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In one paragraph

Article in Research square, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Elvisha DhamalaFeinstein Institutes for Medical Research.ORCID https://orcid.org/0000-0002-8253-6962
Erynn ChristensenFeinstein Institutes for Medical Research.
Jamie Hanson
Jocelyn RicardStanford University.
Noelle ArcaroFeinstein Institutes for Medical Research.
Simran BholaFeinstein Institutes for Medical Research.
Lisa WierschFeinstein Institutes for Medical Research.
Katharina BroschFeinstein Institutes for Medical Research.ORCID https://orcid.org/0000-0002-0526-8095
B T Thomas YeoNational University of Singapore.ORCID https://orcid.org/0000-0002-0119-3276
Avram HolmesRutgers University.ORCID https://orcid.org/0000-0001-6583-803X
Sarah YipYale School of Medicine.ORCID https://orcid.org/0000-0003-2293-2864

Funding

Functional genomics of the human connectome in psychiatric illnessR01MH120080 · NIMH · YALE UNIVERSITY · PI AVRAM J HOLMES, Thomas Boon Thye Yeo · 2019 to 2026
$4.8M
Connectome-based prediction and neurodevelopmental trajectories of alcohol phenotypes across developmentR01AA027553 · NIAAA · YALE UNIVERSITY · PI SCHEINOST, DUSTIN, YIP, SARAH · 2019 to 2022
$1.7M
Application of a Bayesian strategy to ABCD: Identification of substance use risk and COVID-19 effects on neurodevelopmentR01DA053301 · NIDA · YALE UNIVERSITY · PI Sarah Yip · 2022 to 2026
$1.6M
NIAAA NIH HHS R01 AA027553NIDA NIH HHS R01 DA053301NIMH NIH HHS R01 MH120080
6 · The paper itself

Abstract

Individual differences in neural circuits underlying emotional regulation, motivation, and decision-making are implicated in many psychiatric illnesses. Interindividual variability in these circuits may manifest, at least in part, as individual differences in impulsivity at both normative and clinically significant levels. Impulsivity reflects a tendency towards rapid, unplanned reactions to internal or external stimuli without considering potential negative consequences coupled with difficulty inhibiting responses. Here, we use multivariate brain-based predictive models to explore the neural bases of impulsivity across multiple behavioral scales, neuroanatomical features (cortical thickness, surface area, and gray matter volume), and sexes (females and males) in a large sample of youth from the Adolescent Brain Cognitive Development (ABCD) Study at baseline (n = 9,099) and two-year follow-up (n = 6,432). Impulsivity is significantly associated with neuroanatomical variability, and these associations vary across behavioral scales and neuroanatomical features. Impulsivity broadly maps onto cortical thickness in dispersed regions (e.g., inferior frontal, lateral occipital, superior frontal, entorhinal), as well as surface area and gray matter volume in specific medial (e.g., parahippocampal, cingulate) and polar (e.g., frontal and temporal) territories. Importantly, while many relationships are stable across sexes, others are sex-specific. These results highlight the complexity of the relationships between neuroanatomy and impulsivity across scales, features, sexes, and time points in youth. These findings suggest that neuroanatomy, in combination with other biological and environmental factors, reflects a key driver of individual differences in impulsivity in youth. As such, neuroanatomical markers may help identify youth at increased risk for developing impulsivity-related illnesses. Furthermore, this work emphasizes the importance of adopting a multidimensional and sex-specific approach in neuroimaging and behavioral research.

Indexed as

BIS/BASdevelopmentmachine learningneuroanatomysex differencesUPPS

Identifiers

PMID40909792
PMCPMC12408030

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.