Evidence map›Paper›PMID 39786408›Full record

ArticleJAMA network open2024

Neuroanatomical Variability and Substance Use Initiation in Late Childhood and Early Adolescence.

Alex P Miller, David A A Baranger, Sarah E Paul, Hugh Garavan, Scott Mackey, Susan F Tapert, Kimberly H LeBlanc, Arpana Agrawal, Ryan Bogdan

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Classification of Alcohol Use Disorder With Explainable AI.Alcohol, clinical & experimental research · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. The role of the orbitofrontal cortex in smoking cue-reactivity in onset phase of smoking behavior, a fMRI study in adolescents.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  6. Multi-Ancestry Survival GWAS of Substance Use Initiation in the ABCD Study.medRxiv : the preprint server for health sciences · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Brain Age Gap as a Predictor of Alcohol Initiation in Adolescence.bioRxiv : the preprint server for biology · 2026
    Article
  14. Disruption ofiScience · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Independent brain cortical signatures of risk for adolescent cannabis use and consequences of such use are moderated by sex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alex P MillerDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
David A A BarangerDepartment of Psychological and Brain Sciences, Washington University in St Louis, Missouri.
Sarah E PaulDepartment of Psychological and Brain Sciences, Washington University in St Louis, Missouri.
Hugh GaravanDepartment of Psychiatry, University of Vermont Larner College of Medicine, Burlington.
Scott MackeyDepartment of Psychiatry, University of Vermont Larner College of Medicine, Burlington.
Susan F TapertDepartment of Psychiatry, University of California, San Diego.
Kimberly H LeBlancDivision of Extramural Research, National Institute on Drug Abuse, Bethesda, Maryland.
Arpana AgrawalDepartment of Psychiatry, Washington University in St Louis School of Medicine, St Louis, Missouri.
Ryan BogdanDepartment of Psychological and Brain Sciences, Washington University in St Louis, Missouri.

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
ABCD-USA Consortium:Research ProjectU01DA041028 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN B. CLARK, BEATRIZ LUNA · 2015 to 2026
$13.9M
NIAAA NIH HHS F31 AA029934NIAAA NIH HHS K01 AA031724NIAAA NIH HHS K99 AA030808NIAAA NIH HHS R21 AA027827NIDA NIH HHS R01 DA054750NIDA NIH HHS R01 DA057567NIDA NIH HHS T32 DA015035NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA055367NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147
6 · The paper itself

Abstract

Importance: The extent to which neuroanatomical variability associated with early substance involvement, which is associated with subsequent risk for substance use disorder development, reflects preexisting risk and/or consequences of substance exposure remains poorly understood. Objective: To examine neuroanatomical features associated with early substance use initiation and to what extent associations may reflect preexisting vulnerability. Design, Setting, and Participants: Cohort study using data from baseline through 3-year follow-up assessments of the ongoing longitudinal Adolescent Brain Cognitive Development Study. Children aged 9 to 11 years at baseline were recruited from 22 sites across the US between June 1, 2016, and October 15, 2018. Data were analyzed from February to September 2024. Exposures: Substance use initiation through 3-year follow-up (ie, age <15 years). Main Outcomes and Measures: Self-reported alcohol, nicotine, cannabis, and other substance use initiation and baseline magnetic resonance imaging (MRI)-derived estimates of brain structure (ie, global and regional cortical volume, thickness, surface area, sulcal depth, and subcortical volume). Covariates included family (eg, familial relationships), pregnancy (eg, prenatal exposure to substances), child (eg, sex and pubertal status), and MRI (eg, scanner model) variables. Results: Among 9804 children (mean [SD] baseline age, 9.9 [0.6] years; 5160 boys [52.6%]; 213 Asian [2.2%], 1474 Black [15.0%], 514 Hispanic/Latino [5.2%], 29 American Indian [0.3%], 10 Pacific Islander [0.1%], 7463 White [76.1%], and 75 other [0.7%]) with nonmissing baseline neuroimaging and covariate data, 3460 (35.3%) reported substance use initiation before age 15. Initiation of any substance or alcohol use was associated with thinner cortex in prefrontal regions (eg, rostral middle frontal gyrus, β = -0.03; 95% CI, -0.02 to -0.05; P = 6.99 × 10-6) but thicker cortex in all other lobes, larger globus pallidus and hippocampal volumes, as well as greater global indices of brain structure (eg, larger whole brain volume, β = 0.05; 95% CI, 0.03 to 0.06; P = 2.80 × 10-8) following Bonferroni or false discovery rate multiple testing correction. Cannabis use initiation was associated with lower right caudate volume (β = -0.03; 95% CI, -0.01 to -0.05; P = .002). Post hoc examinations restricting to postbaseline initiation suggested that the majority of associations, including thinner prefrontal cortex and greater whole brain volume, preceded initiation. Conclusions and Relevance: In this cohort study of children, preexisting neuroanatomical variability was associated with substance use initiation. In addition to putative neurotoxic effects of substance exposure, brain structure variability may reflect predispositional risk for initiating substance use earlier in life with potential cascading implications for development of later problems.

Indexed as

BrainMagnetic Resonance ImagingSubstance-Related DisordersAdolescentChildCohort StudiesFemaleHumansLongitudinal StudiesMaleUnited States

Identifiers

PMID39786408
PMCPMC11686416

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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.