Evidence map›Paper›PMID 39909136›Full record

ArticleBiological psychiatry2025

Identification and External Validation of a Problem Cannabis Risk Network.

Sarah D Lichenstein, Brian D Kiluk, Marc N Potenza, Hugh Garavan, Bader Chaarani, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis and 19 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Biological psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Altered reward-related resting-state network properties in adolescent cannabis use and depression.Progress in neuro-psychopharmacology & biological psychiatry · 2026
    Article
  5. Review
  6. Article
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

29 authors.

Sarah D LichensteinDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut. Electronic address: sarah.lichenstein@yale.edu.
Brian D KilukDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Marc N PotenzaDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut; Connecticut Mental Health Center, New Haven, Connecticut; Connecticut Council on Problem Gambling, Wethersfield, Connecticut; Wu Tsai Institute, Yale University, New Haven, Connecticut; Department of Neuroscience, Yale University, New Haven, Connecticut.
Hugh GaravanDepartment of Psychiatry, University of Vermont, Burlington, Vermont; Department of Psychology, University of Vermont, Burlington, Vermont.
Bader ChaaraniDepartment of Psychiatry, University of Vermont, Burlington, Vermont.
Tobias BanaschewskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, German Center for Mental Health, partner site Mannheim-Heidelberg-Ulm, Mannheim, Germany.
Arun L W BokdeDiscipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Sylvane DesrivièresSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Herta FlorInstitute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany.
Antoine GrigisNeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Penny GowlandSir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Andreas HeinzDepartment of Psychiatry and Psychotherapy CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt, Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Rüdiger BrühlPhysikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany.
Jean-Luc MartinotInstitut National de la Santé et de la Recherche Médicale, Institut National de la Santé et de la Recherche Médicale U 1299 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Centre National de la Recherche Scientifique, Centre Borelli, Gif-sur-Yvette, France; Psychiatry Department, EPS Barthélémy Durand, Étampes, France.
Marie-Laure Paillère MartinotInstitut National de la Santé et de la Recherche Médicale, Institut National de la Santé et de la Recherche Médicale U 1299 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Centre National de la Recherche Scientifique, Centre Borelli, Gif-sur-Yvette, France; Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Sorbonne Université, Paris, France.
Eric ArtigesInstitut National de la Santé et de la Recherche Médicale, Institut National de la Santé et de la Recherche Médicale U 1299 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Centre National de la Recherche Scientifique, Centre Borelli, Gif-sur-Yvette, France; Psychiatry Department, EPS Barthélémy Durand, Étampes, France.
Frauke NeesDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, German Center for Mental Health, partner site Mannheim-Heidelberg-Ulm, Mannheim, Germany; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany.
Dimitri Papadopoulos OrfanosNeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Luise PoustkaDepartment of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Sarah HohmannDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, German Center for Mental Health, partner site Mannheim-Heidelberg-Ulm, Mannheim, Germany.
Nathalie HolzDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, German Center for Mental Health, partner site Mannheim-Heidelberg-Ulm, Mannheim, Germany.
Christian BaeuchlDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
Michael N SmolkaDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
Nilakshi VaidyaCentre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany.
Henrik WalterDepartment of Psychiatry and Psychotherapy CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt, Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Robert WhelanSchool of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland.
Gunter SchumannCentre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany; Centre for Population Neuroscience and Precision Medicine, Institute for Science and Technology of Brain-inspired Intelligence, Fudan University, Shanghai, China.
Godfrey PearlsonDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Wu Tsai Institute, Yale University, New Haven, Connecticut; Department of Neuroscience, Yale University, New Haven, Connecticut.
Sarah W YipDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut.

Funding

TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
Alcohol Use in College Students:Cognition and fMRIR01AA016599 · NIAAA · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2008 to 2012
$3.0M
Neural mechanisms of CBT in cocaine dependence (Gender Differences Supplement)R01DA035058 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M., POTENZA, MARC N · 2013 to 2016
$2.3M
fMRI of CBT and CM for Cocaine DependenceR01DA020908 · NIDA · YALE UNIVERSITY · PI POTENZA, MARC N · 2005 to 2009
$1.7M
fMRI of Craving in Addictions: Gender DifferencesR01DA019039 · NIDA · YALE UNIVERSITY · PI POTENZA, MARC N · 2005 to 2009
$1.6M
Connectome-based neuromarkers of problem cannabis useK08DA051667 · NIDA · YALE UNIVERSITY · PI LICHENSTEIN, SARAH D. · 2020 to 2024
$959k
NIAAA NIH HHS R01 AA016599NIDA NIH HHS K08 DA051667NIDA NIH HHS P50 DA009241NIDA NIH HHS R01 DA019039NIDA NIH HHS R01 DA020908NIDA NIH HHS R01 DA035058
6 · The paper itself

Abstract

backgroundCannabis use is common, particularly during emerging adulthood when brain development is ongoing, and its use is associated with harmful outcomes for a subset of people. An improved understanding of the neural mechanisms underlying risk for problem-level use is critical to facilitate the development of more effective prevention and treatment approaches.

methodsIn the current study, we applied a whole-brain, data-driven, machine learning approach to identify neural features predictive of problem-level cannabis use in a nonclinical sample of college students (n = 191, 58% female) based on reward task functional connectivity data. We further examined whether the identified network would generalize to predict cannabis use in an independent sample of European adolescents/emerging adults (n = 1320, 53% female), whether it would predict clinical characteristics among adults seeking treatment for cannabis use disorder (n = 33, 9% female), and whether it was specific for predicting cannabis versus alcohol use outcomes across datasets.

resultsResults demonstrated identification of a problem cannabis risk network, which generalized to predict cannabis use in an independent sample of adolescents and was linked to increased addiction severity and poorer treatment outcome in a third sample of treatment-seeking adults. Furthermore, the identified network was specific for predicting cannabis versus alcohol use outcomes across all 3 datasets.

conclusionsFindings provide insight into neural mechanisms of risk for problem-level cannabis use among adolescents/emerging adults. Future work is needed to assess whether targeting this network can improve prevention and treatment outcomes.

Indexed as

BrainMarijuana AbuseAdolescentAdultFemaleHumansMachine LearningMagnetic Resonance ImagingMaleRewardYoung AdultEmerging adulthoodExternal replicationFunctional connectivityMarijuanaNeuromarkerPredictive modeling

Identifiers

PMID39909136
PMCPMC12318113

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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.