In one paragraphArticle 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.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
33 authors.
Runye ShiSchool of Data Science, Fudan University, Shanghai, China.
Shitong XiangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0002-5513-4714 Di ChenInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0001-5620-9020 Zheng ChenInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Tobias BanaschewskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany.ORCID 0000-0003-4595-1144 Gareth J BarkerDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.ORCID 0000-0002-5214-7421 Arun L W BokdeDiscipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0003-0114-4914 Sylvane DesrivièresSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-9120-7060 Herta FlorInstitute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany.ORCID 0000-0003-4809-5398 Hugh GaravanDepartments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, Vermont, USA.ORCID 0000-0002-8939-1014 Penny GowlandSir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.ORCID 0000-0002-4900-4817 Antoine GrigisNeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France.
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.
Jean-Luc MartinotInstitut National de la Santé et de la Recherce Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS.ORCID 0000-0002-0136-0388 Marie-Laure Paillère MartinotInstitut National de la Santé et de la Recherce Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS.
Eric ArtigesInstitut National de la Santé et de la Recherce Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS.ORCID 0000-0003-4461-7646 Frauke NeesDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany.ORCID 0000-0002-7796-8234 Dimitri Papadopoulos OrfanosDepartment of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany.ORCID 0000-0002-1242-8990 Luise PoustkaDepartment of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Michael N SmolkaDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0001-5398-5569 Sarah HohmannDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany.ORCID 0000-0002-5175-6698 Nilakshi VaidyaCentre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany.ORCID 0000-0002-4600-7158 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.ORCID 0000-0002-9403-6121 Robert WhelanSchool of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland.ORCID 0000-0002-2790-7281 Gunter SchumannDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-7740-6469 Barbara J SahakianInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0001-7352-1745 Trevor W RobbinsInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0003-0642-5977 Xiaolei LinSchool of Data Science, Fudan University, Shanghai, China.
Tianye JiaInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0001-5399-2953 IMAGEN Consortium
Funding
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1MA decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers R01DA049238 · NIDA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2023
$2.9MENIGMA World Aging CenterR56AG058854 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2018
$683kNIA NIH HHS R56 AG058854NIBIB NIH HHS U54 EB020403NIDA NIH HHS R01 DA049238
6 · The paper itselfAbstract
Substance use disorder (SUD) stands as a critical public health concern, contributing to substantial morbidity, mortality and societal costs. The effects of SUD on structural brain changes have been well documented. However, the neural mechanisms underlying SUD and the spatial-temporal volumetric changes associated with SUD remained underexplored. In this investigation, neuroimaging, behavioral and genomic data across four large population cohorts jointly covering the full lifespan were harmonized, and whole-brain volumetric trajectories between substance use disorders (SUDs) and healthy controls (HCs) were compared, revealing the potential neurobiological mechanisms and the genomic basis underlying SUD. Results highlighted three distinct life stages critical for the development of SUD: 1) adolescence to early adulthood (before 25y), where SUD is suspected to be the consequence of prefrontal-subcortical imbalance during neurodevelopment; 2) early-to-mid adulthood (25y - 45y), where SUD was strongly associated with compulsivity-related brain volumetric changes; 3) mid-to-late adulthood (after 45y), where SUD-related brain structural changes could be explained by neurotoxicity. Results were externally validated both via longitudinal analysis of these population cohorts and in independent cross-sectional samples. In summary, our study demonstrated the lifespan whole-brain volumetric changes associated with SUD, revealed potential neurobehavioral mechanisms for the development of SUD, and suggested critical time window for effective prevention and treatment of SUD.
Identifiers
PMID40678209
PMCPMC12270216
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390