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The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry.

Title: The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry.
Authors: Chopra S; Department of Psychology, Yale University, New Haven, CT, USA.; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.; Orygen, Parkville, Melbourne, Australia.; Center for Youth Mental Health, University of Melbourne, Melbourne, Australia.; Cocuzza CV; Department of Psychology, Yale University, New Haven, CT, USA.; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.; Lawhead C; Department of Psychology, Yale University, New Haven, CT, USA.; Department of Psychology, Stony Brook University, Stony Brook, NY, USA.; Ricard JA; Department of Psychology, Yale University, New Haven, CT, USA.; Stanford Neurosciences Interdepartmental Program, Stanford University School of Medicine, Stanford, CA, USA.; Labache L; Department of Psychology, Yale University, New Haven, CT, USA.; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.; Patrick LM; Department of Psychology, Yale University, New Haven, CT, USA.; Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA.; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Kumar P; Department of Psychiatry, Harvard Medical School, Boston, USA.; Centre for Depression, Anxiety and Stress Research, McLean Hospital, Boston, USA.; Rubenstein A; Department of Psychology, Yale University, New Haven, CT, USA.; Moses J; Department of Psychology, Yale University, New Haven, CT, USA.; Chen L; Department of Psychology, Cornell University, Ithaca, NY, USA.; Blankenbaker C; Institute for Technology in Psychiatry, McLean Hospital, Boston, USA.; Gillis B; Department of Psychiatry, Harvard Medical School, Boston, USA.; Institute for Technology in Psychiatry, McLean Hospital, Boston, USA.; Germine LT; Department of Psychiatry, Harvard Medical School, Boston, USA.; Institute for Technology in Psychiatry, McLean Hospital, Boston, USA.; Harpaz-Rotem I; Department of Psychology, Yale University, New Haven, CT, USA.; Department of Psychiatry, Yale University, New Haven, USA.; Wu Tsai Institute, Yale University, New Haven, USA.; Yeo BTT; Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.; N.1 Institute for Health National University of Singapore, Singapore, Singapore.; Department of Medicine, Healthy Longevity Translational Research Programme, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore.; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, USA.; Baker JT; Department of Psychiatry, Harvard Medical School, Boston, USA.; Institute for Technology in Psychiatry, McLean Hospital, Boston, USA.; Holmes AJ; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA. avram.holmes@rutgers.edu.
Source: Scientific data [Sci Data] 2025 Jun 02; Vol. 12 (1), pp. 923. Date of Electronic Publication: 2025 Jun 02.
Publication Type: Journal Article; Dataset
Language: English
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Imprint Name(s): Original Publication: London : Nature Publishing Group, 2014-
MeSH Terms: Brain*/physiopathology ; Brain*/diagnostic imaging ; Brain*/physiology ; Mental Disorders*/physiopathology ; Mental Disorders*/diagnostic imaging ; Connectome*; Humans ; Adult ; Magnetic Resonance Imaging ; Middle Aged ; Aged ; Adolescent ; Male ; Young Adult ; Female ; Psychiatry ; Behavior
Abstract: An important aim in psychiatry is to establish valid and reliable associations linking profiles of brain functioning to clinically relevant symptoms and behaviors across patient populations. To advance progress in this area, we introduce an open dataset containing behavioral and neuroimaging data from 241 individuals aged 18 to 70, comprising 148 individuals meeting diagnostic criteria for a broad range of psychiatric illnesses and a healthy comparison group of 93 individuals. These data include high-resolution anatomical scans, multiple resting-state, and task-based functional MRI runs. Additionally, participants completed over 50 psychological and cognitive assessments. Here, we detail available behavioral data as well as raw and processed MRI derivatives. Associations between data processing and quality metrics, such as head motion, are reported. Processed data exhibit classic task activation effects and canonical functional network organization. Overall, we provide a comprehensive and analysis-ready transdiagnostic dataset to accelerate the identification of illness-relevant features of brain functioning, enabling future discoveries in basic and clinical neuroscience.; (© 2025. The Author(s).)
Competing Interests: Competing interests: The authors declare no competing interests.
Comments: Update of: medRxiv. 2024 Jun 21:2024.06.18.24309054. doi: 10.1101/2024.06.18.24309054.. (PMID: 38946958)
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Grant Information: T32 MH019112 United States MH NIMH NIH HHS; R01MH120080 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH); R01 MH120080 United States MH NIMH NIH HHS; R01MH123245 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH); RF1 MH123245 United States MH NIMH NIH HHS
Entry Date(s): Date Created: 20250602 Date Completed: 20250602 Latest Revision: 20250630
Update Code: 20260130
PubMed Central ID: PMC12130183
DOI: 10.1038/s41597-025-04895-z
PMID: 40456751
Database: MEDLINE

Journal Article; Dataset