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

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.

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Publication Details

Journal
Scientific Data
Published
2025-06-02
DOI
https://doi.org/10.1038/s41597-025-04895-z
Citations
5
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
7.16

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article

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

Jocelyn A. Ricard, Carrisa V. Cocuzza, Poornima Kumar, Laura Germine et al.
5 citations
Scientific Data
Functional Brain Connectivity Studies
7.16
article

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

Jocelyn A. Ricard, Carrisa V. Cocuzza, Poornima Kumar, Laura Germine, Connor Lawhead, Crystal Blankenbaker, Arielle Rubenstein, Lia Chen, Loïc Labache, Sidhant Chopra, Justin T. Baker, Julia Moses, Ilan Harpaz‐Rotem, Lauren M. Patrick, Bryce Gillis, Avram J. Holmes, B. T. Thomas Yeo
article en
5 citations

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.

Scientific DataVol. 12(1)
Rutgers, The State University of New Jersey (US), Harvard University (US), The University of Melbourne (AU), National University of Singapore (SG), Cornell University (US), McLean Hospital (US), Yale University (US), Massachusetts General Hospital (US), Orygen Youth Health (AU), National University Cancer Institute, Singapore (SG), Environmental and Occupational Health Sciences Institute (US), Orygen (AU), Athinoula A. Martinos Center for Biomedical Imaging (US), National University Health System (SG), Stony Brook University (US), University of Pennsylvania (US), Stanford University (US)
National Institute of Mental Health
Openalex Percentile: Top 3%
Functional Brain Connectivity Studies
7.16
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