The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry
Sidhant Chopra1,2,3,4, Carrisa V Cocuzza1,2, Connor Lawhead1,5
1Department of Psychology, Yale University, New Haven, CT, USA.
Scientific Data
|June 2, 2025
Summary
This study presents a new open dataset linking brain function to psychiatric symptoms. The comprehensive data includes neuroimaging and behavioral assessments for patients and controls, aiding neuroscience research.
Area of Science:
- Neuroscience
- Psychiatry
- Data Science
Background:
- Establishing links between brain function and psychiatric symptoms is crucial.
- Previous research has been limited by data accessibility and scope.
Purpose of the Study:
- To introduce a comprehensive, open-access dataset for psychiatric and neuroscience research.
- To facilitate the identification of brain-based markers for psychiatric disorders.
Main Methods:
- Collected neuroimaging (MRI) and extensive behavioral/cognitive data from 241 participants (148 with psychiatric diagnoses, 93 healthy controls).
- Detailed data processing, quality metrics (e.g., head motion), and MRI derivatives.
- Included anatomical scans, resting-state and task-based functional MRI.
Main Results:
- Processed MRI data demonstrate expected task activation and functional network organization.
- Behavioral data cover over 50 psychological and cognitive assessments.
- Reported associations between data processing metrics and quality control.
Conclusions:
- The dataset is analysis-ready and transdiagnostic.
- Accelerates discovery of illness-relevant brain functioning features.
- Supports future advancements in basic and clinical neuroscience.
