Aims

This project aims at examining the hierarchical structure of the NIH Research Domain Criteria (RDoC) framework using large-scale data-driven computational approaches. The RDoC framework, currently only for research, ultimately aims at facilitating the development of psychiatric nosology (disorder-classification system) based upon primary behavioral functions and their associated biological features that the brain has evolved to carry out. In this project, using large-scale fMRI datasets (e.g., ABCD study), we specifically aim to examine whether (and to what degree): (1) RDoC constructs overlap across domains (2) within-domain constructs relate to similar dimensions of psychopathology; and (3) task-free paradigms (e.g., resting-state) can be mined to extract similar domain-specific information that is usually extracted using specific task-based paradigms. By addressing these three key questions, our central goal is to provide the much-needed bottom-up examination of the RDoC framework to pave a pathway for its refinement and translation.

Highlights

• Evaluating hierarchical structure of RDoC framework using circuit and behavioral data
• Examining relations between RDoC domains and dimensions of psychopathology
• Predicting domain-specific information using task-free paradigms

Funding

NIMH R01

Papers from this project