RDoC Funding Opportunities

Part of the Research Domain Criteria (RDoC) initiative, these funding opportunities seek research grant applications designed to develop innovative ways of understanding mental disorders in clinical studies on the basis of neuroscience, and behavioral measures rather than traditional diagnostic categories.

Types of RDoC Grants:

As with all NIH grant applications, RDoC grant applications can be submitted as part of:

1. Investigator-Initiated Applications: 
   NIMH welcomes applications on projects of interest to RDoC without a current RDoC Notice of Funding Opportunity. Please contact the NIMH RDoC Unit at RDoCAdmin@mail.nih.gov for more information.
2. Notices of Funding Opportunity:
   Here, applications are solicited on specific topics, in this case RDoC. For a listing of previous and current RDoC Notices of Funding Opportunity, see below.
   • Currently Active RDoC Notices of Funding Opportunity
     • There are no active RDoC Notices of Funding Opportunity at this time.
   • Previous (Expired) RDoC Notices of Funding Opportunity
     • RFA-MH-25-195: Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) (U01 Clinical Trial Optional) 
     • IMPACT-MH Funding Details
     • RFA-MH-23-106: Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH): Data Coordinating Center (U24) 
     • RFA-MH-23-105: Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) (U01) 
     • PAR-18-930: Development and Optimization of Tasks and Measures for Functional Domains of Behavior 
     • PAS-21-216: Identification of Positive Valence System Related Targets for Novel Suicide Prevention Approaches (R01) 
     • PAS-21-215: Identification of Positive Valence System Related Targets for Novel Suicide Prevention Approaches (R21) 
     • RFA-MH-19-240: Computationally-Defined Behaviors in Psychiatry 
     • RFA-MH-19-242: Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology 
     • PAR-17-158: Secondary Data Analyses to Explore NIMH Research Domain Criteria  (R03)
     • PAR-16-136: Using the NIMH Research Domain Criteria (RDoC) Approach to Understand Psychosis  (R01)
     • PAR-16-135: Using the NIMH Research Domain Criteria (RDoC) Approach to Understand Psychosis  (R21)
     • RFA-MH-16-510: Dimensional Approaches to Research Classification in Psychiatric Disorders  (R01)
     • RFA-MH-15-500: Dimensional Approaches to Research Classification in Psychiatric Disorders 
     • RFA-MH-14-050: Dimensional Approaches to Research Classification in Psychiatric Disorders 
     • RFA-MH-14-030: Advancing Eating Disorders Research through Dimensional Studies of Biology and Behavior 
     • PAR-14-008: Secondary Data Analyses to Explore NIMH Research Domain Criteria  (R03)
     • RFA-MH-13-080: Dimensional Approaches to Research Classification in Psychiatric Disorders(R01) 
     • RFA-MH-12-100: Dimensional Approaches to Research Classification in Psychiatric Disorders (R01) 
     • PAR-23-305: Computationally-Defined Behaviors in Psychiatry (R21 Clinical Trial Optional) 
     • PAR-23-307: Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional) 

See a list of grants  funded under these RDoC Notices of Funding Opportunity.

Applications proposing treatment development research using RDoC principles should be submitted under one of the NIMH Notices of Funding Opportunity to address the safety, efficacy, and effectiveness of preventive, therapeutic, and services interventions.

For Frequently Asked Questions about writing RDoC grants, please visit here.