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Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional)

Sector: Hospital • Location: United States of America

Source: Grants.gov

Project
Closed

Reissue of PAR-21-263 to comply with DMS Policy. This Notice of Funding Opportunity (NOFO) solicits proposals for research projects that will use computational approaches to test the validity of dimensional constructs in the NIMH Research Domain Criteria matrix (or similar constructs based on comparable criteria). Some elements of the RDoC matrix have been updated since its first release, but a th

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The project “Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional)” is an infrastructure initiative in the Hospital sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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closed

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Description

Description

Reissue of PAR-21-263 to comply with DMS Policy. This Notice of Funding Opportunity (NOFO) solicits proposals for research projects that will use computational approaches to test the validity of dimensional constructs in the NIMH Research Domain Criteria matrix (or similar constructs based on comparable criteria). Some elements of the RDoC matrix have been updated since its first release, but a thorough data-driven validation that broadly explores, compares, and validates the constructs within the matrix has not been performed. This NOFO seeks research that addresses the following questions: do the different domains of behavior segregate from each other? How much do they rely on distinct vs. overlapping neural circuits? What are the relationships between domains, constructs and subordinate subconstructs, both in terms of their correlational structure and their underlying neural circuitry? By answering these questions, proposals will test integrative models of functioning and identify dysregulation in psychopathology-related mechanisms that may cut across traditional diagnostic categories and may change over time. This NOFO seeks to promote projects where the computational and the experimental components are well-integrated. The ultimate goal is to advance translational research that will identify novel classification approaches and/or treatment targets, and lead to more effective and timely interventions for serious mental illness.

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Source reliability

High

Data quality score

100%

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