This NIMH grant solicits proposals to use computational approaches for validating dimensional constructs within the NIMH Research Domain Criteria matrix. The core purpose is to explore how distinct behavioral domains segregate, their reliance on shared versus unique neural circuits, and the relationships between various constructs and subconstructs in terms of correlation and underlying neurology. By answering these questions, the grant aims to test integrative models of functioning and identify dysregulation in psychopathology-related mechanisms, potentially cutting across traditional diagnoses. Projects should integrate computational and experimental components. The ultimate goal is to advance translational research, leading to novel classification methods, treatment targets, and more effective interventions for serious mental illness.
Opportunity ID: 350246
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PAR-23-307 |
| Funding Opportunity Title: | Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.242 — Mental Health Research Grants |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Sep 19, 2023 |
| Last Updated Date: | Sep 19, 2023 |
| Original Closing Date for Applications: | Nov 01, 2023 |
| Current Closing Date for Applications: | Nov 01, 2023 |
| Archive Date: | Dec 07, 2023 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $500,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Independent school districts Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Special district governments Public and State controlled institutions of higher education Native American tribal governments (Federally recognized) City or township governments For profit organizations other than small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) Small businesses County governments Public housing authorities/Indian housing authorities Native American tribal organizations (other than Federally recognized tribal governments) State governments Private institutions of higher education |
| Additional Information on Eligibility: | Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession. |
Additional Information
| Agency Name: | National Institutes of Health |
| 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. |
| Link to Additional Information: | https://grants.nih.gov/grants/guide/pa-files/PAR-23-307.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH Grants Information
grantsinfo@nih.gov Email:grantsinfo@nih.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
Folder 350246 Full Announcement-PAR-23-307 -> PAR-23-307-Full-Announcement.pdf
Packages
| Agency Contact Information: | NIH Grants Information grantsinfo@nih.gov Email: grantsinfo@nih.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| FORMS-H | Use for due dates on or after January 25, 2023 | PKG00283187 | Oct 01, 2023 | Nov 01, 2023 | View |
Package 1
Mandatory forms
350246 RR_SF424_5_0-5.0.pdf
350246 PHS398_CoverPageSupplement_5_0-5.0.pdf
350246 RR_OtherProjectInfo_1_4-1.4.pdf
350246 PerformanceSite_4_0-4.0.pdf
350246 RR_KeyPersonExpanded_4_0-4.0.pdf
350246 PHS398_ResearchPlan_5_0-5.0.pdf
350246 PHSHumanSubjectsAndClinicalTrialsInfo_3_0-3.0.pdf
Optional forms
350246 RR_Budget_3_0-3.0.pdf
350246 RR_SubawardBudget30_3_0-3.0.pdf
350246 PHS398_ModularBudget_1_2-1.2.pdf
350246 PHS_AssignmentRequestForm_3_0-3.0.pdf
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