Opportunity Information: Apply for PAR 21 263

The National Institutes of Health (NIH), through the National Institute of Mental Health (NIMH), is offering an R01 grant opportunity titled "Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (Clinical Trial Optional)" (Funding Opportunity Number PAR 21-263; CFDA 93.242). This announcement is a reissue of an earlier call (RFA-MH-19-242) and focuses on strengthening the scientific foundation of the NIMH Research Domain Criteria (RDoC) framework. The central idea is to move beyond traditional diagnostic categories by rigorously testing whether the RDoC-style dimensional constructs (or closely comparable constructs defined using similar criteria) truly reflect how behavior, brain function, and psychopathology are organized in real-world data.

The FOA is specifically looking for research projects that use computational approaches to carry out broad, data-driven validation of constructs within the RDoC matrix. While the RDoC matrix has been updated over time, NIMH notes that a comprehensive, systematic validation effort that explores the structure of the matrix as a whole has not yet been done. Proposed projects are expected to examine whether different behavioral domains actually separate from one another in measurable ways, or whether they blend together more than the matrix implies. A major emphasis is on determining the extent to which domains and constructs depend on distinct neural circuits versus overlapping brain systems, and on mapping the relationships among domains, constructs, and more specific subconstructs both statistically (for example, their correlational structure) and biologically (for example, whether they share common circuitry or mechanisms).

A key expectation is that the computational work and the experimental or empirical components will be tightly integrated, rather than treated as separate tracks. In practice, that means applicants should not only propose sophisticated modeling, machine learning, or other computational strategies, but also show how those tools will be used in a way that directly informs measurement, experimental design, interpretation of neural and behavioral data, and ultimately the validation (or revision) of constructs. The goal is to test integrative models of functioning that can identify patterns of dysregulation linked to psychopathology-related mechanisms that cut across classic diagnoses and may shift over time, reflecting developmental change, illness progression, or other dynamic factors.

From a translational standpoint, NIMH frames the endgame as improving how mental illnesses are classified and treated. By establishing which dimensions are truly separable, which are intertwined, and which share biological substrates, the work supported under this FOA is intended to enable more biologically and behaviorally grounded classification approaches and to help identify treatment targets that may be missed when research is organized strictly around diagnostic labels. The hope is that this kind of computationally informed validation will contribute to interventions that are more precise, more timely, and ultimately more effective for people experiencing serious mental illness.

The opportunity is offered as a discretionary grant under the NIH R01 mechanism, with clinical trials listed as optional, meaning an applicant may propose a study that includes a clinical trial component if it is well-justified and fits the program goals, but it is not required. The listed award ceiling is $500,000, and the original closing date provided is 2023-09-25 (noting that applicants should always confirm current submission dates and any updates in the official posting and NIH application guides).

Eligibility is broad and includes many common applicant types such as state, county, and local governments; public and private institutions of higher education; independent school districts; special district governments; federally recognized Native American tribal governments; tribal organizations (including those other than federally recognized tribal governments); public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding institutions of higher education where specified); for-profit organizations (other than small businesses); and small businesses. The FOA also explicitly highlights additional eligible applicant categories, including Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, U.S. territories or possessions, regional organizations, and even non-U.S. entities (foreign organizations), as well as tribal governments that are not federally recognized. This wide eligibility reflects NIMH's interest in drawing from diverse research environments and populations to strengthen the generalizability and real-world relevance of findings.

  • The National Institutes of Health in the health sector is offering a public funding opportunity titled "Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242.
  • This funding opportunity was created on 2021-07-07.
  • Applicants must submit their applications by 2023-09-25. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $500,000.00 in funding.
  • Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
Apply for PAR 21 263

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Frequently Asked Questions (FAQs)

What is the official title of this grant opportunity?

The opportunity is titled "Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (Clinical Trial Optional)."

Which agency and institute are offering this funding opportunity?

This funding opportunity is offered by the National Institutes of Health (NIH) through the National Institute of Mental Health (NIMH).

What is the Funding Opportunity Number (FOA number)?

The Funding Opportunity Number is PAR 21-263.

What is the CFDA number listed for this opportunity?

The CFDA number listed is 93.242.

What grant mechanism is being used?

This opportunity uses the NIH R01 research project grant mechanism.

Is this a reissue of an earlier announcement?

Yes. This announcement is described as a reissue of an earlier call, RFA-MH-19-242.

What is the overall purpose of this FOA?

The purpose is to strengthen the scientific foundation of the NIMH Research Domain Criteria (RDoC) framework by conducting broad, data-driven validation of RDoC-style dimensional constructs (or closely comparable constructs defined using similar criteria) using computational approaches.

What does NIMH want validated under this FOA?

NIMH is seeking rigorous tests of whether RDoC-style dimensional constructs truly reflect how behavior, brain function, and psychopathology are organized in real-world data.

Does the FOA focus on traditional diagnostic categories?

No. A central theme is moving beyond traditional diagnostic categories and instead testing dimensional constructs that may cut across classic diagnoses.

What kind of research approaches are expected?

The FOA specifically emphasizes computational approaches, including (as examples) modeling, machine learning, and other computational strategies, used to validate constructs within the RDoC matrix.

Is the work expected to be data-driven?

Yes. The FOA calls for broad, data-driven validation efforts aimed at examining the structure of the RDoC matrix as a whole.

Why is NIMH calling for a comprehensive validation effort now?

While the RDoC matrix has been updated over time, NIMH notes that a comprehensive, systematic validation effort exploring the structure of the matrix as a whole has not yet been done.

What aspects of the RDoC matrix structure are applicants expected to examine?

Proposed projects are expected to test whether different behavioral domains separate from one another in measurable ways or whether they blend together more than the matrix implies.

Is there an emphasis on linking constructs to brain circuitry?

Yes. A major emphasis is determining whether domains and constructs depend on distinct neural circuits versus overlapping brain systems.

Are applicants expected to examine relationships among domains, constructs, and subconstructs?

Yes. The FOA highlights mapping relationships among domains, constructs, and more specific subconstructs both statistically (for example, correlational structure) and biologically (for example, shared circuitry or mechanisms).

Do computational and empirical components need to be connected?

Yes. A key expectation is tight integration of computational work with experimental or empirical components, rather than treating them as separate tracks.

How should computational tools be used according to the FOA?

The FOA indicates applicants should show how computational tools will directly inform measurement, experimental design, interpretation of neural and behavioral data, and ultimately the validation (or revision) of constructs.

What kinds of models does NIMH want tested?

The FOA describes a goal of testing integrative models of functioning that can identify patterns of dysregulation linked to psychopathology-related mechanisms that cut across classic diagnoses.

Does the FOA consider that psychopathology-related mechanisms may change over time?

Yes. The FOA notes that mechanisms may shift over time, reflecting developmental change, illness progression, or other dynamic factors.

What is the translational or long-term goal of this research?

NIMH frames the end goal as improving how mental illnesses are classified and treated by establishing which dimensions are separable, which are intertwined, and which share biological substrates, enabling more biologically and behaviorally grounded classification approaches and helping identify treatment targets that may be missed when research is organized strictly around diagnostic labels.

Are clinical trials required?

No. Clinical trials are listed as optional.

Can an application include a clinical trial?

Yes. Because clinical trials are optional, an applicant may propose a study that includes a clinical trial component if it is well-justified and fits the program goals.

What is the listed award ceiling?

The listed award ceiling is $500,000.

What was the original closing date mentioned in the information provided?

The original closing date provided is 2023-09-25.

Should applicants rely only on the date shown here?

No. The information provided notes that applicants should confirm current submission dates and any updates in the official posting and NIH application guides.

Who is eligible to apply in general?

Eligibility is broad and includes state, county, and local governments; public and private institutions of higher education; independent school districts; special district governments; federally recognized Native American tribal governments; tribal organizations (including those other than federally recognized tribal governments); public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding institutions of higher education where specified); for-profit organizations (other than small businesses); and small businesses.

Are minority-serving institutions specifically mentioned as eligible?

Yes. The FOA explicitly highlights eligibility for Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), and Tribally Controlled Colleges and Universities (TCCUs).

Are faith-based or community-based organizations eligible?

Yes. Faith-based or community-based organizations are explicitly listed among eligible applicant categories.

Are U.S. territories or possessions eligible to apply?

Yes. U.S. territories or possessions are listed as eligible applicant categories.

Are foreign (non-U.S.) organizations eligible?

Yes. Non-U.S. entities (foreign organizations) are explicitly included as eligible applicants.

Are tribal governments that are not federally recognized eligible?

Yes. Tribal governments that are not federally recognized are explicitly included among eligible applicant categories.

Why does NIMH emphasize broad eligibility?

The information provided explains that wide eligibility reflects NIMH's interest in drawing from diverse research environments and populations to strengthen the generalizability and real-world relevance of findings.

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