Opportunity Information: Apply for PAR 17 463
Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R21) is a National Institutes of Health (NIH) funding opportunity focused on the idea that healthy cognition, emotion, and social behavior depend on well-coordinated patterns of brain activity over time. The program is built around strong evidence that neural coordination, including oscillatory rhythms, cross-frequency coupling (how different frequency bands interact), spike-phase relationships (how neuronal firing aligns with ongoing rhythms), and population-level firing dynamics, is tightly linked to how effectively the brain performs complex functions. Because many neuropsychiatric disorders involve disruptions in these coordinated dynamics, the opportunity is aimed at projects that can move beyond observation and directly test whether changing these electrophysiological patterns during behavior can lead to measurable improvements in cognitive, affective, or social processing. In practical terms, the FOA encourages studies that treat neural timing and coordination as potentially actionable targets for therapy development rather than just biomarkers.
A central requirement is that proposed research uses experimental designs with active manipulations, meaning applicants should not simply record neural activity and correlate it with behavior. Instead, studies should perturb or modify neural coordination and evaluate causal effects on behavior and/or symptoms. The FOA highlights several categories of research questions, and applications are expected to address at least one, ideally more than one. One priority area is identifying which specific parameters of neural coordination matter for particular functions when altered in isolation. For example, a project might systematically change the strength, timing, phase alignment, or coupling of rhythms in a circuit during task performance to see which components improve working memory, emotion regulation, reward learning, or social inference. The emphasis on isolating parameters reflects an interest in mechanistic clarity: what exactly should a future intervention aim to modify, and what outcome does that modification produce?
A second encouraged direction connects biological disruptions at smaller scales to circuit-level coordination during real behavior. Here, the FOA is interested in how genomic, molecular, or cellular abnormalities translate into systems-level electrophysiological coordination problems. A strong application in this category might examine how a risk gene variant, altered synaptic receptor function, interneuron dysfunction, or developmental manipulation affects network synchrony, oscillatory coupling, or spike timing during cognitive or social tasks. The goal is to bridge levels of analysis, linking causal biological changes to the kinds of large-scale timing disruptions that could be targeted by neuromodulation, pharmacology, or combined approaches.
A third theme is translational predictability: whether electrophysiological changes observed in behaving animals can forecast analogous electrophysiological and cognitive improvements in humans, including healthy participants and clinical populations. The intent is to encourage a clearer pathway from preclinical mechanistic work to human relevance. Projects aligned with this aim might establish electrophysiological signatures in animal models that can be measured in humans using comparable methods (such as EEG/MEG/LFP analogs), then test whether interventions that normalize these signatures also improve performance or symptoms. This supports the development of cross-species markers and intervention targets, reducing the gap between animal circuit discoveries and human therapeutic strategies.
A fourth area invites the use of biologically realistic computational models that incorporate systems-level features to explain how these electrophysiological patterns emerge, spread across brain networks, and influence behavior. Rather than abstract models that ignore physiology, the FOA emphasizes models grounded in plausible neural architecture and dynamics. Such models could be used to test hypotheses about mechanisms of oscillation generation, coupling between regions, stability of coordinated states, and how interventions (stimulation, pharmacologic modulation, closed-loop control) might reshape network timing to produce functional gains. Computational work is positioned as a way to clarify mechanism, generate predictions, and guide experimental manipulations.
This opportunity uses the NIH R21 mechanism, which is designed for exploratory and developmental projects. That typically means shorter-duration, higher-risk studies intended to open new lines of inquiry, generate proof-of-concept evidence, or develop novel methods and preliminary mechanistic insights. The FOA explicitly contrasts this R21 with a companion opportunity using the R01 mechanism, which generally supports more mature, extensive projects. The R21 format is therefore a good fit for innovative manipulation approaches, early-stage translational tests, or new computational-experimental frameworks that may not yet have extensive preliminary data.
The opportunity is listed as a discretionary grant in the health funding category under CFDA 93.242, administered by NIH, with Funding Opportunity Number PAR-17-463. The source information includes an award ceiling of $200,000. A wide range of organizations are eligible to apply, spanning many public and private sectors. Eligible applicants include state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status; for-profit organizations other than small businesses; small businesses; and additional categories. The FOA also explicitly notes inclusion of entities such as 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. (foreign) organizations. This broad eligibility is meant to encourage diverse institutional participation and multidisciplinary teams.
Overall, the grant opportunity is centered on causally testing how changing the timing and coordination of neural activity affects cognition, emotion, and social behavior, and on using those findings to inform therapeutic development for neuropsychiatric symptoms. The strongest proposals under this FOA would typically combine rigorous behavioral assays with direct manipulation of neural dynamics, link circuit-level timing patterns to underlying biology and/or translational markers, and, where relevant, use computational modeling to explain mechanisms and sharpen predictions about what to change in the brain to improve function.Apply for PAR 17 463
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R21)" 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 2017-08-31.
- Applicants must submit their applications by 2018-01-02. (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 $200,000.00 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.
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Frequently Asked Questions (FAQs)
What is the "Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R21)" opportunity?
This is a National Institutes of Health (NIH) funding opportunity that supports research on how well-coordinated patterns of brain activity over time contribute to cognition, emotion, and social behavior, and whether deliberately changing those patterns during behavior can produce measurable improvements in function and/or symptoms relevant to neuropsychiatric disorders.
What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number listed is PAR-17-463.
Which NIH grant mechanism does this opportunity use?
This opportunity uses the NIH R21 mechanism, which is designed for exploratory and developmental projects.
How is an R21 different from an R01 in the context of this program?
The R21 is positioned for shorter-duration, higher-risk, exploratory work such as proof-of-concept studies, early-stage translational tests, novel manipulation methods, or new computational-experimental frameworks that may not yet have extensive preliminary data. The program description contrasts this with a companion R01 opportunity, which generally supports more mature and extensive projects.
What is the core scientific focus of this FOA?
The core focus is on coordinated neural timing and dynamics (for example, oscillatory rhythms, cross-frequency coupling, spike-phase relationships, and population-level firing dynamics) and how these patterns support complex brain functions. The FOA is aimed at moving beyond observation to test whether changing these electrophysiological patterns during behavior can causally improve cognitive, affective, or social processing.
Does this FOA prioritize causal tests rather than correlational studies?
Yes. A central requirement is the use of experimental designs with active manipulations. Projects should not only record neural activity and correlate it with behavior; they should perturb or modify neural coordination and evaluate causal effects on behavior and/or symptoms.
What kinds of neural coordination patterns are emphasized in the description?
The description highlights coordinated dynamics such as oscillatory rhythms, cross-frequency coupling (interactions between frequency bands), spike-phase relationships (alignment of neuronal firing with ongoing rhythms), and population-level firing dynamics.
How does this FOA relate to neuropsychiatric disorders?
Many neuropsychiatric disorders involve disruptions in coordinated neural dynamics. This FOA is aimed at projects that test whether modifying these disrupted electrophysiological coordination patterns during behavior can lead to measurable improvements in domains such as cognition, affect, or social processing, with the longer-term intent of informing therapeutic development.
What does the FOA mean by treating neural coordination as an "actionable target"?
The FOA frames neural timing and coordination as potential targets for intervention development rather than only biomarkers. In other words, the goal is to identify aspects of neural dynamics that, when changed, produce beneficial functional outcomes.
What are the main research question areas encouraged by this FOA?
The FOA highlights several categories of research questions. Applications are expected to address at least one, and ideally more than one, of these areas: (1) isolating which specific parameters of neural coordination matter for particular functions, (2) linking genomic/molecular/cellular disruptions to circuit-level coordination during behavior, (3) testing translational predictability across animals and humans, and (4) using biologically realistic computational models to explain and predict coordinated dynamics and intervention effects.
What does it mean to "isolate parameters" of neural coordination?
It refers to systematically changing specific features of coordination (for example, strength, timing, phase alignment, or coupling of rhythms within a circuit during task performance) to determine which component changes produce improvements in outcomes such as working memory, emotion regulation, reward learning, or social inference.
What outcomes or functional domains are explicitly mentioned?
The description mentions cognitive outcomes (for example, working memory), affective outcomes (for example, emotion regulation), reward learning, and social inference, along with broader references to cognitive, affective, and social processing.
How does this FOA encourage bridging from genes and cells to circuit dynamics?
One encouraged direction is connecting smaller-scale biological disruptions (genomic, molecular, cellular) to circuit-level coordination during real behavior. Example causal factors mentioned include risk gene variants, altered synaptic receptor function, interneuron dysfunction, or developmental manipulations, examined for their effects on network synchrony, oscillatory coupling, or spike timing during tasks.
What does the FOA mean by "translational predictability"?
It refers to whether electrophysiological changes measured in behaving animals can forecast analogous electrophysiological and cognitive improvements in humans, including healthy participants and clinical populations. The intent is to strengthen the pathway from mechanistic preclinical findings to human relevance.
Are cross-species electrophysiological markers part of the FOA's intent?
Yes. The description supports developing electrophysiological signatures in animal models that can also be measured in humans using comparable methods, and then testing whether interventions that normalize these signatures improve performance or symptoms.
What human-relevant measurement approaches are referenced?
The description references comparable methods across species such as EEG/MEG/LFP analogs (as examples of approaches to measure electrophysiological signatures in ways that can translate between animals and humans).
Does this FOA support computational modeling?
Yes. One theme invites biologically realistic computational models that incorporate systems-level features to explain how electrophysiological patterns emerge, spread across networks, and influence behavior, and to guide experimental manipulations.
What kinds of computational models are emphasized?
The emphasis is on models grounded in plausible neural architecture and dynamics (rather than abstract models that ignore physiology). The description suggests these models could address oscillation generation, coupling between regions, stability of coordinated states, and predicted effects of interventions on network timing.
What types of interventions or manipulations are mentioned as examples?
The description mentions interventions such as stimulation, pharmacologic modulation, and closed-loop control as examples of approaches that might reshape network timing to produce functional gains, within the FOA's overall requirement for active manipulation.
What is the funding category and assistance listing information provided?
The opportunity is described as a discretionary grant in the health funding category under CFDA 93.242, administered by NIH.
What is the award ceiling listed in the provided information?
The source information includes an award ceiling of $200,000.
Who is the administering agency?
The administering agency is the National Institutes of Health (NIH).
What types of organizations are eligible to apply?
The eligibility list is broad and includes: state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status; for-profit organizations other than small businesses; small businesses; and additional categories.
Are minority-serving institutions and specific community-based entities explicitly included?
Yes. The FOA explicitly notes inclusion of Alaska Native and Native Hawaiian Serving Institutions, AANAPISIs, Hispanic-serving Institutions, HBCUs, TCCUs, faith-based or community-based organizations, eligible federal agencies, U.S. territories or possessions, regional organizations, and non-U.S. (foreign) organizations.
Are foreign (non-U.S.) organizations eligible based on the provided text?
Yes. The eligibility description explicitly includes non-U.S. (foreign) organizations.
What makes a proposal especially well-aligned with this FOA based on the description?
The description suggests strong proposals would typically: combine rigorous behavioral assays with direct manipulation of neural dynamics; link circuit-level timing patterns to underlying biology and/or translational markers; and, when relevant, use computational modeling to explain mechanisms and generate predictions about what to change in the brain to improve function.
Is it acceptable to submit a project that only measures neural activity without manipulating it?
Based on the provided information, purely observational designs (recording and correlating neural activity with behavior) are not the priority. The FOA requires active manipulations that perturb or modify neural coordination and test causal effects.
Does the FOA imply applicants should address multiple research themes?
The text indicates applications are expected to address at least one of the highlighted research question categories, and ideally more than one.
What is the overarching goal of the program described?
The overall goal is to causally test how changing the timing and coordination of neural activity affects cognition, emotion, and social behavior, and to use those findings to inform therapeutic development for neuropsychiatric symptoms.
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