Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R21) | PAR 17 463

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.

• 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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