Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R01) | PAR 17 466

Opportunity Information: Apply for PAR 17 466

The National Institutes of Health (NIH) funding opportunity titled "Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R01)" (Funding Opportunity Number PAR 17 466; CFDA 93.242) supports research aimed at linking coordinated brain activity to real-world behavior and, importantly, testing whether deliberately changing these neural dynamics can improve cognitive, emotional, or social functioning. The premise behind the program is that healthy brain function often depends on precisely timed coordination across neural circuits, expressed through measurable electrophysiological features such as neural oscillations (brain rhythms), interactions between rhythms at different frequencies (cross-frequency coupling), relationships between spike timing and oscillation phase (spike-phase coupling), and coordinated activity across neuron populations. Because many neuropsychiatric disorders involve cognitive, affective, or social symptoms, the FOA encourages projects that treat these temporal coordination patterns as potential targets or mechanisms for therapeutic development.

A central requirement is that proposed studies must go beyond observation and include active, experimental manipulations during behavior. In other words, applications should not only measure brain rhythms or neural synchrony while animals or humans perform tasks; they should directly perturb or modify specific electrophysiological patterns and then test whether those changes produce measurable improvements in cognition, emotion-related processing, or social behavior. The emphasis on causal tests is a defining feature of this opportunity, reflecting a goal of moving the field from correlational biomarkers toward mechanistic, intervention-relevant knowledge.

The FOA highlights four main research directions, and applicants are expected to address at least one, ideally more than one, depending on the scope of the project. First, investigators can focus on identifying which specific parameters of neural coordination actually matter for behavior when manipulated in isolation. This can include testing how changing oscillatory power, frequency, phase alignment, synchrony between brain regions, cross-frequency coupling strength, or spike timing relationships affects targeted domains such as working memory, attention, reward processing, emotion regulation, social communication, or related constructs. The point is to isolate candidate features of coordinated neural activity and determine which ones are causally linked to improvements in specific behavioral outcomes.

Second, the FOA encourages studies that connect biological abnormalities at lower levels of analysis to large-scale systems coordination during behavior. This direction asks how genomic, molecular, or cellular disruptions (for example, gene variants, synaptic changes, neurotransmitter alterations, or circuit-level cell-type dysfunction) cascade upward to produce altered coordination of electrophysiological patterns across brain networks. Projects aligned with this topic would typically integrate tools that can probe or model mechanistic links from molecular or cellular perturbations to changes in systems-level timing and synchrony, and then to behavioral effects.

Third, the FOA explicitly supports translational approaches that bridge animal and human research by testing whether systems-level electrophysiological changes observed in behaving animals predict comparable electrophysiological and cognitive improvements in humans, either in healthy participants or in clinical populations. This is essentially a cross-species alignment goal: applicants are encouraged to show that an intervention or manipulation producing an interpretable electrophysiological shift in an animal model has an analogous signature and behavioral relevance in humans. This can strengthen the rationale that a neural coordination target is not just an animal-specific phenomenon but a mechanistically meaningful lever for human cognition and behavior.

Fourth, applicants can propose biologically realistic computational modeling that incorporates systems-level features to explain how oscillations and other electrophysiological patterns emerge and interact across the brain, and how those patterns influence cognitive, affective, or social processing. This is not purely abstract modeling; the intent is to use models constrained by biology and systems neuroscience data to clarify mechanisms, generate testable predictions, and help interpret how coordinated activity unfolds across brain regions and timescales. Strong applications in this area typically connect modeling directly to empirical manipulation and measurement, using simulations to guide interventions and interpret outcomes rather than treating modeling as a standalone exercise.

The funding mechanism is an R01, meaning it is designed for mature, hypothesis-driven projects with substantial scope, typically involving multiple aims and a well-developed approach. The FOA notes a companion opportunity using the R21 mechanism for shorter, higher-risk projects, positioning this R01 call as the pathway for more extensive programs of research with stronger preliminary grounding or a clear, rigorous plan for causal testing. The opportunity falls under the NIH discretionary grant category in the health domain.

Eligibility is broad and includes many organization types that commonly apply for NIH research grants, such as public and private institutions of higher education, nonprofits (with or without 501(c)(3) status), for-profit organizations (other than small businesses), small businesses, and various levels of government entities (state, county, city/township, special district), as well as independent school districts and public housing authorities/Indian housing authorities. It also explicitly welcomes a wide range of other eligible applicants, including Alaska Native and Native Hawaiian Serving Institutions, AANAPISI institutions, Hispanic-serving institutions, Historically Black Colleges and Universities, Tribally Controlled Colleges and Universities, tribal governments (including those other than federally recognized), eligible federal agencies, faith-based or community-based organizations, U.S. territories or possessions, and non-U.S. (foreign) entities and regional organizations. This breadth signals NIH interest in expanding participation and supporting diverse institutional contexts capable of contributing to the science.

Key administrative details from the source information include the NIH as the sponsoring agency, the FOA number PAR 17 466, a creation date of August 31, 2017, and an original closing date of January 2, 2018. The listed award ceiling and expected number of awards are not specified in the provided data, which is not unusual for NIH announcements where budgets are generally determined by project needs, NIH policies, and institute-specific funding decisions rather than a single fixed ceiling.

Overall, the program is focused on making coordinated neural dynamics actionable: identifying which timing-based neural features matter, understanding how biological disruptions alter those features, testing whether modifying them can improve behavior, and building cross-species and computational frameworks that make the resulting knowledge more predictive and clinically relevant.

• 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 (R01)" 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.)
• 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 17 466

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