Opportunity Information: Apply for PAR 14 158

  • The National Institutes of Health in the health sector is offering a public funding opportunity titled "Temporal Dynamics of Neurophysiological Patterns as Potential Targets for Treating Cognitive Deficits in Brain Disorders (R21)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242 Mental Health Research Grants 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders.
  • This funding opportunity was created on Mar 14, 2014 and posted on Mar 14, 2014.
  • Applicants must submit their applications by May 7, 2017. (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: 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 Special district governments Others (see text field entitled Additional Information on Eligibility for clarification) State governments County governments City or township governments Public and State controlled institutions of higher education For profit organizations other than small businesses Native American tribal governments (Federally recognized) Independent school districts Small businesses Public housing authorities/Indian housing authorities Private institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments).
  • 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) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are not eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.
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Opportunity Summary:

The NIH grant opportunity PAR-14-158, titled "Temporal Dynamics of Neurophysiological Patterns as Potential Targets for Treating Cognitive Deficits in Brain Disorders (R21)," focuses on a translational idea: many cognitive functions appear to rely on specific, time-structured patterns of brain activity, and those patterns may be directly modifiable in ways that produce measurable cognitive benefits. Rather than treating cognition as an abstract psychological outcome alone, this program treats cognition as something supported by identifiable neurophysiological dynamics such as oscillatory rhythms (for example theta, beta, gamma activity), cross-frequency coupling (how rhythms at different frequencies interact), spike timing relationships (including phase locking of spikes to ongoing rhythms), coordinated population activity, and related temporal signatures across neural circuits. The central goal is to encourage early-stage, high-impact studies that actively manipulate these electrophysiological patterns during behavior to test whether doing so can improve cognitive performance, especially in the context of neuropsychiatric and neurological disorders where cognition is often impaired.

A key feature of the announcement is its emphasis on causal tests, not just observation. Applicants are expected to use experimental designs that include active manipulations of neural dynamics while animals or humans perform behavioral tasks that index cognition. The program description points to the idea that if particular patterns of neural coordination are not merely correlated with cognition but are actually driving it, then deliberately changing those patterns in real time, or in a targeted way, should change cognitive outcomes. This could include interventions that alter oscillations or synchrony, modify timing relationships across brain regions, or reshape circuit-level dynamics, with the end goal of identifying mechanistically grounded therapeutic targets for cognitive enhancement in brain disorders.

The initiative highlights four main research directions that proposals should address, ideally covering more than one. First, in behaving animals, researchers are encouraged to isolate specific parameters of neural coordination and test which ones, when selectively manipulated, improve particular components of cognition. This invites careful experimental dissection: rather than broadly stimulating a region and hoping cognition improves, the intention is to pinpoint which aspects of coordination matter (for example phase alignment between areas, strength of coupling across bands, or timing precision within ensembles) and link each parameter to defined cognitive operations like working memory, attention, cognitive flexibility, or learning.

Second, the opportunity encourages studies in animals or humans that connect cellular or molecular abnormalities to disruptions in systems-level coordination during behavior. The announcement gives receptor dysfunction as an example, but the broader idea is to bridge levels of analysis: show how a molecular change (such as altered receptor signaling, channel function, or synaptic mechanisms) leads to abnormal temporal dynamics (such as altered rhythm generation or impaired coupling) and how those dynamics relate to cognitive deficits. This is meant to support mechanistic explanations that can guide intervention strategies, potentially informing pharmacologic or neuromodulatory approaches by clarifying what is going wrong in the circuitry when specific molecular pathways are altered.

Third, the program seeks work that links systems-level electrophysiological changes in behaving animals to analogous changes and cognitive improvements in humans, including both healthy participants and clinical populations. This reflects a translational benchmark: if an intervention improves cognition in an animal model by shifting a circuit dynamic in a specific direction, the initiative is interested in whether that same kind of shift can be observed in humans and whether it tracks cognitive benefit. In practice, this could involve identifying electrophysiological biomarkers that generalize across species or experimental contexts, improving confidence that the targeted temporal pattern is a meaningful and potentially actionable treatment target rather than a model-specific artifact.

Fourth, applicants are encouraged to use systems-level computational modeling to develop principled accounts of how oscillatory and other temporal dynamic patterns arise and how they influence cognition across distributed brain networks, including both cortical and subcortical structures. The emphasis here is on models that do more than describe data; the aim is to explain function and mechanism, generating testable predictions about how patterns propagate, how multiple regions coordinate, and why certain temporal organizations support particular cognitive computations. This can help guide experimental manipulation strategies, interpret complex electrophysiological datasets, and clarify which features of neural dynamics are likely to be robust targets for intervention.

Administratively, this is an NIH discretionary grant opportunity using the R21 funding mechanism, which is typically meant for exploratory or developmental projects that can open new directions, establish feasibility, or generate strong preliminary evidence for a novel approach. The listed award ceiling is $200,000, and there is no cost sharing or matching requirement. The opportunity falls under health-related funding activity categories and is associated with CFDA numbers 93.242 (Mental Health Research Grants) and 93.853 (Extramural Research Programs in the Neurosciences and Neurological Disorders). The opportunity was posted and created on March 14, 2014, with an original and current closing date of May 7, 2017, and it was archived on June 7, 2017, meaning it is no longer accepting applications under that announcement version.

Eligibility is broad across U.S.-based organizations and includes public and private institutions of higher education, nonprofits (including 501(c)(3) and non-501(c)(3) entities), for-profit organizations other than small businesses (with small businesses also listed as eligible), state and local governments, special district governments, independent school districts, public housing authorities/Indian housing authorities, and federally recognized tribal governments as well as other tribal organizations. The announcement also explicitly includes various institution types and community-oriented organizations such as HBCUs, Hispanic-serving institutions, tribally controlled colleges and universities, Alaska Native and Native Hawaiian serving institutions, and faith-based or community-based organizations, among others. At the same time, non-U.S. entities are not eligible to apply, non-U.S. components of U.S. organizations are not eligible, and foreign components are not allowed as defined by NIH policy, keeping the work domestically anchored even if it has broad translational relevance.

Overall, PAR-14-158 is aimed at moving the field from recognizing that brain rhythms and coordinated neural timing correlate with cognition to demonstrating which temporal dynamics are causal, how disease-relevant molecular disruptions alter those dynamics, how animal findings can map onto human biomarkers and outcomes, and how computational models can unify these observations into a coherent mechanistic framework that supports new therapeutic development for cognitive deficits.

FAQs: NIH PAR-14-158 (R21) - Temporal Dynamics of Neurophysiological Patterns and Cognitive Deficits

What is NIH PAR-14-158 (R21) about?

PAR-14-158 is an NIH grant opportunity focused on whether specific time-structured patterns of brain activity can be directly manipulated to improve cognitive performance. The core idea is translational: if oscillations, synchrony, cross-frequency coupling, spike timing, and other temporal coordination patterns are not just correlated with cognition but actually help drive it, then changing those patterns should produce measurable cognitive benefits, particularly in brain disorders where cognition is impaired.

What kinds of brain activity patterns does this opportunity emphasize?

The announcement highlights neurophysiological dynamics such as oscillatory rhythms (e.g., theta, beta, gamma activity), cross-frequency coupling (interactions between rhythms at different frequencies), spike timing relationships (including phase locking of spikes to rhythms), coordinated population activity, and other temporal signatures observed across neural circuits.

What is the main scientific goal of the program?

The central goal is to support early-stage, high-impact studies that actively manipulate electrophysiological patterns during behavior to test whether those manipulations can improve cognition. The broader purpose is to identify mechanistically grounded, potentially therapeutic targets for treating cognitive deficits in neuropsychiatric and neurological disorders.

Does the program prioritize causal experiments or observational studies?

It prioritizes causal tests. The opportunity explicitly emphasizes experimental designs that include active manipulations of neural dynamics while animals or humans perform cognitive tasks, rather than studies that only observe correlations between neural activity and behavior.

What does "active manipulation" mean in this context?

Within the scope of the description, "active manipulation" refers to deliberately changing temporal neural patterns (such as oscillations, synchrony, coupling between frequencies, or timing relationships across regions) during behavior to see whether cognition changes as a result.

What types of cognitive outcomes are relevant to this opportunity?

The announcement points to defined components of cognition such as working memory, attention, cognitive flexibility, and learning as examples of cognitive operations that could be linked to specific parameters of neural coordination.

What are the main research directions encouraged by PAR-14-158?

The initiative highlights four directions that proposals should address, ideally covering more than one: (1) isolating and selectively manipulating specific parameters of neural coordination in behaving animals to test which parameters improve cognition; (2) connecting cellular or molecular abnormalities to disruptions in systems-level coordination during behavior (in animals or humans); (3) linking systems-level electrophysiological changes in behaving animals to analogous changes and cognitive improvements in humans (including healthy participants and clinical populations); and (4) using systems-level computational modeling to explain how temporal dynamic patterns arise and influence cognition across distributed brain networks.

Is animal research specifically included?

Yes. One highlighted direction explicitly focuses on behaving animals, encouraging researchers to isolate parameters of neural coordination and test which ones, when selectively manipulated, improve specific cognitive components.

Are human studies included as well?

Yes. The opportunity encourages studies in animals or humans that connect molecular/cellular abnormalities to disrupted coordination, and it also encourages translational work linking animal electrophysiological changes to analogous changes and cognitive improvements in humans, including both healthy participants and clinical populations.

What does the program mean by "parameters of neural coordination"?

Examples given or implied include phase alignment between areas, strength of coupling across frequency bands, timing precision within ensembles, synchrony across regions, and other measurable features of coordinated neural timing that could be selectively manipulated and tied to cognitive operations.

How does the opportunity connect molecular mechanisms to cognitive deficits?

One encouraged direction is to bridge levels of analysis by showing how a cellular or molecular change (for example, receptor dysfunction) leads to abnormal temporal dynamics (such as altered rhythm generation or impaired coupling) during behavior, and how those dynamics relate to cognitive deficits. The intent is to build mechanistic explanations that can guide interventions.

What does "translational" mean for this funding announcement?

In this context, translational means moving from mechanistic understanding of temporal neural dynamics (often developed in animal models) toward targets, biomarkers, and intervention-relevant signatures that can map onto human measures and cognitive outcomes, strengthening the case for therapeutic development.

What is the cross-species emphasis described in the announcement?

The opportunity seeks work that links systems-level electrophysiological changes in behaving animals to analogous changes in humans, with cognitive improvement as a key outcome. The aim is to identify electrophysiological biomarkers or signatures that generalize across species and are not limited to a single model or experimental context.

What role does computational modeling play in PAR-14-158?

Systems-level computational modeling is encouraged to develop principled, mechanistic accounts of how oscillatory and other temporal dynamic patterns arise and how they influence cognition across distributed brain networks, including cortical and subcortical structures. The emphasis is on models that explain function and generate testable predictions, not models that only summarize data.

What grant mechanism is used for this opportunity?

This opportunity uses the NIH R21 mechanism, which is designed for exploratory or developmental projects that can establish feasibility, open new directions, or generate strong preliminary evidence for novel approaches.

What is the award ceiling for PAR-14-158?

The listed award ceiling is $200,000.

Is cost sharing or matching required?

No. The opportunity states there is no cost sharing or matching requirement.

What funding categories and CFDA numbers are associated with this opportunity?

It falls under health-related funding activity categories and is associated with CFDA 93.242 (Mental Health Research Grants) and CFDA 93.853 (Extramural Research Programs in the Neurosciences and Neurological Disorders).

When was this opportunity posted and when did it close?

The opportunity was posted and created on March 14, 2014. The original and current closing date listed is May 7, 2017.

Is PAR-14-158 still accepting applications?

No. The announcement was archived on June 7, 2017, and is no longer accepting applications under that announcement version.

Who is eligible to apply?

Eligibility is broad for U.S.-based organizations, including public and private institutions of higher education; nonprofits (both 501(c)(3) and non-501(c)(3)); for-profit organizations (with small businesses also listed as eligible); state and local governments; special district governments; independent school districts; public housing authorities/Indian housing authorities; federally recognized tribal governments; and other tribal organizations. The announcement also explicitly includes institution types such as HBCUs, Hispanic-serving institutions, tribally controlled colleges and universities, Alaska Native and Native Hawaiian serving institutions, and faith-based or community-based organizations, among others.

Are non-U.S. (foreign) entities eligible to apply?

No. Non-U.S. entities are not eligible to apply.

Can a U.S. organization apply if it has a non-U.S. component?

No. Non-U.S. components of U.S. organizations are not eligible, and foreign components are not allowed as defined by NIH policy, which keeps the work domestically anchored under this announcement.

What makes a proposal a good fit based on the description?

Based on the opportunity description, a strong fit would include experimental work that manipulates specific temporal neural dynamics during cognitive behavior to test causality, ideally while also addressing one or more of the highlighted translational directions (linking molecular disruptions to systems-level dynamics, mapping animal signatures to human biomarkers and cognitive improvements, and/or using computational models to generate mechanistic predictions).

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Previous opportunity: Temporal Dynamics of Neurophysiological Patterns as Potential Targets for Treating Cognitive Deficits in Brain Disorders (R01)

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