RFA-NS-27-002-Full-Announcement.html
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- BRAIN Initiative: Integrative Team-Research BRAIN Circuits Program - iBCP (RM1 Clinical Trial Not Allowed)
- Opportunity number
- RFA-NS-27-002
About this file
This is a Notice of Funding Opportunity (NOFO) for the BRAIN Initiative: Integrative Team-Research BRAIN Circuits Program (iBCP), issued by the National Institutes of Health through the National Institute of Neurological Disorders and Stroke (NINDS) and ten co-funding institutes and centers. The program solicits applications from transdisciplinary research teams of 3-6 Program Directors/Principal Investigators (PDs/PIs) to develop mechanistic, biologically grounded explanations of how neural circuits and their cellular components give rise to central nervous system function. Applications must explicitly integrate three core elements: characterization of circuit components (cell types and connectivity), measurement of dynamic circuit activity using in vivo CNS recordings at cellular and sub-second temporal resolution, and analyses of tractable behavior or functional output. The program posted on August 31, 2026, with an open date of September 7, 2026. Application deadlines occur on October 7, 2026 (for March 2027 review), November 11, 2026 (for June 2027 review), and February 9, 2027 (for September 2027 review), with no late applications accepted. NIH intends to commit up to $8 million per fiscal year to fund up to 5 awards, with anticipated direct costs not exceeding $1 million per award per year. The maximum project period is 5 years. Award types are limited to new applications only; clinical trials are not allowed. The earliest start date is June 23, 2027.
Eligible applicants include higher education institutions, nonprofits, for-profit organizations, state and local governments, and foreign components of U.S. organizations (but not independent foreign organizations). Applications must comply with all instructions in the NIH How to Apply - Application Guide, with program-specific requirements including: Research Strategy limited to 15 pages (consisting of Scientific Plan, Benchmarks for Success and Timeline, and Multi-Level Integration and Team Management Plan); a single Specific Aim; required participation in BRAIN consortia activities; a dedicated Program Manager at minimum 50% FTE; co-mentorship activities; and a Data Management and Sharing Plan. Budget allocations must include costs for team coordination, travel to BRAIN conferences, data sharing, resource allocation across institutions, and professional data science staff. All PDs/PIs must have eRA Commons accounts and ORCID registration. Applicants must complete System for Award Management (SAM) registration, obtain a Unique Entity Identifier (UEI), and register with Grants.gov and eRA Commons prior to submission. Applications undergo scientific peer review by an appropriate Scientific Review Group convened by the Center for Scientific Review, followed by secondary review by the National Advisory Neurological Disorders and Stroke Council. Review criteria include Significance, Investigator qualifications, Innovation, and Approach, with specific emphasis on explicit integration across the three required levels of analysis and the feasibility of delivering mechanistic insights achievable only through the team-based, multi-level approach. The program is part of the NIH BRAIN Initiative and is cross-funded by the National Eye Institute (NEI), National Institute on Aging (NIA), National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institute of Biomedical Imaging and Bioengineering (NIBIB), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institute on Deafness and Other Communication Disorders (NIDCD), National Institute on Drug Abuse (NIDA), National Institute of Mental Health (NIMH), and National Center for Complementary and Integrative Health (NCCIH), with possible co-funding from the Office of Behavioral and Social Sciences Research (OBSSR).
RFA-NS-27-002-Full-Announcement.html
Text of this file
Department of Health and Human Services
Part 1. Overview Information
Participating Organization(s)
National Institutes of Health (NIH)
Components of Participating Organizations
NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE (NINDS)
National Eye Institute (NEI)
National Institute on Aging (NIA)
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
National Institute on Deafness and Other Communication Disorders (NIDCD)
National Institute on Drug Abuse (NIDA)
National Institute of Mental Health (NIMH)
National Center for Complementary and Integrative Health (NCCIH)
All applications to this funding opportunity announcement should fall within the mission of the Institutes/Centers. The following NIH Offices may co-fund applications assigned to those Institutes/Centers.
Office of Behavioral and Social Sciences Research (OBSSR)
Funding Opportunity Title
BRAIN Initiative: Integrative Team-Research BRAIN Circuits Program - iBCP (RM1 Clinical Trial Not Allowed)
Activity Code
RM1 Research Project with Complex Structure
Announcement Type
Reissue of
RFA-NS-22-028
Related Notices
Check for any recent Notices of NIH Policy Changes that may impact application requirements.
Funding Opportunity Number (FON)
RFA-NS-27-002
Companion Funding Opportunity
None
Number of Applications
See Section III. 3. Additional Information on Eligibility.
Assistance Listing Number(s)
93.372, 93.853, 93.286, 93.173, 93.279, 93.865, 93.242, 93.213, 93.866, 93.273, 93.867
Funding Opportunity Purpose
This Notice of Funding Opportunity (NOFO) supports transdisciplinary research teams seeking to develop mechanistic, biologically grounded explanations of how neural circuits and their cellular building blocks give rise to central nervous system (CNS) function. Teams must integrate expertise spanning molecular and cellular through systems neuroscience, with strong collaboration between experimental and computational investigators, to bridge cells, circuits, and behavior in a unified framework that yields mechanistic insight.
Applications must explicitly connect three core elements: (1) characterization of circuit components (e.g., cell types and/or connectivity); (2) measurement of dynamic circuit activity, incorporating in vivo CNS recordings at cellular and sub-second temporal resolution; and (3) analyses of a tractable behavior or functional output.
To address this significant challenge in neuroscience, proposed studies are expected to leverage innovative conceptual or theoretical frameworks, predictive models, and/or cutting-edge approaches that unify these three levels of analysis and bridge experimental and computational components.
Recipients are expected to participate in BRAIN consortia activities to identify standards of practice towards multi-level integration.
Funding Opportunity Goal(s)
To provide extramural research support for the Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative's aim of revolutionizing our understanding of the brain and its function in unprecedented detail. The NIH BRAIN Initiative's focus is foundational development of new technologies and tools to map, monitor, and modulate brain circuits in model systems and humans – toward the ultimate goal of treating and curing human brain disorders.
Key Dates
Posted Date
August 31, 2026
Open Date (Earliest Submission Date)
September 07, 2026
| Application Due Dates |
| Review and Award Cycles |
| New |
| Renewal / Resubmission / Revision (as allowed) |
| AIDS - New/Renewal/Resubmission/Revision, as allowed |
| Scientific Merit Review |
| Advisory Council Review |
| Earliest Start Date |
October 07, 2026
Not Applicable
Not Applicable
| March 2027 | |
| May 2027 |
July 2027
June 23, 2027
Not Applicable
Not Applicable
| November 2027 | |
| January 2028 |
April 2028
June 23, 2028
Not Applicable
Not Applicable
| November 2028 | |
| January 2029 |
April 2029
All applications are due by 5:00 PM local time of applicant organization.
Applicants are encouraged to apply early to allow adequate time to make any corrections to errors found in the application during the submission process by the due date.
No late applications will be accepted for this Notice of Funding Opportunity (NOFO).
Expiration Date
June 24, 2028
Due Dates for E.O. 12372
Not Applicable
Required Application Instructions
It is critical that applicants follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide, except where instructed to do otherwise (in this NOFO or in a Notice from NIH Guide for Grants and Contracts).
Conformance to all requirements (both in the How to Apply - Application Guide and the NOFO) is required and strictly enforced. Applicants must read and follow all application instructions in the How to Apply - Application Guide as well as any program-specific instructions noted in Section IV. When the program-specific instructions deviate from those in the How to Apply - Application Guide, follow the program-specific instructions.
Applications that do not comply with these instructions may be delayed or not accepted for review.
| There are several options available to submit your application through Grants.gov to NIH and Department of Health and Human Services partners. You must use one of these submission options to access the application forms for this opportunity. | |
| Use the NIH ASSIST system to prepare, submit and track your application online. | |
| Use an institutional system-to-system (S2S) solution to prepare and submit your application to Grants.gov and eRA Commons to track your application. Check with your institutional officials regarding availability. | |
| Use Grants.gov Workspace to prepare and submit your application and eRA Commons to track your application. |
Table of Contents
Part 1. Overview Information Key Dates Part 2. Full Text of Announcement Section I. Notice of Funding Opportunity Description Section II. Award Information Section III. Eligibility Information Section IV. Application and Submission Information Section V. Application Review Information Section VI. Award Administration Information Section VII. Agency Contacts Section VIII. Other Information
Part 2. Full Text of Announcement
Section I. Notice of Funding Opportunity Description
BACKGROUND
The BRAIN Initiative Since 2014, the Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative has aimed to accelerate the development and application of innovative neurotechnologies, enabling researchers to produce a new dynamic picture of the brain that reveals how individual cells and complex neural circuits interact in both time and space. It is expected that these advances will ultimately lead to new ways to treat and prevent brain disorders.
As one of several federal agencies involved in the BRAIN Initiative, NIH's contributions to the BRAIN Initiative were initially guided by "BRAIN 2025: A Scientific Vision," a strategic plan that detailed seven high-priority research areas and was updated and enhanced in 2019 to: "The BRAIN Initiative 2.0: From Cells to Circuits, Toward Cures" and "The BRAIN Initiative and Neuroethics: Enabling and Enhancing Neuroscience Advances for Society." This and other BRAIN Initiative Notices of Funding Opportunities (NOFOs) are based on this vision and issued with input from Advisory Councils of the 10 NIH Institutes and Centers supporting the BRAIN Initiative, as assisted by the NIH BRAIN Multi-Council Working Group and Neuroethics Working Group.
The NIH BRAIN Initiative recognizes innovative ideas require creativity, scientific expertise, and experience along with scientific collaboration. There are many benefits that flow from a scientific workforce with team participation including: fostering scientific innovation, enhancing global competitiveness, contributing to robust learning environments, improving the quality of the research, and enhancing public trust.
The BRAIN Initiative requires a high level of coordination and sharing between investigators. It is expected that BRAIN Initiative recipients will cooperate and coordinate their activities after awards are made by participating in Program Director/Principal Investigator (PD/PI) meetings, BRAIN consortia activities, and the BRAIN Initiative Biennial Conference. The data sharing expectations for BRAIN Initiative awards can be found at BRAIN Data Knowledge Resources.
The Integrated BRAIN Circuits Program (iBCP): An Overview The iBCP aims to understand how the nervous system gives rise to mental experience and behavior. A multi-level understanding of central nervous system (CNS) function is essential for identifying critical circuits involved in health and disease, and for advancing our ability to monitor and modulate neural circuits for both basic and translational applications.
Despite rapid advances in molecular, cellular, systems, and computational neuroscience, achieving a comprehensive understanding of brain function remains hindered by persistent methodological, conceptual, and disciplinary barriers within and between different levels of analysis. Technically, for example, fully mapping and interpreting the activity patterns of heterogeneous cell types with sub-millisecond temporal resolution in behaving animals remains a challenge. Conceptually, insights into how cellular heterogeneity and connectivity relate to dynamic neural processes and computations that underpin behavior remain limited. Moreover, scientific progress often occurs in disciplinary silos, hampering integration across levels of analysis.
The BRAIN Initiative fosters cross-disciplinary collaboration, yet transdisciplinary integration that enables, for example, a comprehensive linking of cellular components to circuit function and behavior, remains a major hurdle. While molecular and cellular neuroscience offers detailed "parts lists" and targeted manipulation tools, the role of cellular heterogeneity in complex neural computations is not well understood. Conversely, systems neuroscience provides powerful methods for analyzing population-level dynamics but often lacks the cell-type specificity necessary for mechanistic insight.
The iBCP directly addresses this challenge by emphasizing the need for dynamic circuits- and systems-level investigations that incorporate emerging knowledge and data on circuit components, including cell types and connectivity. As this is a significant challenge in neuroscience, the BRAIN Initiative now seeks to support development of innovative conceptual and theoretical frameworks, and cutting-edge approaches, both experimental and computational, to understand brain function holistically, from its circuit components to behavior output.
Deliverables from this effort are expected to advance our ability to investigate and understand how the CNS encodes, processes, and transmits information across spatial (cell to brain region) and temporal (milliseconds to behavioral timescales) dimensions. These will also lead to mechanistic, biologically grounded explanations of CNS function, ultimately revealing how cellular-level interventions produce circuit- and behavior-level effects and offering new targets and insights for treating dysfunction.
Program Expectations Teams of 3–6 PDs/PIs are expected to combine distinct areas of expertise ranging from molecular and cellular to circuits to systems neuroscience, with strong interactions between experimentalists and computational neuroscientists, to pursue a single Specific Aim of developing mechanistic explanations of how neural circuits give rise to behavior and/or defined CNS functions.
A mechanistic insight is defined as an explanation of how defined circuit components and their dynamic activity and/or interactions causally generate CNS function, yielding predictive and testable hypotheses. To achieve this, applications are expected to explicitly integrate the following three levels of analysis (see Section IV for details on how each of these levels is defined):
| Behavior. Behavior represents the functional output of nervous system activity and provides the essential context for interpreting neural circuit function. Anchoring cellular and circuit-level measurements to a well-defined behavior or clearly defined physiological measures of behavior enables causal links between neural activity, computation, and function, which are critical for understanding both normal brain processes and dysfunction. |
| Circuits. Circuit analysis at the level of population activity during behaviors provides the bridge between cellular properties and behavioral outcomes. This level reveals how neural signals evolve over time, how information flows within and across circuits, and how these dynamics shape behavior. |
| Circuit components. Neural circuits are composed of heterogeneous cell types with distinct roles within networks and characterized by distinct molecular identities, connectivity patterns, morphology, and/or physiological properties. It remains a challenge to identify which and how these components are critical for specific computations or behaviors. |
The approach is expected to be driven by innovative conceptual or theoretical frameworks, predictive models, and/or cutting-edge methodologies that unify these three levels of analysis, bridge experimental and computational components, and use BRAIN-developed tools or resources where appropriate. The scale, complexity, and impact of this effort should reflect the transformative nature of the BRAIN Initiative. A successful program will deliver both mechanistic insights and broadly useful solutions to the challenges of bridging these levels of analysis.
This NOFO welcomes the use of a wide range of species, from invertebrate to human studies, including comparative approaches and the use of new approach methodologies (NAMS), with the requirement that these are chosen based on their power to address the specific question at hand and to reveal generalizable and fundamental principles.
Cross-species approaches to investigate generalizability are welcome. At least one species under study is expected to fully integrate all three levels of analysis (circuit components, dynamic circuit activity, and behavior). Other species may be included even if technical limitations prevent accessing all three levels.
Recipients are expected to actively participate in BRAIN Initiative consortium activities aimed at developing, harmonizing, and disseminating standards of practice that facilitate rigorous multi-level integration across cellular, circuit, and behavioral analyses.
Representative (not exhaustive) examples of integrative neuroscience research responsive to this NOFO:
Topics:
| Elucidating how heterogeneous CNS cell types contribute to the dynamic computations underlying behavior or functional output of the circuit (e.g., sensory, motor, cognition, social behavior, internal state, affective, brain-body physiology). |
| Neural computations underlying distributed representation and information processing across brain regions during cognitive processes. |
| Understanding how behavioral states are emergent properties of the interaction of neurons, circuits, and networks. |
| Understanding the role of interactions between neuronal and non-neuronal cells in shaping neurocircuit function and behavior. |
| Leveraging developmental processes to understand how cell type heterogeneity and circuit formation and organization contribute to function across life stages. |
| Understanding the cellular basis of circuit reconfiguration or plasticity during learning, adaptation, or behavioral state transitions. |
| Modeling flexible, goal-directed, or context-dependent behavior through frameworks that incorporate dynamic cellular contributions and network-level computation. |
Approaches:
| Using comparative or evolutionary approaches to identify conserved circuit motifs or principles across species that inform general rules of CNS function. |
| Using cellular and circuit analyses to generate computational models that are predictive of mechanisms of CNS function and behavior. |
| Developing approaches that bridge across spatial (from single cells to networks) and temporal (from milliseconds to behavioral timescales) scales to understand dynamic neural computations that underlie behavior. |
| Forming connection across levels of abstraction, by bringing mechanistic approaches, causal explanations, and biological constraints to the rich descriptive observations and/or normative models of brain function |
| Developing generalizable analytic or modeling tools that can be applied across systems to facilitate integrative, multi-level analyses. |
| Combining cutting-edge tools (e.g., multi-area imaging, electrophysiology, optogenetics, connectomics, single-cell omics) to relate cellular identity with circuit dynamics and behavior. |
| Leveraging disease-related perturbations to provide mechanistic insights into normal CNS function and behavior. |
Consultation with relevant Program Staff:
Potential applicants should consult with the NOFO contact about responsiveness to the NOFO priorities, single research aim, team composition, and anticipated scope very early in the planning stage and a minimum of 8 weeks prior to the application due date. Staff will not assess technical or scientific merit; this will be determined during peer review using the criteria in this NOFO.
Applications that exhibit any of the following characteristics will be considered non-responsive and withdrawn from consideration:
Primarily focuses on disease mechanisms, therapeutics, or treatments. Although disease-related perturbations may be employed to probe causality, such approaches are allowed only for elucidating fundamental mechanisms of CNS function. This NOFO does not support studies that are explicitly disease-focused; such proposals should be directed to the appropriate NIH IC.
| Fails to investigate and integrate these three levels of analysis (circuit components-dynamic circuits-behavior) in at least one of the species under study |
| Does not include in vivo CNS recordings of neural population activity at cellular resolution, with sub-second temporal precision, acquired during the expression of the behavior or behaviorally relevant physiological correlate. |
| Does not incorporate cell-type information at a level of heterogeneity or scale appropriate to the CNS function being investigated (e.g., limited to analysis of only one or two cell types) |
| Does not integrate experimental and computational components |
| Applications primarily consisting of collecting large-scale datasets without a clear plan to use these data to generate mechanistic insights |
See Section VIII. Other Information for award authorities and regulations.
Section II. Award Information
Funding Instrument
Grant: A financial assistance mechanism providing money, property, or both to an eligible entity to carry out an approved project or activity.
Application Types Allowed
New
The OER Glossary and the How to Apply - Application Guide provide details on these application types. Only those application types listed here are allowed for this NOFO.
Clinical Trial?
Not Allowed: Only accepting applications that do not propose clinical trials. Note: Applications may propose activities involving human subjects that are not deemed clinical trials.
Need help determining whether you are doing a clinical trial?
Funds Available and Anticipated Number of Awards
NIH BRAIN Initiative intends to commit up to $8M per fiscal year to fund up to 5 awards.
Award Budget
Application budgets need to reflect the actual needs of the proposed project. It is anticipated that most awards will not exceed $1M direct costs per fiscal year.
Award Project Period
The scope of the proposed project should determine the project period. The maximum project period is 5 years
NIH grants policies as described in the NIH Grants Policy Statement will apply to the applications submitted and awards made from this NOFO.
Section III. Eligibility Information
1. Eligible Applicants
Eligible Organizations
| Higher Education Institutions - Includes all types | |
| Public/State Controlled Institutions of Higher Education | |
| Private Institutions of Higher Education |
Nonprofits Other Than Institutions of Higher Education
| Nonprofits with 501(c)(3) IRS Status (Other than Institutions of Higher Education) |
| Nonprofits without 501(c)(3) IRS Status (Other than Institutions of Higher Education) |
For-Profit Organizations
| Small Businesses |
| For-Profit Organizations (Other than Small Businesses) |
Local Governments
| State Governments |
| County Governments |
| City or Township Governments |
| Special District Governments |
| Indian/Native American Tribal Governments (Federally Recognized) |
| Indian/Native American Tribal Governments (Other than Federally Recognized) |
Federal Governments
Eligible Agencies of the Federal Government
U.S. Territory or Possession
Other
Independent School Districts
Public Housing Authorities/Indian Housing Authorities
Native American Tribal Organizations (other than Federally recognized tribal governments)
Faith-based or Community-based Organizations
Regional Organizations
Foreign Organizations/Foreign Collaborations
Non-domestic (non-U.S.) Entities (Foreign Organizations) 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 allowed.
NIH will no longer issue awards (i.e., new, renewal, or non-competing continuation) to domestic or foreign entities that involve foreign subawards/subcontracts. All NIH-funded research involving foreign subawards/subcontracts must be submitted in response to a NOFO that is specifically designated for funded international collaborations. See NIH Grants Policy Statement 16.8 Collaborative International Research Awards.
Applications involving foreign subawards/subcontracts submitted in response to this NOFO will be deemed noncompliant and will not be considered for funding. This policy applies to all monetary international collaborations resulting in foreign subawards/subcontracts, however, it does not preclude unfunded international collaborations or foreign components, funding for foreign consultants, or procurement of unique equipment or supplies from foreign vendors.
Required Registrations
Applicant Organizations Applicant organizations must complete and maintain the following registrations as described in the How to Apply - Application Guide to be eligible to apply for or receive an award. All registrations must be completed prior to the application being submitted. Registration can take 6 weeks or more, so applicants should begin the registration process as soon as possible. Failure to complete registrations in advance of a due date is not a valid reason for a late submission, please reference NIH Grants Policy Statement Section 2.3.9.2 Electronically Submitted Applications for additional information System for Award Management (SAM) – Applicants must complete and maintain an active registration, which requires renewal at least annually. The renewal process may require as much time as the initial registration. SAM registration includes the assignment of a Commercial and Government Entity (CAGE) Code for domestic organizations which have not already been assigned a CAGE Code. Foreign organizations must obtain a NATO Commercial and Government Entity (NCAGE) Code (in lieu of a CAGE code) in order to register in SAM. Unique Entity Identifier (UEI)- A UEI is issued as part of the SAM.gov registration process. The same UEI must be used for all registrations, as well as on the grant application.
| eRA Commons - Once the unique organization identifier is established, organizations can register with eRA Commons in tandem with completing their Grants.gov registrations; all registrations must be in place by time of submission. eRA Commons requires organizations to identify at least one Signing Official (SO) and at least one Program Director/Principal Investigator (PD/PI) account in order to submit an application. |
| Grants.gov – Applicants must have an active SAM registration in order to complete the Grants.gov registration. |
Program Directors/Principal Investigators (PD(s)/PI(s)) All PD(s)/PI(s) must have an eRA Commons account. PD(s)/PI(s) should work with their organizational officials to either create a new account or to affiliate their existing account with the applicant organization in eRA Commons. Obtaining an eRA Commons account can take up to 2 weeks.
All PD(s)/PI(s) must be registered with ORCID. The personal profile associated with the PD(s)/PI(s) eRA Commons account must be linked to a valid ORCID ID. For more information on linking an ORCID ID to an eRA Commons personal profile see the ORCID topic in our eRA Commons online help.
Eligible Individuals (Program Director/Principal Investigator)
Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as the Program Director(s)/Principal Investigator(s) (PD(s)/PI(s)) is invited to work with their organization to develop an application for support.
For institutions/organizations proposing multiple PDs/PIs, visit the Multiple Program Director/Principal Investigator Policy and submission details in the Senior/Key Person Profile (Expanded) Component of the How to Apply - Application Guide.
The application is required to be submitted as a multiple PD/PI application, with 3–6 PDs/PIs who have complementary expertise. Visit the multiple PD/PI Policy and submission details in the Senior/Key Person Profile (Expanded) Component of the SF424 (R&R) Application Guide, and the Grant Policy Statement on Multiple Principal Investigators. Minimum allowed efforts by the PDs/PIs are described in the R&R Budget instructions in Part 2. Section IV.2.
2. Cost Sharing This NOFO does not require cost sharing as defined in the NIH Grants Policy Statement NIH Grants Policy Statement Section 1.2 Definition of Terms.
3. Additional Information on Eligibility Number of Applications
Applicant organizations may submit more than one application, provided that each application is scientifically distinct.
The NIH will not accept duplicate or highly overlapping applications under review at the same time, per NIH Grants Policy Statement Section 2.3.7.4 Submission of Resubmission Application. This means that the NIH will not accept:
| A new (A0) application that is submitted before issuance of the summary statement from the review of an overlapping new (A0) or resubmission (A1) application. |
| A resubmission (A1) application that is submitted before issuance of the summary statement from the review of the previous new (A0) application. |
| An application that has substantial overlap with another application pending appeal of initial peer review (see NIH Grants Policy Statement 2.3.9.4 Similar, Essentially Identical, or Identical Applications). |
Section IV. Application and Submission Information
1. Requesting an Application Package The application forms package specific to this opportunity must be accessed through ASSIST, Grants.gov Workspace or an institutional system-to-system solution. Links to apply using ASSIST or Grants.gov Workspace are available in Part 1 of this NOFO. See your administrative office for instructions if you plan to use an institutional system-to-system solution.
2. Content and Form of Application Submission It is critical that applicants follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide except where instructed in this notice of funding opportunity to do otherwise (in this NOFO, in a policy notice, or other notice from NIH Guide for Grants and Contracts). Conformance to the requirements in the How to Apply - Application Guide is required and strictly enforced. Applications that are out of compliance with these instructions may be delayed or not accepted for review.
Page Limitations All page limitations described in the How to Apply – Application Guide and the Table of Page Limits must be followed.
For this specific NOFO, the Research Strategy section is limited to 15 pages.
Instructions for Application Submission
The following section supplements the instructions found in the How to Apply – Application Guide and should be used for preparing an application to this NOFO.
SF424(R&R) Cover All instructions in the How to Apply - Application Guide must be followed.
SF424(R&R) Project/Performance Site Locations
SF424(R&R) Other Project Information
SF424(R&R) Senior/Key Person Profile
R&R Budget
| Generally, each PDs/PIs should commit at least 2.4 person months (i.e., the equivalent of 20% effort on a full-year appointment, 26.67% on a 9-month appointment, or 40% on a 6-month appointment) throughout the duration of the award). A dedicated Program Manager with at least 50% FTE is required. Applications with less than 3 or more than 6 PD/PIs and/or without a dedicated Program Manager with at least 50% FTE will be considered non-compliant. | |
| Allocate budget for costs associated with team coordination, integrative activities, travel across labs (particularly as it relates to co-mentoring activities), travel to the BRAIN Initiative Conference, participation in BRAIN consortium activities, and the sharing of key resources and data across team members. Applicants may request and justify data and resource sharing and management systems and/or the hiring of professional data science staff. | |
| Data sharing costs: Applicants may include costs associated with preparing and submitting data to a data archive (as outlined in this NIH BRAIN data sharing policy: https://www.nih.gov/brain/research/data-knowledge-resources | |
| Certain supporting functions such as equipment, animal research costs, and clinical research costs may be requested if well justified and unique to the institution(s) involved. Equipment that duplicates existing institutional or regional shared facilities available to investigators must be identified, and such duplication must be well justified. Do not request inflationary increases in the overall budget or any of the budget categories. Changes in budget should reflect changes in activities required by the science. |
R&R Subaward Budget
PHS 398 Cover Page Supplement
PHS 398 Research Plan All instructions in the How to Apply - Application Guide must be followed, with the following additional instructions:
| Specific aim | |
| State only one Specific Aim that describes the mechanistic insights expected from the proposed project. Applications that include more than one Specific Aim will be considered noncompliant, as multiple independent aims can hinder true integration. | |
| Summarize anticipated deliverables and key innovations in research strategy and approach. | |
| Describe and justify the levels of analysis to be bridged (e.g., circuit components, circuit dynamics, and behavior) and choice of experimental system(s). Summarize how these levels will be explicitly connected through conceptual/theoretical frameworks and integrated experimental-computational strategies. | |
| Justify the team-based approach and explain how the project's scale, complexity, and impact align with the transformative goals of the BRAIN Initiative. |
Research Strategy Applications that fail to include the three components listed below and do not follow the page limits will be considered incomplete and non-compliant, respectively, and will be withdrawn.
| Scientific Plan (up to 12 pages) |
| Benchmarks for Success and Timeline (up to 1 page) |
| Multi-Level Integration and Team Management Plan (up to 2 pages) |
1. Scientific Plan (12-pages max) Program Structure: This program should focus on a single aim composed of interdependent and tightly interconnected components. Provide a visual schematic summarizing the program's organization and illustrating how its key components interact and are fully integrated.
Significance: Describe the scientific problem and key anticipated deliverables, which must include: (1) a mechanistic, biologically grounded explanation of CNS function, and (2) broadly useful solutions to challenges in bridging levels of analysis. Mechanistic insights explain how defined circuit components and their dynamic activity and/or interactions causally generate neural circuit function and behavior, with predictive and testable implications.
Innovation: Describe how the project's scale, complexity, and impact align with the transformative nature of the BRAIN Initiative and warrant a team-based approach. Highlight key conceptual, theoretical, experimental, and/or computational innovations that enable multi-level integration.
Approach:
| Describe how the three required levels of analysis will be directly bridged, and how relationships across these levels will be uncovered. Justify the choice of experimental paradigms at each level and the choice of experimental and model systems, including NAMS (e.g., in silico methods), explaining how these are most appropriate to address the specific question and to reveal generalizable, fundamental principles. Explain the conceptual/theoretical frameworks, predictive models, and/or methodologies enabling this integration, emphasizing how experimental and computational components will interact to connect these levels. | Behavior. This refers to the functional (i.e. physiological or behavioral) output of the circuit or system in the intact animal. The selected behavior, or behaviorally relevant physiological correlate, should be experimentally tractable and, depending on the limits of the experimental system, amenable to causal manipulation and analysis, allowing for meaningful integration with cellular and dynamic circuit-level data. It is expected that the in vivo neural activity and cell types are characterized within the context of this behavior of an organism or the physiological correlate of a well-defined percept or behavior. |
| Circuits. Projects must include in vivo CNS recordings of neural population activity at cellular resolution, with sub-second temporal precision, acquired during the expression of the behavior. These data should capture the dynamic interactions among neurons and circuits in real time within a behaviorally relevant context. | Scale of recording should be sufficient to account for the dynamic activity of the circuit or distributed ensemble of neurons under study, or to validate a specific, model-predicted outcome. This will be evaluated using model system-appropriate considerations. |
| Cellular and sub-second temporal resolution of recording circuit activity (e.g., electrophysiology, calcium imaging, voltage imaging) is expected in order to address mechanistic understanding of circuit functions. The required resolution for mechanistic manipulation of circuits need not be limited to single-cell precision but may extend to cell type– or location-specific interventions (e.g., focal TMS, micro-stimulation, micro-injection, and optogenetic/DREADD/etc. manipulation, including by non-germ cell induction such as viral vectors in non-transgenic species). |
Circuit components. Teams must define and justify what the appropriate "building blocks" of the circuits under study. Relevant "cell types" can be operationally defined through appropriate modalities, capturing their heterogeneity through molecular, physiological, anatomical, functional, and/or connectivity data at a scale sufficient to inform circuit function.
| If applicable, highlight the use of BRAIN-developed tools, technologies, and resources such as atlases. |
| Balance risk, reward, and feasibility: The iBCP program will assume inherent risk consistent with innovative, transformative research. While bold approaches are encouraged, applicants must address feasibility through risk mitigation strategies, alternative approaches, and evidence supporting a strong likelihood of success. Feasibility can be presented in a holistic way, presenting several ways by which the team manages the risk, possibly through collaborations, contingencies, premise, preliminary data, and description of alternative approaches and pitfalls. |
| Justify the team composition. Describe how expertise spanning molecular/cellular through systems neuroscience will be synthesized to develop new scientific principles and approaches to multi-level integration, linking theory, modeling, and/or data analysis with experimental design. |
| Neuroethics: Address neuroethical considerations relevant to this project, as appropriate (e.g., NOT-MH-22-010: NIMH Priorities on Research Using Genetically Modified Nonhuman Primates). Studies that include human subjects must include relevant neuroethical considerations, such as consent of patients recruited into studies with possibility for risk beyond therapeutic standards of care without the expectation of personal therapeutic benefit. Additional risks should be identified and justified as minor and manageable. The consent methodology needs to address how the possibility of coercion or undue influence, and therapeutic misconception, will be minimized. |
2. Benchmarks for Success and Timeline (1-page max) This section is critical for assessing feasibility of the integrative strategy, degree of scientific and team integration, and likelihood of achieving mechanistic insight across levels of analysis within the award period. It will serve as a framework for NIH BRAIN Initiative oversight and progress monitoring.
A. Provide a project timeline in a visual format (e.g., Gantt chart, milestone map, or other infographic) that includes:
| Key scientific benchmarks toward integrated, mechanistic understanding across circuit components, circuit dynamics, and behavior; |
| Integrative team activities essential for multi-level synthesis (e.g., project launch meetings, experimental–computational interactions, co-mentorship activities, lab exchanges, annual team meetings, and data integration milestones); |
| Estimated start and end dates, responsible contributors, and benchmarks for success for each major activity. |
If using an External Advisory Committee, describe its operations and role in providing advice and perspectives. Avoid identifying or contacting potential members prior to review.
Applicants should plan for an annual check-in with NIH BRAIN staff, either virtual or in person. Teams should also plan on joining active BRAIN consortia or leading a new one focused on discussing challenges and effective practices for multi-level integration.
B. Outputs: Summarize anticipated key deliverables with specific examples and success metrics, organized into these categories, as applicable: Discovery, Dissemination, Impact on team members and the next generation of neuroscientists, Health Multi-Level Integration and Team Management Plan (2-pages max) Overall, this section should summarize how the project will integrate the three required levels of analysis, the included disciplines (e.g., molecular/cellular to systems neuroscience, experimental, theoretical, and computational), and key personnel across different scientific backgrounds and career stages, at the level of both scientific strategy and team structure. Under the following sub-headings, describe the unifying activities and defined shared goals, outcomes, or benchmarks that will serve as conceptual, technical, and organizational bridging mechanisms. This section may cross-reference relevant components of the Research Strategy.
A. Scientific Integration Summarize the conceptual and/or theoretical frameworks that unify the three required levels of analysis (circuit components, circuit dynamics, and behavior). Describe how these frameworks will connect different disciplines, labs, and key personnel. Detailed descriptions should be provided in the "Scientific Plan" section of the Research Strategy.
B. Technical Integration
| Summarize the experimental, computational, and analytical approaches used to integrate data and methods across the required levels of analysis and across laboratories. Detailed descriptions should be provided in the "Scientific Plan" section of the Research Strategy. |
| Cross-team data management, sharing, and integration: Describe how data across the three levels of analysis will be shared, analyzed, and integrated across the team, including strategies to address challenges associated with multimodal data integration. Explain how multimodal data will be jointly analyzed to support mechanistic and predictive understanding. This section may cross-reference relevant components of the Research Strategy. This effort must be properly resourced through inclusion of professional data science staff and data/resource sharing and management systems. This plan and its costs are distinct from the Data Management and Sharing Plan, which focuses on sharing data with the public. |
| Resource sharing and allocation across the team: Describe how resources that are key to achieving the project aim will be shared, prioritized, and allocated across team members. This plan and its costs are distinct from the Resource Sharing Plan, which focuses on sharing resources with the public. |
C. Team Management Plan Applicants are encouraged to consult resources to aid in developing effective team-based programs (see e.g., the NCI Collaboration and Team Science Field Guide and literature on the Science of Team Science), and/or participate in team-science related training.
Team Structure: While the Multiple PD/PI Leadership Plan addresses PI leadership, this section should describe the overall team management structure, inclusive of all key personnel. Refer to the MPI Leadership Plan as needed and avoid duplicating information. Address team composition, resources, policies, and specific roles and responsibilities of all key personnel and organizations in fulfilling the scientific and integration goals of this project. Describe how major decisions will be made or conflicts resolved. The structure must ensure balanced participation, avoiding undue authority by any single individual in setting priorities, allocating resources, or recognizing contributions. Strong leadership is expected, but decision-making should reflect collective expertise and project goals.
Team Integration: Because transdisciplinary integration requires intentional effort, applicants must describe roles and activities that accelerate the transition from parallel disciplines to an integrated team, including:
| Program Manager (required): A dedicated Program Manager with at least 50% FTE is required.Summarize how this individual's qualifications and bandwidth are appropriate for the project scale and subject matter to: (1) coordinate administrative and scientific activities of the program, (2) establish communication activities and infrastructure (in-person and virtual) (3) monitor progress towards success metrics and serve as liaison between the investigative team and NIH BRAIN staff for annual oversight and evaluation, (4) monitor and coordinate learning and career development of early-career team members. | |
| Co-mentorship (required): Co-mentorship is required to bridge expertise across laboratories and prepare the next generation for transdisciplinary research. Describe activities enabling early-career scientists to be immersed in the lexicons, perspectives, and methodologies of multiple disciplines (e.g., cross-lab training, joint supervision, transdisciplinary seminars, collaborative problem-solving). Applications missing this component will be considered incomplete. | |
| Knowledge transfer and communication: Describe how knowledge and progress will be shared across disciplines and career stages, including frequency, formats, infrastructure, and the Program Manager's role. Examples may include: | Team building and communication: Launch and onboarding activities, shared virtual collaboration spaces, regular project meetings, team retreats, and informal/ formal gatherings. |
| Promoting cross-disciplinary understanding from molecular/cellular to systems neuroscience, between experimentalists and computational neuroscientists: Expert speaker series, laboratory visits, tutorials, workshops, participation in NIH BRAIN consortia and conferences, and other educational or experiential learning activities. |
Credit attribution: Describe how scientific contributions will be documented and fairly attributed, with particular attention to transparency and fairness for early-career researchers.
Resource Sharing Plan: Individuals are required to comply with the instructions for the Resource Sharing Plans as provided in the How to Apply - Application Guide.
Individuals are required to comply with the instructions for the Resource Sharing Plans as provided in the How to Apply - Application Guide.
Other Plan(s):
All instructions in the How to Apply - Application Guide must be followed, with the following additional instructions:
| A Data Management and Sharing Plan (DMS Plan) is required for any NIH-funded or conducted research that will generate scientific data. Applicants must submit the DMS Plan at the time of application using the NIH DMS Plan Format Page. The DMS Plan must address the elements in the structured format. Where the DMS Plan Format Page requires a "Yes or No" response, no additional narrative is allowed. | |
| Consistent with authorities under the 21st Century Cures Act, all applications to BRAIN Initiative NOFOs must include a Data Management and Sharing Plan. All BRAIN-funded studies must comply with the BRAIN data sharing requirements. Please refer to the BRAIN Initiative requirements for additional information. |
Appendix: Only limited Appendix materials are allowed. Follow all instructions for the Appendix as described in the How to Apply - Application Guide.
No publications or other material, with the exception of blank questionnaires or blank surveys, may be included in the Appendix.
PHS Human Subjects and Clinical Trials Information When involving human subjects research, clinical research, and/or NIH-defined clinical trials (and when applicable, clinical trials research experience) follow all instructions for the PHS Human Subjects and Clinical Trials Information form in the How to Apply - Application Guide, with the following additional instructions:
If you answered "Yes" to the question "Are Human Subjects Involved?" on the R&R Other Project Information form, you must include at least one human subjects study record using the Study Record: PHS Human Subjects and Clinical Trials Information form or Delayed Onset Study record.
Study Record: PHS Human Subjects and Clinical Trials Information
Delayed Onset Study
Note: Delayed onset does NOT apply to a study that can be described but will not start immediately (i.e., delayed start). All instructions in the How to Apply - Application Guide must be followed.
PHS Assignment Request Form
3. Unique Entity Identifier and System for Award Management (SAM) See Part 2. Section III.1 for information regarding the requirement for obtaining a unique entity identifier and for completing and maintaining active registrations in System for Award Management (SAM), NATO Commercial and Government Entity (NCAGE) Code (if applicable), eRA Commons, and Grants.gov
4. Submission Dates and Times Part I. contains information about Key Dates and times. Applicants are encouraged to submit applications before the due date to ensure they have time to make any application corrections that might be necessary for successful submission. When a submission date falls on a weekend or Federal holiday, the application deadline is automatically extended to the next business day.
Organizations must submit applications to Grants.gov (the online portal to find and apply for grants across all Federal agencies). Applicants must then complete the submission process by tracking the status of the application in the eRA Commons, NIH's electronic system for grants administration. NIH and Grants.gov systems check the application against many of the application instructions upon submission. Errors must be corrected and a changed/corrected application must be submitted to Grants.gov on or before the application due date and time. If a Changed/Corrected application is submitted after the deadline, the application will be considered late. Applications that miss the due date and time are subjected to the NIH Grants Policy Statement Section 2.3.9.2 Electronically Submitted Applications.
Applicants are responsible for viewing their application before the due date in the eRA Commons to ensure accurate and successful submission.
Information on the submission process and a definition of on-time submission are provided in the How to Apply – Application Guide.
5. Intergovernmental Review (E.O. 12372) This initiative is not subject to intergovernmental review.
6. Funding Restrictions All NIH awards are subject to the terms and conditions, cost principles, and other considerations described in the NIH Grants Policy Statement.
Pre-award costs are allowable only as described in the NIH Grants Policy Statement Section 7.9.1 Selected Items of Cost.
7. Other Submission Requirements and Information Applications must be submitted electronically following the instructions described in the How to Apply - Application Guide. Paper applications will not be accepted.
Applicants must complete all required registrations before the application due date. Section III. Eligibility Information contains information about registration.
For assistance with your electronic application or for more information on the electronic submission process, visit How to Apply – Application Guide. If you encounter a system issue beyond your control that threatens your ability to complete the submission process on-time, you must follow the Dealing with System Issues guidance. For assistance with application submission, contact the Application Submission Contacts in Section VII.
Important reminders:
All PD(s)/PI(s) must include their eRA Commons ID in the Credential field of the Senior/Key Person Profile form. Failure to register in the Commons and to include a valid PD/PI Commons ID in the credential field will prevent the successful submission of an electronic application to NIH. See Section III of this NOFO for information on registration requirements.
The applicant organization must ensure that the unique entity identifier provided on the…
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