This Funding Opportunity Announcement (FOA) supports Comprehensive Centers to develop and test technologies that can be scaled to brain-wide atlases of mouse circuit connectivity. Centers will establish data collection, analysis, and dissemination pipelines to demonstrate the feasibility of mapping cell-to-cell connectivity with a minimum resolution of synaptic connections. They will demonstrate the significance of the approach within the context of a chosen CNS sub-volume, by testing specific hypotheses relating circuit structure to function. They will also incorporate toolsets and infrastructure for integrating separately collected data from smaller volumes, as well as from other data collection modalities, and for enabling the neuroscience community to interact with and mine the data for new research questions. Centers will be integrated into the BRAIN CONNECTS Network, consisting of projects from this FOA and its companion announcements, as a coordinated effort aimed at developing wiring diagrams that can span entire brains across multiple scales.
Notices of Funding Opportunities
National Institutes of Health (NIH) BRAIN Initiative notices of funding opportunities (NOFOs), requests for applications (RFAs), program announcements (PAs), and other NIH Guide announcements are listed below. Search this page to find all notices of special interest (NOSI). Search the Closed Opportunities page to find expired opportunities.
Learn more about NIH’s grant mechanisms.
Learn about the Plan for Enhancing Diverse Perspectives (PEDP), a required component in most BRAIN applications.
Learn about the NIH Data Management and Sharing Policy, which all NIH applications must follow.
To see more NIH-funded awards, please visit NIH Grants and Funding.
For more about NIH BRAIN Initiative research and associated funding opportunities, visit the Research Overview.
This Funding Opportunity Announcement (FOA) supports Specialized Projects to develop current or emerging technologies to generate comprehensive atlases of brain connectivity, with an emphasis on human, non-human primate (NHP), and mouse. Projects validating approaches using other species are also permitted if well justified. Applications may address any aspects of the data collection, analysis, and dissemination pipelines, to enable faster and more cost-effective generation and interpretation of brain-wide wiring diagrams. Projects will offer distinct capabilities and competencies aimed at developing and optimizing current technologies or entirely new and potentially risky approaches. They will be integrated into the BRAIN CONNECTS Network, consisting of other Specialized Projects from this FOA, and Comprehensive Centers from its companion announcements, as a coordinated effort aimed at developing wiring diagrams that can span entire brains across multiple scales.
This Funding Opportunity Announcement (FOA) supports Comprehensive Centers to develop and test technologies that can be scaled to brain-wide atlases of human and non-human primate circuit connectivity. Centers will establish data collection, analysis, and dissemination pipelines to demonstrate the feasibility of mapping region-to-region connectivity with a minimum resolution of individual cells and/or axon fibers. They will demonstrate the significance of the approach within the context of a chosen CNS sub-volume, by testing specific hypotheses relating circuit structure to function. They will also incorporate toolsets and infrastructure for integrating separately collected data from smaller volumes, as well as from other data collection modalities, and for enabling the neuroscience community to interact with and mine the data for new research questions. Centers will be integrated into the BRAIN CONNECTS Network, consisting of projects from this FOA and its companion announcements, as a coordinated effort aimed at developing wiring diagrams that can span entire brains across multiple scales.
(Reissue of RFA-NS-18-014 and RFA-NS-21-014) This R34 FOA solicits applications that offer a limited scope of aims and an approach that will establish feasibility, validity, or other technically qualifying results that, if successful, would support, enable, and/or lay the groundwork for a potential, subsequent Targeted Brain Circuits Projects - TargetedBCP R01, as described in the companion FOA (RFA-NS-22-026). Applications should be exploratory research projects that use innovative, methodologically-integrated approaches to understand how circuit activity gives rise to mental experience and behavior.
(Reissue of RFA-NS-18-030) This FOA solicits applications for research projects that use innovative, methodologically-integrated approaches to understand how circuit activity gives rise to mental experience and behavior. The goal is to support projects that can realize a meaningful outcome within 5 years. Applications should address circuit function in the context of specific neural systems such as sensation, perception, attention, reasoning, intention, decision-making, emotion, navigation, communication or homeostasis. Projects should link theory and data analysis to experimental design and should produce predictive models as deliverables. Projects should aim to improve the understanding of circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating dynamic patterns of neural activity. Projects can use non-human and human species, and applications should explain how the selected species offers ideal conditions for revealing general principles about the circuit basis of a specific behavior.
Reissue of RFA-MH-19-135 The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate novel tools to facilitate the detailed analysis and manipulation of complex circuits and provide insights into cellular interactions that underlie brain function. Critical advances in the treatment of brain disorders in human populations are hindered by our lack of ability to monitor and manipulate circuitry in safe, minimally-invasive ways. Clinical intervention with novel cell and circuit specific tools will require extensive focused research designed to remove barriers to delivery of gene therapies. In addition to identification and removal of barriers, the need to specifically target dysfunctional circuitry poses additional challenges. Neuroscience has experienced an impressive influx of exciting new research tools in the past decade, especially since the launch of the BRAIN Initiative. However, the majority of these cutting edge tools have been developed for use in model organisms, primarily rodents, fish and flies. These cutting edge tools, such as viral delivery of genetic constructs, are increasingly adaptable to large brains and more importantly are emerging as potential human therapeutic strategies for brain disorders. A pressing need to develop tools for use in large brains, more directly relevant to the human brain is the focus of this initiative. The new tools and technologies should inform and/or exploit cell-type and/or circuit-level specificity. Plans for validating the utility of the tool/technology will be an essential feature of a successful application. The development of new genetic and non-genetic tools for delivering genes, proteins and chemicals to cells of interest or approaches that are expected to target specific cell types and/or circuits in the nervous system with greater precision and sensitivity than currently established methods are encouraged.
Reissue of RFA-MH-20-128 This Funding Opportunity Announcement (FOA) solicits applications to develop standards that describe experimental protocols that are being conducted as part of the BRAIN Initiative. It is expected that applications will solicit community input at all stages of the process. It is recommended that the first step of standard development will involve sharing data between different key groups in the experimental community in order to ensure that the developing standard will cover the way that all of those groups are collecting data. The developed standard is expected to be made widely available.
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The overarching goal of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nations biomedical, behavioral and clinical research needs in research areas relevant to the BRAIN Initiative. To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development and Research Experiences. The purpose of this FOA is to encourage applications for the continuation and/or expansion of ongoing and new research education programs that will significantly advance the educational goals of the BRAIN Initiative as described in BRAIN 2025: A Scientific Vision including neuroethics and opportunities to increase the workforce diversity in BRAIN Initiative research areas. Proposed programs are expected to offer hands-on research experiences, an in-depth conceptual understanding of the techniques and tools employed, and the knowledge to apply appropriate analytic approaches to the resulting data. Participants are limited to undergraduate, graduate/medical students, medical residents, postdoctoral scholars, and/or early-career faculty with an emphasis on diversity as defined by NIH (NOT-OD-20-031). Proposed programs will facilitate the development of a sophisticated cadre of future investigators with the knowledge and skills to apply BRAIN Initiative techniques and approaches and data resources (BRAIN cell census data https://bicon.org/data) to research questions about brain function and behavior. Programs appropriate for this FOA must include participants from a regionally/nationally recruited cohort.
Reissue of RFA-MH-19-400. This funding opportunity announcement (FOA), in support of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, is one of several FOAs aimed at supporting transformative discoveries that will lead to breakthroughs in understanding human brain function. Guided by the long-term scientific plan, BRAIN 2025: A Scientific Vision, this FOA specifically seeks to support efforts addressing core ethical issues associated with research focused on the human brain and resulting from emerging technologies and advancements supported by the BRAIN Initiative. The hope is that efforts supported under this FOA might be both complementary and integrative with the transformative, breakthrough neuroscience discoveries supported through the BRAIN Initiative.
Reissue of RFA-NS-18-020: Understanding the dynamic activity of brain circuits is central to the NIH BRAIN Initiative. This FOA seeks applications for proof-of-concept testing and development of new technologies and novel approaches for recording and modulation (including various modalities for stimulation/activation, inhibition and manipulation) of cells (i.e., neuronal and non-neuronal) and networks to enable transformative understanding of dynamic signaling in the central nervous system (CNS). This FOA seeks exceptionally creative approaches to address major challenges associated with recording and modulating CNS activity, at or near cellular resolution, at multiple spatial and/or temporal scales, in any region and throughout the entire depth of the brain. It is expected that the proposed research may be high-risk, but if successful, could profoundly change the course of neuroscience research. Proposed technologies should be compatible with experiments in behaving animals, validated under in vivo experimental conditions, and capable of reducing major barriers to conducting neurobiological experiments and making new discoveries about the CNS. Technologies may engage diverse types of signaling beyond neuronal electrical activity such as optical, magnetic, acoustic and/or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. If suitable, applications are expected to integrate appropriate domains of expertise, including biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.