Understanding the dynamic activity of neural 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 large-scale recording and manipulation of neural activity to enable transformative understanding of dynamic signaling in the nervous system.In particular, we seek exceptionally creative approaches to address major challenges associated with recording and manipulating neural 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.
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.
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For more about NIH BRAIN Initiative research and associated funding opportunities, visit the Research Overview.
Although invention and proof-of-concept testing of new technologies is a key component of the BRAIN Initiative, to achieve their potential these technologies must also be optimized through feedback from end-users in the context of the intended experimental use. This seeks applications for the optimization of existing and emerging technologies and approaches that have potential to address major challenges associated with recording and manipulating neural activity, at or near cellular resolution, at multiple spatial and temporal scales, in any region and throughout the entire depth of the brain.This FOA is intended for the iterative refinement of emergent technologies and approaches that have already demonstrated their transformative potential through initial proof-of-concept testing, and are appropriate for accelerated development of hardware and software while scaling manufacturing techniques towards sustainable, broad dissemination and user-friendly incorporation into regular neuroscience practice.
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 of complex circuits and provide insights into cellular interactions that underlie brain function. 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. Tools that can be used in a number of species/model organisms rather than those restricted to a single species are highly desired. Applications that provide approaches that break through existing technical barriers to substantially improve current capabilities are highly encouraged.
Invasive surgical procedures provide the unique ability to record and stimulate neurons within precisely localized brain structures in humans. Human studies using invasive technology are often constrained by a limited number of patients and resources available to implement complex experimental protocols and are rarely aggregated in a manner that addresses research questions with appropriate statistical power. Therefore, this FOA seeks applications to assemble integrated, multi-disciplinary teams to overcome these fundamental barriers. Projects should investigate high-impact questions in human neuroscience and disorders of the human nervous system. The research should be offered as experimental projects, or exploratory research and planning activities, for building teams, generating data and empirical results that will later compete for continued funding under new or ongoing FOAs of the BRAIN Initiative or under NIH Institute appropriations.
This funding opportunity announcement (FOA), in support of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, aims to support 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 that will revolutionize our understanding of the biological activity underlying, and bioinformatic content of, data collected using contemporary non-invasive functional brain imaging techniques. The hope is that these transformative discoveries will lead to breakthroughs in understanding the dynamic activity of the human brain.
This FOA is intended to facilitate partnerships between clinical investigators and manufacturers of latest-generation stimulating and/or recording devices that are FDA-designated as Class III (invasive, posing significant risk of harm), to conduct clinical research in the central nervous system.As part of The BRAIN InitiativeSM, NIH has initiated a Public-Private Partnership program (BRAIN PPP) to reduce barriers to negotiating such partnerships, and to ensure that new clinical studies leverage manufacturers existing data demonstrating safety and utility of these devices.Safety and utility data for invasive devices are costly to obtain, yet they are necessary for regulatory approval of human research, and therefore pose a substantial barrier to research progress.For this program, NIH has entered into agreements with a number of manufacturers to make available next generation devices that can stimulate and/or record from the central nervous system and have sufficient data to enable new Non-Significant Risk (NSR) or Investigational Device Exemption (IDE) without the need for significant additional testing.
The purpose of this Funding Opportunity Announcement (FOA) is to encourage investigators to pursue translational and clinical studies for recording and/or stimulating devices to treat nervous system disorders and better understand the human brain. The program will utilize a cooperative agreement mechanism to support the submission of an Investigational Device Exemption (IDE) for a Significant Risk (SR) study or obtain Institutional Review Board (IRB) approval for a Non-Significant Risk (NSR) study, and a subsequent small clinical study (e.g., Early Feasibility Study). The small clinical study should provide data to answer key questions about the function or final design of a device.This final device design may require most, if not all, of the non-clinical testing on the path to more advanced clinical trials and market approval. The clinical study is expected to provide information that cannot be practically obtained through additional nonclinical assessments (e.g., bench top or animal studies) due to the novelty of the device or its intended use. Activities supported in this program include implementation of clinical prototype devices, non-clinical safety and efficacy testing, design verification and validation activities, and pursuit of regulatory approval for, and implementation of, a single small clinical study.
The purpose of this Funding Opportunity Announcement (FOA) is to encourage investigators to pursue a small clinical study to obtain critical information necessary to advance recording and/or stimulating devices to treat central nervous system disorders and better understand the human brain (e.g., Early Feasibility Study).Clinical studies supported may consist of acute or short-term procedures that are deemed Non-Significant Risk (NSR) by an Institutional Review Board (IRB), or Significant Risk (SR) studies that require an Investigational Device Exemption (IDE) from the FDA, such as chronic implants.The clinical study should provide data to answer key questions about the function or final design of a device.This final device design may require most, if not all, of the non-clinical testing on the path to more advanced clinical trials and market approval.The clinical study is expected to provide information that cannot be practically obtained through additional non-clinical assessments (e.g., bench top or animal studies) due to the novelty of the device or its intended use. Activities supported by this Funding Opportunity include a small clinical study to answer key questions about the function or final design of a device.
700 To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development. This FOA will support short courses to facilitate the development of a sophisticated cadre of investigators with the requisite knowledge and skills in computational neuroscience perspectives and techniques for analyzing and interpreting complex, high-dimensional neuroscience data to advance The BRAIN Initiative®. For the purposes of this FOA, computational neuroscience encompasses theoretical neuroscience, computational and mathematical modeling of neural systems, and/or statistical perspectives and techniques. Each short course is expected to include both didactics and in-person/hands-on experiences. This FOA is intended for participants who are graduate students, medical students, postdoctoral scholars, medical residents, and/or early-career faculty.
This FOA solicits new theories, computational models, and statistical methods to derive understanding of brain function from complex neuroscience data. Approaches could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting features in complex brain data.