Notices of Funding Opportunities

Reissue of RFA-MH-22-115 to comply with DMSP policy. 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.

Reissue of RFA-NS-22-027 to comply with DMSP - No new dates are being added. (Reissue of RFA-NS-18-014 and RFA-NS-21-014) This R34 NOFO 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 NOFO (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-22-026 to comply with DMSP - No new dates are being added.(Reissue of RFA-NS-18-030) This NOFO 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-NS-22-028 to comply with DMSP - No new dates are being added. Reissue of:RFA-NS-18-029 and RFA-NS-20-029. This funding opportunity announcement (FOA) is designed to support teams of investigators that seek to cross boundaries of interdisciplinary collaboration to elucidate the contributions of dynamic circuit activity to a specific behavioral or neural system. Applications are encouraged to propose adventurous and challenging goals that can only be tackled by a synergistic team-based approach and have the potential to be transformative and/or to enable significant advances. These studies at the exploratory stage are intended for the development of experimental capabilities and/or theoretical frameworks in preparation for a future competition for larger-scale or extended efforts, including the BRAIN TargetedBCP R01 or the multi-component, Team-Research BRAIN Circuit Programs (U19). The overall goal of this FOA is to enable a large-scale analysis of neural systems and circuits within the context and during the simultaneous measurement of an ethologically relevant behavior. Toward this end, teams are expected to assemble and leverage multi-disciplinary expertise, and to integrate experimental with computational and theoretical approaches. Teams are expected to bridge fields by incorporating rich information on cell-types, on circuit functionality and connectivity, in conjunction with sophisticated analyses of an ethologically relevant behavior of an organism or a well-defined neural system. Teams are also expected to aim for a mechanistic understanding of the circuits of the central nervous system (CNS) by applying cutting-edge methods such as those for large-scale recording, manipulation, and analysis of neural circuits across multiple regions of the CNS.

Reissue of RFA-NS-22-011 to comply with DMSP. No additional receipt dates added. This funding opportunity announcement (FOA) supports efforts to disseminate resources and to integrate them into neuroscience research practice. Projects should be highly relevant to specific goals of the BRAIN Initiative, goals that are described in the planning document "BRAIN 2025: A Scientific Vision." They should engage in one or more of the following activities: distribution of tools and reagents; user training on the usage of new technologies or techniques; providing access to existing technology platforms and specialized facilities; minor improvements to increase the scale/efficiency of resource production and delivery; minor adaptations to meet the needs of a user community. Applications strictly focused on technology or software development, rather than dissemination of an existing resource, are not responsive to this FOA. Refinements to microscopes or tools necessary to customize them to the experimental needs of the end users is allowed. Projects should address compelling needs of neuroscience researchers working toward the goals of the BRAIN 2025 report that are otherwise unavailable or impractical in their current form.

Reissue of RFA-MH-22-220 to comply with DMSP. This FOA supports the development of software to visualize and analyze the data as part of programs of building the informatics infrastructure for the BRAIN Initiative. Other informatics programs include developing data standards that are needed to describe the new experiments that are being created by or used in the BRAIN Initiative ( RFA-MH-19-146 ), and creating the data infrastructures that will house the data from multiple experimental groups ( RFA-MH-19-145 ). Each of the programs is aimed at building an infrastructure that is used by a particular sub-domain of experimentalists rather than building a single all-encompassing informatics infrastructure now. Building the infrastructure one experimental area at a time will ensure that the infrastructure is immediately useful to components of the research community. As our understanding of the brain improves, it may be possible to create linkages between these various sub-domain specific informatics programs. Investigators of the informatics programs should keep that goal in mind and build for the future even though the current efforts are more limited in scope.

This funding opportunity announcement (FOA) invites applications for creating the Data Coordination and Artificial Intelligence Center (DCAIC) for the Brain Behavior Quantification and Synchronization (BBQS) Consortium of the BRAIN Initiative. The FOA will support a single award to a multi-disciplinary team with a single or multiple PIs working on the five interrelated areas:1) Data Management; 2) Data Standards; 3) ML/AI Resources; 4) Data Ecosystem; and 5) Dissemination, Training and Coordination.

This Funding Opportunity Announcement (FOA) solicits applications for team-centric development and validation of innovative non-invasive imaging technologies that could have a transformative impact on the study of brain function/connectivity. Applications are expected to turn a novel concept into a functional prototype using this phased grant mechanism. The feasibility should be established by the end of its first phase and serve as a foundation for the transition to its second phase. Fully developing the technology into a functional prototype and validating it by in-vivo animal or human function/connectivity imaging are anticipated in the second phase. The research plan should provide a realistic timeline and tangible milestones to support the proposed development effort. Awards will be integrated into the BRAIN Non-Invasive Imaging Consortium, as a coordinated network on brain function/connectivity imaging.

The goal of this effort is to support the development and validation of next generation platforms and analytic approaches to precisely quantify behaviors in humans and link them with simultaneously recorded brain activity. Tools used for analyzing behavior should be multi-modal and should be able to be linked to brain activity and thus have the accuracy, specificity, temporal resolution, and flexibility commensurate with tools used to measure and modulate the brain circuits that give rise to those behaviors. This phased award will support novel tool development (i.e., hardware/software) in the R61 phase and synchronization of novel tools for measuring behavior and human brain activity in the R33 phase.

This R34 Funding Opportunity Announcement (FOA) seeks applications with limited scope proposing a set of planning activities that will lay the groundwork for a scientific project aimed at integrating complementary theories and methods to 1) develop, validate and apply cutting-edge tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of behavior at the level of the organism, with synchronous capture of changes in the organisms social or physical environment; and/or 2) develop computational methods that allow for integration of multidimensional behavioral and environmental datarepresenting multiple timescales into a conceptual and/or computational model of behavior as a complex dynamic system, designed with the capacity to integrate synchronously recorded neural data and/or inform existing models of neurobehavioral function, such as those developed with the support of the NIH BRAIN Initiative. The purpose of this R34 funding opportunity is to support planning and development of the research framework, design, and approach, including activities that will establish feasibility, validity, and/or other technically qualifying results that, if successful, would support a competitive application for a U01, R01 or equivalent NIH research award.