Funding Opportunity Announcements

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.

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.

This is a reissue of RFA-MH-19-136. 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.

A central goal of the BRAIN Initiative is to understand how electrical and chemical signals code information in neural circuits and give rise to sensations, thoughts, emotions and actions. While currently available technologies can provide some understanding, they may not be sufficient to accomplish this goal. For example, non-invasive technologies are low resolution and/or provide indirect measures such as blood flow, which are imprecise; invasive technologies can provide information at the level of single neurons producing the fundamental biophysical signals, but they can only be applied to tens or hundreds of neurons, out of a total number in the human brain estimated at 85 billion. Other BRAIN FOAs seek to develop novel technology (RFA-NS-17-003) or to optimize existing technology ready for in-vivo proof-of-concept testing and collection of preliminary data (RFA-NS-17-004) for recording or manipulating neural activity on a scale that is beyond what is currently possible. This FOA seeks applications for unique and innovative technologies that are in an even earlier stage of development than that sought in other FOAs, including new and untested ideas that are in the initial stages of conceptualization. In addition to experimental approaches, the support provided under this FOA might enable calculations, simulations, computational models, or other mathematical techniques for demonstrating that the signal sources and/or measurement technologies are theoretically capable of meeting the demands of large-scale recording or manipulation of circuit activity in humans or in animal models. The support might also be used for building and testing phantoms, prototypes, in-vitro or other bench-top models in order to validate underlying theoretical assumptions in preparation for future FOAs aimed at testing in animal models.