Notices of Funding Opportunities

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.

The purpose of the The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Fellows (F32) program is to enhance the research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of the BRAIN Initiative. Applications are encouraged in any research area that is aligned with the BRAIN Initiative, including neuroethics. Applicants are expected to propose research training in an area that clearly complements their predoctoral research. Formal training in analytical tools appropriate for the proposed research is expected to be an integral component of the research training plan. In order to maximize the training potential of the F32 award, this program encourages applications from individuals who have not yet completed their terminal doctoral degree and who expect to do so within 12 months of the application due date. On the application due date, candidates may not have completed more than 12 months of postdoctoral training.

Reissue of RFA-NS-18-019: Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. The invention, proof-of-concept investigation, and optimization of new technologies through iterative feedback from end users are key components of the BRAIN Initiative. This FOA seeks applications to optimize existing or emerging technologies through iterative testing with end users. The technologies and approaches should have potential to address major challenges associated with 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). These technologies and approaches should have previously demonstrated their transformative potential through initial proof-of-concept testing and are now ready for accelerated refinement. In conjunction, the manufacturing techniques should be scalable towards sustainable, broad dissemination and user-friendly incorporation into regular 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, electrical, magnetic, acoustic 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.

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 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.

This Funding Opportunity Announcement (FOA) intends to support a group of large-scale Comprehensive Centers that will adopt scalable technology platforms and streamlined sampling strategies and assay cascade to create comprehensive and highly granular brain cell atlases of human and non-human primates with an emphasis on human. The Centers are expected to characterize all brain cell types (neurons, glia, and other non-neuronal cells) at high-resolution. The overarching goal of the BICAN is to build reference brain cell atlases that will be widely used throughout the research community, providing a molecular and anatomical foundational framework for the study of brain function and disorders.

This Funding Opportunity Announcement (FOA) intends to support a Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE) that will be composed of four components to establish respectively (1) a common sequencing data processing pipeline, (2) a common imaging data processing pipeline, (3) a comprehensive brain cell knowledge base, and (4) an engaging and outreach component to coordinate the research within and beyond BICAN. The overall goals of CUBIE are to (i) enable the exploration of large-scale brain cell atlas data and knowledge, and inspire research in brain function and disorders; and (ii) ensure research rigor and data reproducibility by making the data to be findable, accessible, interoperable, and reusable, and the process transparent. An application is expected to propose only one of the above four respective components.

This Funding Opportunity Announcement (FOA) intends to support a group of Specialized Collaboratories that will adopt scalable technology platforms and streamlined sampling strategies and assay cascade to create comprehensive and highly granular brain cell atlases in human, non-human primates, and mouse, in coordination and collaboration with other BICAN projects. In particular, the Specialized Collaboratories are expected to complement the Comprehensive Centers in BICAN with distinct capabilities, competencies, and research aims. The overarching goal of the BICAN is to build reference brain cell atlases that will be widely used throughout the research community, providing a molecular and anatomical foundational framework for the study of brain function and disorders.