The overarching goal of this concept is to encourage research that aims to better understand the real-world effectiveness of rapid-acting psychotropic interventional drugs (RAPIDs) in heterogenous patient populations and generate the actionable evidence needed by healthcare systems to guide broad clinical implementation.
The National NeuroHIV Tissue Consortium (NNTC) supports HIV and neurological research by providing high-quality clinical data, biospecimens, and post-mortem tissues. This initiative will sustain and modernize the NNTC as a national resource for studying NeuroHIV, aging-related conditions, antiretroviral therapy, and HIV cure efforts.
This concept aims to continue the Data Resource and Administrative Coordination Center (DRACC) of the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes (SSPsyGene) Consortium to support ongoing needs for data production and analysis that will continue beyond the current DRACC project end date and to complete consortium studies.
This concept continues the successful NIMH Biobehavioral Research Awards for Innovative New Scientists (NIMH BRAINS) program that encourages potentially transformative high-risk, high-reward research from exceptional early stage investigators. The NIMH BRAINS program focuses on research priorities and gap areas identified in the NIMH Strategic Plan for Research.
The Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative plans to continue supporting the development of innovative and transformative neurotechnology tools and approaches that enable the interrogation of cell- and circuit-specific processes in the central nervous system with greater specificity and higher cellular resolution. This concept supports a broad developmental spectrum, from early-stage, high-risk concepts and untested ideas to the optimization of existing technologies with strong potential for widespread adoption.
This concept seeks to support the NIMH AIDS Research Centers program, including D-ARCs and ARCs. The Centers aim to capitalize on their coordinated infrastructure to advance high-impact, interdisciplinary HIV/AIDS research, including at the intersection of HIV/AIDS and mental health, that is relevant to the NIMH DAR mission.
The goal of this concept is to generate comprehensive evidence to determine whether immunotherapeutic strategies, including broadly neutralizing antibodies (bNAbs) and antibody-derived constructs, can safely and effectively target HIV persistence within the central nervous system (CNS) compartment while mitigating neuroimmune dysfunction and improving mental health outcomes.
The goal of this concept is to reissue and extend the NIMH Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness (ALACRITY) Research Centers program. The ALACRITY Centers program is intended to support high-impact, practice-based research with near-term potential to significantly advance clinical practice and generate knowledge that will fuel transformation of mental health care in the United States.
This is a reissue of the informatics infrastructure program announcement for The Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative data ecosystem. This program has established domain-specific archives that serve as primary repositories for scientific data generated across the BRAIN research portfolio, providing long-term maintenance, standardized curation, compliance with NIH data management and sharing policy, and broad community access. This concept calls for continued support for the data archive component of that infrastructure.
The goal of this concept is to continue supporting an integrated BRAIN® Initiative Cell Atlas Network (BICAN) Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE) that will (i) enable the exploration of large-scale brain cell atlas data and knowledge, (ii) inspire research in brain function and disorders, and (iii) ensure research rigor and data reproducibility by making the data Findable, Accessible, Interoperable, and Reusable (FAIR). This will provide the foundation for a knowledge base with consensus brain cell taxonomies, ontologies, and community data standards.