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The purpose of this Funding Opportunity Announcement (FOA) is to invite new cooperative agreement applications for the Data Management and Coordinating Center (DMCC), which supports the Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) Collaborative Research Centers (CRC). This FOA will support the DMCC (U24) cooperative agreement that will focus on providing the infrastructure and support to the individual ME/CFS CRCs in their activities. Data management for efficient data collection as well as data mining and data sharing will be addressed in the data management and coordinating center (DMCC), as well as coordination of tools to identify and access available ME/CFS biospecimens. The ME/CFS CRCs will establish a network to facilitate research through: 1) collaborative basic and/or clinical research on ME/CFS; 2) provide and maintain tools for data and biospecimen sharing; 3) access to information related to ME/CFS for basic and clinical researchers, academic and practicing physicians, healthcare professionals, patients, and the lay public; and 4) facilitation of community outreach and engagement in the research activities.

(Reissue of RFA-NS-18-030) This FOA 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-18-014 and RFA-NS-21-014) This R34 FOA 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 FOA (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.

This funding opportunity announcement (FOA) provides support to eligible, domestic institutions to develop and implement effective, approaches to biomedical research education and mentoring that will keep pace with the rapid evolution of the research enterprise. This NIH Neuroscience Doctoral Readiness Program (DR Program) expects that the proposed research education programs will incorporate extensive research experiences within the NINDS mission and well-designed courses for skills development and education to prepare recent baccalaureates from diverse backgrounds to transition into and complete rigorous, research-focused doctoral degree programs (e.g., Ph.D. or M.D./Ph.D.) in biomedical fields. This is a limited competition funding opportunity announcement to support postbaccalaureate programs that will be affiliated with a funded NIH T32 program. Eligibility is limited to PD(s)/PI(s) or MPI teams that include at least one PD/PI of a grant supported by the following FOAs: T32 - Jointly Sponsored Institutional Predoctoral Training Program (JSPTPN), PAR-20-076;NINDS T32 - Institutional Research Training Grant, PAR-21-149; or NINDS T32 - Institutional Translational Research Training Program, PAR-19-228. In all cases, a PD/PI of the T32 grant from a FOA cited above, must be the PD/PI or an MPI of this R25. This Funding Opportunity Announcement (FOA) does not allow appointed participants to lead an independent clinical trial but does allow them to obtain research experience in a clinical trial led by a mentor or co-mentor.

This Notice of Special Interest (NOSI) provides an opportunity for clinical trials funded by the Helping to End Addiction Long-term (HEAL) initiative to address challenges of recruiting and engaging the diverse populations suffering from pain and opioid use disorder. NIH will support supplements to current HEAL awards that would either enhance their patient, community, and other stakeholder engagement efforts; improve diversity and inclusion among participants; or both, as appropriate for a particular study. The NIH HEAL Initiative is a trans-agency effort to speed scientific solutions to stem the national opioid public health crisis through understanding, managing, and treating pain and improving treatment for opioid use disorder and overdose. This supplement program is not intended to support research on basic processes but rather to implement strategies to enhance stakeholder engagement and diversity of patient inclusion in HEAL clinical studies.

The purpose of this Funding Opportunity Announcement (FOA) is to promote the discovery of strong candidate biomarkers or biomarker signatures for pain that can be used to facilitate the testing of non-opioid pain therapeutics in Phase II clinical trials.The biomarkers or biomarker signature will be developed through clinical research specifically focused on the identification of pain biomarkers or biosignatures that predict and/or monitor response to pain therapeutics. The resulting biomarkers or biomarker signatures may be focused on a single pain condition or on several pain conditions with common underlying pathophysiology. Applications to identify biomarkers or biomarker signatures that predict or monitor a therapeutic response across several related pain conditions should feature Multiple Principal Investigator (MPI)-led teams that represent each of the related pain conditions and associated clinical networks. The MPI-led teams are expected to decide upon a single set of measures or biomarker modalities (i.e., combination of omics, QST, actigraphy, EEG, digital measures, etc.) as components of the biosignature for all pain conditions represented in the application. Applications should feature centralized resource groups that will coordinate clinical trials and standardize all sample or data collection methods, technology development, statistical analysis and algorithm development across the pain conditions under investigation. Applications seeking to develop biomarkers or biomarker signatures that will be used to predict and/or monitor a therapeutic response for a single pain condition must also feature MPI-led teams that represent the cross functional expertise necessary for biomarker and/or signature development, along with the same types of centralized resource groups that coordinate clinical trials and standardize sample or data collection methods, technology development and statistical analysis.

This is a reissue to correct errors and omissions. This Funding Opportunity Announcement (FOA) encourages grant applications for the conduct of innovative, collaborative research projects between U.S. and low- and middle-income country (LMIC) scientists, on brain and other nervous system function and disorders throughout life, relevant to LMICs (including neurological, mental, behavioral, alcohol and substance use disorders and spanning the full range of science from basic to implementation research). Scientists in upper middle-income LMICs (UMICs) are also eligible to partner directly with scientists at other LMIC institutions with or without out a US partner. Income categories are defined by the World Bank at http://data.worldbank.org/about/country-classifications/country-and-len….

This is a reissue to correct a few errors and omissions. This Funding Opportunity Announcement (FOA) encourages exploratory/developmental research grant applications, proposing the development of innovative, collaborative research projects on brain and other nervous system function and disorders throughout life, relevant to low- and middle-income countries (LMICs). Research on neurological, mental, behavioral, alcohol and substance use disorders may span the full range of science from basic to implementation research. Scientists in the United States (U.S.) or upper-middle income countries (UMICs) are eligible to partner with scientists in LMIC institutions. Scientists in upper middle-income LMICs (UMICs) are also eligible to partner directly with scientists at other LMIC institutions with or without out a US partner. Income categories used are as defined by the World Bank at http://data.worldbank.org/about/country-classifications/country-and-len…. These grants are expected to foster the development of more comprehensive research programs that contribute to the long-term goals of building sustainable research capacity in LMICs to address nervous system development, function and impairment throughout life and to lead to diagnostics, prevention, treatment and implementation strategies. The proposed work may also contribute to developing a base for research networking and evidence-based policy beyond the specific research project.

This Notice announces the continuing availability of administrative supplements to active awards that focus on biomedical software development or have a significant software development component. The goal of these supplements is to invest in research software tools with recognized value in a scientific community to enhance their impact by leveraging best practices and design principles in software development and advances in technology including cloud computing. This initiative is part of a plan for implementing the NIH Strategic Plan for Data Science which describes actions aimed at modernizing the biomedical research data ecosystem to make data findable, accessible, interoperable, and reusable (FAIR) and provide robust, scalable, sustainable tools and workflows with high impact for open science. The supplements are intended to support and encourage collaborations between biomedical scientists and software engineers to enhance the design, implementation, and cloud-readiness of research software. Through these awards, the NIH Office of Data Science Strategy (ODSS) intends to help researchers who have developed scientifically valuable software to make their tools robust and sustainable, take advantage of new data science, software engineering, and computing paradigms, reach a broader community and contribute to open science.

This Notice announces the availability of supplements to active grants which are intended to support collaborations that bring together expertise in biomedicine, data management, and artificial intelligence and machine learning (AI/ML) to make NIH-supported data useful and usable for AI/ML analytics. This initiative is aligned with the NIH Strategic Plan for Data Science, which describes actions aimed at modernizing the biomedical research data ecosystem and making data FAIR (Findable, Accessible, Interoperable, and Reusable) with high impact for open science. For the purposes of this Notice, AI/ML is inclusive of machine learning (ML), deep learning (DL), and neural networks (NN).