Opportunity Information: Apply for RFA NS 19 012
The Post-Stroke Vascular Contributions to Cognitive Impairment and Dementia (VCID) in the United States Including in Health Disparities Populations funding opportunity (RFA-NS-19-012) is a National Institutes of Health initiative led by the National Institute of Neurological Disorders and Stroke (NINDS) in partnership with the National Institute on Aging (NIA). It supports a single, large, prospective clinical research effort designed to clarify why some people develop cognitive impairment or dementia after a stroke while others do not, and to pinpoint which specific types or features of stroke events are most predictive of later cognitive decline. The focus is explicitly on post-stroke populations within the United States, with an emphasis on ensuring meaningful inclusion of health disparities populations so that results reflect real-world demographic, racial, ethnic, and sex-based differences in stroke burden, vascular risk, and dementia outcomes. The award mechanism is a U19 cooperative agreement, meaning the project is expected to be multi-component, highly coordinated, and carried out with substantial programmatic involvement from NIH; clinical trials are not allowed under this announcement.
At its core, the opportunity is asking applicants to build a rigorous longitudinal study that can separate stroke into clinically relevant subsets and then track how those subsets relate to cognitive trajectories over time. Rather than treating "stroke" as a single uniform exposure, the study is intended to identify which stroke characteristics (for example, stroke type, location, severity, recurrence, and other defining clinical or imaging features) best predict later cognitive impairment and dementia. The initiative also aims to determine what additional clinical factors and comorbidities shift risk upward or downward, especially factors that sit along the Alzheimer’s disease and Alzheimer’s disease-related dementias (AD/ADRD) spectrum. In practical terms, this means designing a cohort and measurement strategy that can evaluate how vascular brain injury interacts with neurodegenerative processes and with common medical conditions that frequently coexist in older adults and in people at elevated vascular risk.
A major deliverable is the development and validation of "clinical-trial ready" biomarkers for post-stroke dementia. That phrase signals that the program is not only interested in publishing associations, but also in producing diagnostic and progression markers that could be used later to enrich enrollment, stratify participants, or measure outcomes in future interventional studies. The opportunity anticipates biomarker work that spans both vascular and Alzheimer’s-related pathways. In particular, the study design is expected to support evaluation of amyloid and tau biomarkers measured during life, reflecting Alzheimer’s pathology, alongside measures of cerebrovascular and cardiovascular disease and their risk factors. The intent is to clarify when post-stroke cognitive impairment appears to be driven primarily by vascular injury, when it appears to be driven by concurrent Alzheimer’s pathology, and when the two act synergistically to accelerate decline.
The FOA also highlights an expectation that applicants will collect and analyze genetic information relevant to dementia susceptibility and stroke-dementia interactions. Examples called out include ApoE, Notch3 mutations (classically associated with vascular cognitive impairment conditions such as CADASIL), and additional Alzheimer’s-linked genes and variants such as APP, PSEN1 (PS1), PSEN2 (PS2), PICALM, CLU, and TREM2. The point is not simply to genotype participants, but to design analyses that can test how genetic susceptibility modifies the relationship between stroke events, vascular risk burden, and cognitive outcomes across time. This genetic dimension is meant to integrate with clinical characterization, imaging, and biomarker collection so that the project can examine multi-factor interrelationships rather than isolated predictors.
Because health disparities populations are specifically emphasized, a competitive application would be expected to address recruitment and retention in populations that have historically been underrepresented in longitudinal neurological research and that often experience disproportionate stroke incidence, stroke severity, and barriers to post-stroke care. The description suggests an interest in understanding sex, racial, and ethnic differences not as afterthought subgroup analyses, but as integral components of the study’s design, measurement plan, and statistical framework. This includes capturing differential exposure to vascular risk factors, differential access to rehabilitation and follow-up care, and any other contextual or clinical variables that may mediate or moderate post-stroke cognitive trajectories.
From an administrative standpoint, the opportunity is offered by the U.S. Department of Health and Human Services through NIH as a discretionary cooperative agreement in the health funding category, with CFDA numbers 93.853 and 93.866. The original posting indicates an anticipated single award with a very large budget cap (award ceiling of $39,000,000), reflecting the scale of the required cohort, follow-up duration, and breadth of data collection (clinical, neuropsychological, imaging, biomarker, and genetic). Eligibility is broad and includes many types of U.S. organizations such as state and local governments, public and private institutions of higher education, nonprofit organizations (with and without 501(c)(3) status), tribal governments and tribal organizations, public housing authorities/Indian housing authorities, for-profit organizations (other than small businesses), and small businesses, among others as allowed by NIH policy and the FOA text.
In summary, this grant opportunity funds a single, coordinated U.S.-based prospective study that tracks post-stroke individuals over time to determine which stroke subtypes best predict cognitive impairment and dementia, how vascular and Alzheimer’s-related processes interact, and which clinical, demographic, and genetic factors explain differences in decline versus resilience. The long-term value NIH is targeting is a well-characterized dataset and biomarker toolkit that can directly support future trials aimed at preventing or slowing post-stroke dementia, while ensuring the evidence base is valid for the diverse populations most affected by stroke and its cognitive consequences.Apply for RFA NS 19 012
- The Department of Health and Human Services, National Institutes of Health in the health sector is offering a public funding opportunity titled "Post-Stroke Vascular Contributions to Cognitive Impairment and Dementia (VCID) in the United States Including in Health Disparities Populations (U19 Clinical Trial not Allowed)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.853, 93.866.
- This funding opportunity was created on Feb 15, 2019.
- Applicants must submit their applications by Apr 17, 2019. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $39,000,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For profit organizations other than small businesses, Small businesses, Others (see text field entitled Additional Information on Eligibility for clarification).
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