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In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging

NINDS - National Institute of Neurological Disorders and Stroke

open
OpenLast verified: 2026-06-18

About This Grant

Project Abstract White matter hyperintensities (WMHs) are common findings in older adults, appearing as high-signal areas on T2-weighted MRI scans. While often linked to cerebral small vessel disease, they reflect non-specific changes in white matter composition and have been linked to a wide range of conditions, including neurodegenerative diseases. This non-specificity makes it difficult to determine the underlying cause of WMHs based solely on their size or location on an MRI scan. The challenge becomes even more pronounced in dementia clinics, where distinguishing between the different causes of WMHs is crucial but complicated by the interplay of Alzheimer’s disease (AD) and aging, vascular cognitive impairment and dementia (VCID). These conditions often coexist, contributing to white matter damage, making it harder to isolate their individual contributions. Without a clear understanding of WMH pathologies, the relationship between AD and VCID will remain unsolved, and tailored interventions will remain challenging. To address this gap, we propose an innovative multimodal-neuroimaging approach that integrates modern advanced techniques. The proposed project aims to identify distinct imaging features that characterize the mechanistic, cellular, and hemodynamic aspects of diffuse white matter disease in AD vs. VCID. By employing advanced neuroimaging techniques, including diffusion MRI for cellular microstructure, perfusion MRI for blood flow, and quantitative susceptibility mapping for microbleed and myelination, we will develop an individualized analysis approach to characterize WMHs. This comprehensive approach will differentiate the pathophysiology of periventricular versus deep-brain WMH in relation to AD and vascular risk factors. The goal is to distinguish WMH related to AD from those linked to cardiovascular issues, ultimately improving diagnoses and enabling more personalized and effective intervention for patients facing cognitive decline.

Grant Summary

In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging is a NINDS - National Institute of Neurological Disorders and Stroke grant providing up to $1.9M for university, nonprofit, healthcare org. Applications are due 2029-04-30 (open). Check eligibility and apply with FindGrants.

Focus Areas

health research

Eligibility

universitynonprofithealthcare org

How to Apply

Funding Range

Up to $1.9M

Deadline

2029-04-30

Complexity
Medium
  1. 1Confirm your organization is eligible for In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging from NINDS - National Institute of Neurological Disorders and Stroke, checking organization type, location, and any population or project requirements.
  2. 2Gather the required documents and information, including your organization details, project plan, and budget figures.
  3. 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
  4. 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NINDS - National Institute of Neurological Disorders and Stroke before the deadline.
This record is a past award, contract, or funder profile — useful for research, but not an open grant application. Check the original source for current opportunities from this funder.

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In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging: Frequently Asked Questions

Who is eligible for the In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging?

In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging is offered by NINDS - National Institute of Neurological Disorders and Stroke and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.

How much funding does the In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging provide?

In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging provides up to $1.9M per award from NINDS - National Institute of Neurological Disorders and Stroke. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.

When is the In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging deadline?

Applications for In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging are due 2029-04-30 (open). Because deadlines can change, verify the date with the funder, NINDS - National Institute of Neurological Disorders and Stroke, and give yourself enough time to prepare a complete, competitive application before the close date.

How do you apply for the In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging?

To apply for In Vivo Characterization of White Matter Hyperintensity Using Individualized Analysis of Multimodal Imaging, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NINDS - National Institute of Neurological Disorders and Stroke.

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