Evidence map›Paper›PMID 42483814›Full record

ArticleStroke2026

Diffusion MRI Identifies a Prolonged Pre-WMH Phase in Cerebral Small Vessel Disease.

Prashanthi Vemuri, Mingzhao Hu, Emily S Lundt, Michael G Kamykowski, Robert I Reid, Terry M Therneau, Sheelakumari Raghavan, Petrice M Cogswell, Michael E Griswold, B Gwen Windham and 3 more

Abstract read
In one paragraph

Article in Stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Prashanthi VemuriDepartment of Radiology (P.V., S.R., P.M.C., C.R.J.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0003-4286-0589
Mingzhao HuDepartment of Quantitative Health Sciences (M.H., E.S.L., T.M.T.), Mayo Clinic-Rochester, Rochester, MN.
Emily S LundtDepartment of Quantitative Health Sciences (M.H., E.S.L., T.M.T.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0002-4754-8642
Michael G KamykowskiDepartment of Information Technology (M.G.K., R.I.R.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0002-3108-7618
Robert I ReidDepartment of Information Technology (M.G.K., R.I.R.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0003-2391-8650
Terry M TherneauDepartment of Quantitative Health Sciences (M.H., E.S.L., T.M.T.), Mayo Clinic-Rochester, Rochester, MN.
Sheelakumari RaghavanDepartment of Radiology (P.V., S.R., P.M.C., C.R.J.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0001-8652-7011
Petrice M CogswellDepartment of Radiology (P.V., S.R., P.M.C., C.R.J.), Mayo Clinic-Rochester, Rochester, MN.
Michael E GriswoldThe MIND Center, University of Mississippi Medical Center, Jackson (M.E.G., B.G.W.).ORCID 0000-0001-8106-5516
B Gwen WindhamThe MIND Center, University of Mississippi Medical Center, Jackson (M.E.G., B.G.W.).
Clifford R JackDepartment of Radiology (P.V., S.R., P.M.C., C.R.J.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0001-7916-622X
Ronald C PetersenDepartment of Neurology (R.C.P., J.G.-R.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0002-8178-6601
Jonathan Graff-RadfordDepartment of Neurology (R.C.P., J.G.-R.), Mayo Clinic-Rochester, Rochester, MN.ORCID 0000-0003-2770-0691

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
MarkVCID Validation in the General CommunityUF1NS125417 · NINDS · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C, VEMURI, PRASHANTHI · 2021 to 2023
$6.1M
Mobility Decline: Relations to Cerebral Perfusion, Small Vessel Disease Progression, and Longitudinal Blood Pressure ExposuresR01AG054787 · NIA · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2018 to 2021
$2.3M
EXTRAMURAL RES FACIL IMPROVEMENT PROG: POLYCYSTIC KIDNEY DISEASE, RENAL STUDIES,C06RR018898 · NCRR · MAYO CLINIC · PI BURNETT, JOHN C · 2004 to 2004
$2.3M
NCRR NIH HHS C06 RR018898NIA NIH HHS P50 AG016574NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG054787NIA NIH HHS R01 AG056366NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NINDS NIH HHS UF1 NS125417
6 · The paper itself

Abstract

backgroundWhite matter hyperintensities (WMH) are widely used to assess cerebral small vessel disease but reflect late-stage injury. Diffusion magnetic resonance imaging (MRI) biomarkers have been proposed to capture earlier small vessel disease-related microstructural damage but their temporal progression relative to WMH and risk factors associated with progression remain unexplored.

methodsWe identified 2077 participants from the population-based cohort study of the Mayo Clinic Study of Aging in Olmsted County, Minnesota (aged 50-101 years) collected between 05/2005 and 09/2024 with longitudinal neuroimaging. Using multioutput nonlinear mixed-effects models in those with at least 2 fluid-attenuated inversion recovery-MRI and diffusion MRI scans, we characterized the temporal progression of WMH and 4 diffusion MRI biomarkers: fractional anisotropy of the genu of the corpus callosum, peak width of skeletonized mean diffusivity, free water, and Arteriolosclerosis-score, which were automatically estimated. Models incorporated participant-specific time shifts, correlations between biomarkers, and effects of risk factors (sex, education,

resultsThe study population had a mean age of 78 years, 47% were women, 28% were

conclusionsDiffusion MRI biomarkers were abnormal at least a decade before WMH become abnormal in the population, revealing a prolonged phase of early small vessel disease and highlighting their potential for small vessel disease prevention.

Indexed as

Cerebral Small Vessel DiseasesDiffusion Magnetic Resonance ImagingWhite MatterAgedAged, 80 and overCohort StudiesDisease ProgressionFemaleHumansMaleMiddle Agedagingcerebrovascular diseasediffusion magnetic resonance imagingrisk factorssex differences

Identifiers

PMID42483814
PMCPMC13506204

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.