Evidence map›Paper›PMID 42465945›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Association of Lacunes with Risk Factors, Cognition, and Atrophy: The Multi-Ethnic Study of Atherosclerosis (MESA).

David H Wang, Faiza Azhar, Niyas Shamsudeen, Jose Gutierrez, Sokratis Charisis, Sachintha Ransara Brandigampala, Kyle C Kern, Tanweer Rashid, Paul Jensen, Ilya Nasrallah and 10 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 authors.

David H WangNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.
Faiza AzharNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.
Niyas ShamsudeenNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.
Jose GutierrezDepartment of Neurology, University of Miami, Miami, Florida.
Sokratis CharisisNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.
Sachintha Ransara BrandigampalaNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.
Kyle C KernDepartment of Neurology, UCLA David Geffen School of Medicine and West LA Veterans Affairs Medical Center, Los Angeles, California.ORCID 0000-0002-2703-7669
Tanweer RashidNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.
Paul JensenDepartment of Epidemiology, University of Washington, Seattle, Washington.ORCID 0000-0001-5836-821X
Ilya NasrallahAI2D Center for AI and Data Science for Integrated Diagnostics, and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia.ORCID 0000-0003-2346-7562
Jeffrey B WareDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID 0000-0002-3495-9733
Kevin HiattDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Jordan TanleyDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
R Nick BryanDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
W T LongstrethDepartment of Epidemiology, University of Washington, Seattle, Washington.
Lenore LaunerIntramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-3238-7612
Sudha SeshadriGlenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.ORCID 0000-0001-6135-2622
Timothy M HughesDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-2919-7199
Susan R HeckbertDepartment of Epidemiology, University of Washington, Seattle, Washington.ORCID 0000-0002-7100-512X
Mohamad HabesNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas.ORCID 0000-0001-9447-5805

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Claudia Kimie Suemoto · 2021 to 2026
$24.0M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
Atrial fibrillation burden, vascular disease of the brain and cardiac MRI in MESAR01HL127659 · NHLBI · UNIVERSITY OF WASHINGTON · PI HECKBERT, SUSAN R · 2015 to 2018
$7.4M
Cerebral tau deposition and comorbid cerebrovascular disease across the Alzheimer's disease continuum in Mexican AmericansR01AG085571 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GONZALES, MITZI MICHELLE, HABES, MOHAMAD · 2024 to 2025
$5.7M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
TO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00003 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2020 to 2025
$3.8M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00007 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BERTONI, ALAIN GERALD · 2020 to 2025
$3.5M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL127659NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG080821NIA NIH HHS R01 AG083865NIA NIH HHS R01 AG085571NIEHS NIH HHS 75N98025D00022NIEHS NIH HHS 75N98025D00024NIEHS NIH HHS 75N98025D00025NIEHS NIH HHS 75N98025D00026NIEHS NIH HHS 75N98025D00027NIEHS NIH HHS 75N98025D00028
6 · The paper itself

Abstract

Background: Lacunes are 3-15 mm cavities originating from small perforating artery disease and are a hallmark of cerebral small vessel disease (cSVD). Prior prevalence studies relied on manual rating, which is prone to inter-rater variability and cannot quantify volume. We applied deep learning to quantify lacunes in a diverse community-based cohort. Methods: In this cross-sectional analysis of 1,038 Multi-Ethnic Study of Atherosclerosis (MESA) participants, with longitudinal cognitive follow-up, we quantified lacunes, confirmed them with a trained rater, and classified them as deep or lobar. Regression models examined associations of lacunes with cardiovascular risk factors, other small vessel disease lesions, brain atrophy, and cognition. Structural equation modeling evaluated whether deep lacune burden mediated associations of age or Framingham All-Cardiovascular Disease (CVD) Risk Score with atrophy and cognition. Results: Overall, 182 participants (17.5%) had at least one lacune (deep: 9.2%; lobar: 9.6%). Hispanic participants had lower lacune burden than White participants. Age, Framingham All-CVD Risk Score, PREVENT 10-year Total CVD Risk Score, and hypertension were associated with overall and deep lacunes, while lobar lacunes showed no associations. Deep lacunes were associated with white matter hyperintensities, enlarged perivascular spaces, and cerebral microbleeds, as well as SPARE-BA, SPARE-AD, and cortical and hippocampal atrophy. Deep lacunes were cross-sectionally associated with decreased global cognition and language/semantic performance, and longitudinally with accelerated executive function decline independent of count. Deep lacune burden significantly mediated associations of age and Framingham All-CVD Risk Score with SPARE-AD, SPARE-BA, and global cognition. Conclusions: In this multi-ethnic community-based cohort, deep lacune burden demonstrated stronger associations with vascular risk, other cerebral small vessel disease markers, brain atrophy, and longitudinal executive function decline than lobar burden. By providing a continuous measure of lesion volume, automated quantification captured information beyond lacune count.

Indexed as

cardiovascular risk factorscerebral small vessel diseasecognitive declinedeep learninglacunesmagnetic resonance imaging

Identifiers

PMID42465945
PMCPMC13370560

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LicenceCC BY-ND
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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.