Evidence map›Paper›PMID 39569745›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Biological validation of peak-width of skeletonized mean diffusivity as a VCID biomarker: The MarkVCID Consortium.

Alison M Luckey, Saptaparni Ghosh, Chen-Pin Wang, Alexa Beiser, Rebecca Bernal, Zhiguang Li, Djass Mbangdadji, Elyas Fadaee, Haykel Snoussi, Angel Gabriel Velarde Dediós and 30 more

Abstract readValidation Study
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Cognitive reserve against vascular contributions to cognitive impairment and dementia: A scoping review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Article
  9. Modeling small vessel disease burden and vascular dementia likelihood from NACC data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
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  12. Article
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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

40 authors.

Alison M LuckeyGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.ORCID 0000-0002-1294-4696
Saptaparni GhoshDepartment of Neurology, Boston Chobanian & Avedisian University School of Medicine, Boston, Massachusetts, USA.
Chen-Pin WangGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Alexa BeiserDepartment of Neurology, Boston Chobanian & Avedisian University School of Medicine, Boston, Massachusetts, USA.
Rebecca BernalGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Zhiguang LiIntramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Gaithersburg, Maryland, USA.
Djass MbangdadjiIntramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Gaithersburg, Maryland, USA.
Elyas FadaeeGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Haykel SnoussiDepartment of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
Angel Gabriel Velarde DediósGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Hector A TrevinoGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Monica GossGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Laura J HillmerCenter for Memory and Aging, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
Christopher E BauerDepartment of Neuroscience, University of Kentucky, Lexington, Kentucky, USA.
Adam M StaffaroniDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California at San Francisco, San Francisco, California, USA.
Lara StablesDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California at San Francisco, San Francisco, California, USA.
Marilyn AlbertDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jayandra J HimaliGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Thomas H MosleyMIND Center, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Lars ForsbergIcelandic Heart Association, Kopavogur, Iceland.
Vilmundur GuðnasonIcelandic Heart Association, Kopavogur, Iceland.
Baljeet SinghDepartment of Neurology, University of California at Davis, Sacramento, California, USA.
Herpreet SinghDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Kristin SchwabDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Joel H KramerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California at San Francisco, San Francisco, California, USA.
Gary A RosenbergCenter for Memory and Aging, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
Karl G HelmerDepartment of Radiology, Harvard Medical School, Charlestown, Massachusetts, USA.
Steven M GreenbergDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Mohamad HabesGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Danny J J WangLaboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Brian T GoldDepartment of Neuroscience, University of Kentucky, Lexington, Kentucky, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Arvind CaprihanThe Mind Research Network, Albuquerque, New Mexico, USA.
Myriam FornageBrown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Lenore J LaunerIntramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Gaithersburg, Maryland, USA.
Konstantinos ArfanakisDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Sudha SeshadriGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Charles DeCarliDepartment of Neurology, University of California at Davis, Sacramento, California, USA.
Pauline MaillardDepartment of Neurology, University of California at Davis, Sacramento, California, USA.
Claudia L SatizabalGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

Funding

UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Charles DeCarli, Rachel A Whitmer · 2021 to 2026
$25.2M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes · 2021 to 2026
$24.0M
University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
VCID Biomarkers Coordinating CenterU24NS100591 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Steven M Greenberg · 2016 to 2026
$19.8M
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
Longitudinal validation of cerebral small vessel disease biomarkers in diverse community-based older adults without dementiaU01NS100599 · NINDS · RUSH UNIVERSITY MEDICAL CENTER · PI ARFANAKIS, KONSTANTINOS, SCHNEIDER, JULIE A. · 2023 to 2025
$3.5M
Multiethnic Validation of VCID Biomarkers in South TexasU01NS125513 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SATIZABAL, CLAUDIA L · 2023 to 2025
$3.3M
Novel Imaging and Biofluid Biomarkers of Small Vessel Cerebrovascular DiseaseU01NS100608 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAMER, JOEL H · 2023 to 2025
$3.2M
Multiethnic machine learning brain signatures of ADRDR01AG080821 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HABES, MOHAMAD · 2022 to 2025
$2.9M
Imaging Cerebral and Retinal Microvasculature in Cerebral Small Vessel DiseaseUH2NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2016 to 2017
$2.4M
Vascular Imaging Biomarker Relationships to Alzheimer’s disease (VIBRA)R01AG083865 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes, Timothy M. Hughes · 2024 to 2026
$2.3M
Development of MRI microvascular biomarkers in cognitive impairment and dementiaUH2NS100588 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S., LU, HANZHANG · 2016 to 2018
$2.3M
National Institute of Neurological Disorders and Stroke (NINDS) U01NS125513National Institute of Neurological Disorders and Stroke (NINDS) U24NS100591National Institute of Neurological Disorders and Stroke (NINDS) UH2NS100588National Institute of Neurological Disorders and Stroke (NINDS) UH2NS100598National Institute of Neurological Disorders and Stroke (NINDS) UH2NS100599National Institute of Neurological Disorders and Stroke (NINDS) UH2NS100605National Institute of Neurological Disorders and Stroke (NINDS) UH2NS100606National Institute of Neurological Disorders and Stroke (NINDS) UH2NS100608National Institute of Neurological Disorders and Stroke (NINDS) UH2NS100614NCATS NIH HHS T32 TR004544NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072946NIA NIH HHS P30 AG072972NIA NIH HHS R01 AG080821NIA NIH HHS R01 AG083865NIA NIH HHS R01 AG085571NINDS NIH HHS U01 NS100599NINDS NIH HHS U01 NS100608NINDS NIH HHS U01 NS125513NINDS NIH HHS U24 NS100591NINDS NIH HHS UH2 NS100588NINDS NIH HHS UH2 NS100598NINDS NIH HHS UH2 NS100599NINDS NIH HHS UH2 NS100605NINDS NIH HHS UH2 NS100606NINDS NIH HHS UH2 NS100608NINDS NIH HHS UH2 NS100614
6 · The paper itself

Abstract

backgroundPeak-width of skeletonized mean diffusivity (PSMD), a neuroimaging marker of cerebral small vessel disease (SVD), has shown excellent instrumental properties. Here, we extend our work to perform a biological validation of PSMD.

methodsWe included 396 participants from the Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID-1) Consortium and three replication samples (Cohorts for Heart and Aging Research in Genomic Epidemiology = 6172, Rush University Medical Center = 287, University of California Davis Alzheimer's Disease Research Center = 567). PSMD was derived from diffusion tensor imaging using an automated algorithm. We related PSMD to a composite measure of general cognitive function using linear regression models adjusting for confounders.

resultsHigher PSMD was associated with lower general cognition in MarkVCID-1 independent of age, sex, education, and intracranial volume (Beta [95% confidence interval], -0.8 [-1.2, -0.4], P < 0.001). These findings were replicated in independent samples. Furthermore, PSMD explained cognitive status above and beyond white matter hyperintensities. DISCUSSION: Our biological validation work supports the pursuit of larger clinical validation studies evaluating PSMD as a susceptibility/risk biomarker of small vessel disease contributing to cognitive impairment and dementia. HIGHLIGHTS: Peak-width of skeletonized mean diffusivity (PSMD) is a novel small vessel disease neuroimaging biomarker. A prior instrumental validation study demonstrated that PSMD is a robust biomarker. This biological validation study shows that high PSMD relates to worse cognition. PSMD explains cognitive function above and beyond white matter hyperintensities. Future clinical validation will assess PSMD as a vascular contribution to cognitive impairment and dementia biomarker in clinical trials.

Indexed as

BiomarkersCognitive DysfunctionDiffusion Tensor ImagingAgedAged, 80 and overBrainCerebral Small Vessel DiseasesDementia, VascularFemaleHumansMaleMiddle AgedNeuroimagingBiomarkersbiomarkercognitive impairmentdiffusion tensor imagingpeak‐width of skeletonized mean diffusivitysmall vessel diseasevascular contributions to cognitive impairment and dementia

Identifiers

PMID39569745
PMCPMC11667514

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