Evidence map›Paper›PMID 30264411›Full record

ArticleAnnals of neurology2018

Development of a cerebrovascular magnetic resonance imaging biomarker for cognitive aging.

Prashanthi Vemuri, Timothy G Lesnick, Scott A Przybelski, Jonathan Graff-Radford, Robert I Reid, Val J Lowe, Samantha M Zuk, Matthew L Senjem, Christopher G Schwarz, Jeffrey L Gunter and 6 more

Abstract read
In one paragraph

Article in Annals of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
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  10. Plasma NfL and GFAP for predicting VCI and related brain changes in community and clinical cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  11. Sleep apnea physiological burdens and markers of white matter injury: the Multi-Ethnic Study of Atherosclerosis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  12. Article
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  15. Article
  16. Article
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  18. Review
  19. Neuroimaging Characteristics of Hearing Loss in the Mayo Clinic Study of Aging.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2024
    Article
  20. Vascular risk, gait, behavioral, and plasma indicators of VCID.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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

16 authors.

Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, MN.
Timothy G LesnickDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Scott A PrzybelskiDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN.
Robert I ReidDepartment of Information Technology, Mayo Clinic, Rochester, MN.
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, MN.
Samantha M ZukDepartment of Radiology, Mayo Clinic, Rochester, MN.
Matthew L SenjemDepartment of Radiology, Mayo Clinic, Rochester, MN.
Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, MN.
Jeffrey L GunterDepartment of Radiology, Mayo Clinic, Rochester, MN.
Kejal KantarciDepartment of Radiology, Mayo Clinic, Rochester, MN.
Mary M MachuldaDepartment of Psychiatry/Psychology, Mayo Clinic, Rochester, MN.
Michelle M MielkeDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN.

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 BU, GUOJUN · 1999 to 2018
$36.9M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Bradley F Boeve, RONALD C PETERSEN · 2019 to 2026
$33.5M
Longitudinal Imaging Biomarkers of Prodromal DLBU01NS100620 · NINDS · MAYO CLINIC ROCHESTER · PI Bradley F Boeve, KEJAL KANTARCI · 2017 to 2026
$19.2M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Prevention of Alzheimer's disease in women: risks and benefits of hormone therapyRF1AG057547 · NIA · MAYO CLINIC ROCHESTER · PI GLEASON, CAREY E, KANTARCI, KEJAL · 2017 to 2020
$11.1M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Sex-Specific Effects of Endocrine Disruption on Aging and Alzheimer's DiseaseU54AG044170 · NIA · MAYO CLINIC ROCHESTER · PI KAPOOR, EKTA · 2018 to 2022
$7.7M
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
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
NCRR NIH HHS C06 RR018898NIA NIH HHS P30 AG062677NIA NIH HHS P50 AG016574NIA NIH HHS P50 AG16574NIA NIH HHS P50 AG16574/P1NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG041851NIA NIH HHS R01 AG056366NIA NIH HHS R01 AG11378NIA NIH HHS R01 AG56366NIA NIH HHS R01 NS097495NIA NIH HHS R37 AG011378NIA NIH HHS RF1 AG057547NIA NIH HHS U01 AG006786NIA NIH HHS U01 AG06786NIA NIH HHS U54 AG044170NIH HHS C06 RR018898NIH HHS R01 AG034676NINDS NIH HHS R01 NS097495NINDS NIH HHS U01 NS100620
6 · The paper itself

Abstract

objectiveRecent availability of amyloid and tau positron emission tomography (PET) has provided us with a unique opportunity to measure the association of systemic vascular health with brain health after accounting for the impact of Alzheimer disease (AD) pathologies. We wanted to quantify early cerebrovascular health-related magnetic resonance imaging brain measures (structure, perfusion, microstructural integrity) and evaluate their utility as a biomarker for cerebrovascular health.

methodsWe used 2 independent samples (discovery, n = 390; validation, n = 1,035) of individuals, aged ≥ 60 years, along the cognitive continuum with imaging from the population-based sample of Mayo Clinic Study of Aging. We ascertained vascular health by summing up recently existing cardiovascular and metabolic conditions (CMC) from health care records (hypertension, hyperlipidemia, cardiac arrhythmias, coronary artery disease, congestive heart failure, diabetes mellitus, and stroke). Using multiple regression models, we quantified associations between CMC and brain health after accounting for age, sex, education/occupation, and AD burden (from amyloid and tau PET).

resultsSystemic vascular health was associated with medial temporal lobe thinning, widespread cerebral hypoperfusion, and loss of microstructural integrity in several white matter tracts including the corpus callosum and fornix. Further investigations suggested that microstructural integrity of the genu of the corpus callosum was suitable for assessing prodromal cerebrovascular health, had similar distributions in the discovery and independent validation datasets, and predicted cognitive performance above and beyond amyloid deposition.

interpretationSystemic vascular health has significant impact on brain structure and function. Quantifying prodromal cerebrovascular health-related brain measures that are independent of AD pathology-related changes has great utility for cognitive aging. Ann Neurol 2018;84:713-724.

Indexed as

Cognitive AgingAgedBrainCardiovascular DiseasesFemaleHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID30264411
PMCPMC6282853

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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.