Evidence map›Paper›PMID 34290597›Full record

ArticleFrontiers in aging neuroscience2021

White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion.

Christopher E Bauer, Valentinos Zachariou, Elayna Seago, Brian T Gold

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Celebrating 40 years of the University of Kentucky Alzheimer's Disease Research Center.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Advanced MRI in cerebral small vessel disease.International journal of stroke : official journal of the International Stroke Society · 2023
    Review
  13. Article
  14. Article
  15. 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

4 authors.

Christopher E BauerDepartment of Neuroscience, University of Kentucky, Lexington, KY, United States.
Valentinos ZachariouDepartment of Neuroscience, University of Kentucky, Lexington, KY, United States.
Elayna SeagoDepartment of Neuroscience, University of Kentucky, Lexington, KY, United States.
Brian T GoldDepartment of Neuroscience, University of Kentucky, Lexington, KY, United States.

Funding

University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 2006 to 2020
$23.3M
Contributions of Alzheimer's Pathology and Cerebrovascular Factors to Cognitive AgingR01AG055449 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY · 2017 to 2021
$2.3M
Essential Siemens Prisma Fit Upgrade for the University of Kentucky 3T Research ScannerS10OD023573 · OD · UNIVERSITY OF KENTUCKY · PI SMITH, CHARLES DENNIS · 2017 to 2017
$813k
NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG055449NIH HHS S10 OD023573
6 · The paper itself

Abstract

Cerebral white matter hyperintensities (WMHs) represent macrostructural brain damage associated with various etiologies. However, the relative contributions of various etiologies to WMH volume, as assessed via different neuroimaging measures, is not well-understood. Here, we explored associations between three potential early markers of white matter hyperintensity volume. Specifically, the unique variance in total and regional WMH volumes accounted for by white matter microstructure, brain iron concentration and cerebral blood flow (CBF) was assessed. Regional volumes explored were periventricular and deep regions. Eighty healthy older adults (ages 60-86) were scanned at 3 Tesla MRI using fluid-attenuated inversion recovery, diffusion tensor imaging (DTI), multi-echo gradient-recalled echo and pseudo-continuous arterial spin labeling sequences. In a stepwise regression model, DTI-based radial diffusivity accounted for significant variance in total WMH volume (adjusted

Indexed as

brain ironcerebral perfusioncerebral small vessel diseaseDTIQSMwhite matter hyperintensities

Identifiers

PMID34290597
PMCPMC8287527

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.