Evidence map›Paper›PMID 34171312›Full record

ArticleJournal of neuroscience methods2021

Development of a protocol to assess within-subject, regional white matter hyperintensity changes in aging and dementia.

Ahmed A Bahrani, Charles D Smith, Justin M Barber, Omar M Al-Janabi, David K Powell, Anders H Andersen, Brandon D Ramey, Erin L Abner, Larry B Goldstein, Zachary Winder and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. 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

14 authors at 2 institutions in 2 countries.

Ahmed A BahraniSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA; Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA; Biomedical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq.
Charles D SmithSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA; Magnetic Resonance Imaging and Spectroscopy Center (MRISC), University of Kentucky, Lexington, KY 40506, USA; Departments of Neurology, University of Kentucky, Lexington, KY 40506, USA.
Justin M BarberSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA.
Omar M Al-JanabiSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA.
David K PowellMagnetic Resonance Imaging and Spectroscopy Center (MRISC), University of Kentucky, Lexington, KY 40506, USA.
Anders H AndersenMagnetic Resonance Imaging and Spectroscopy Center (MRISC), University of Kentucky, Lexington, KY 40506, USA.
Brandon D RameySanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA.
Erin L AbnerSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA; Department of Epidemiology, University of Kentucky, Lexington, KY 40506, USA; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, USA.
Larry B GoldsteinDepartments of Neurology, University of Kentucky, Lexington, KY 40506, USA.
Zachary WinderSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA; Department of Physiology, University of Kentucky, Lexington, KY 40506, USA.
Brian T GoldSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA; Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY 40536, USA.
Linda Van EldikSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA.
Donna M WilcockSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA; Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY 40536, USA.
Gregory A JichaSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA; Departments of Neurology, University of Kentucky, Lexington, KY 40506, USA; Departments of Behavioral Science, University of Kentucky, Lexington, KY 40536, USA. Electronic address: gregory.jicha@uky.edu.
University of Kentucky · USUniversity of Baghdad · IQ

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
Modulation of microRNA pathways by gemfibrozil in predementia Alzheimer diseaseR01AG042419 · NIA · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, NELSON, PETER T. · 2013 to 2016
$1.6M
Small vessel disease biomarkers in a longitudinally-followed "stroke-belt" cohortUH2NS100606 · NINDS · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, WILCOCK, DONNA M · 2016 to 2017
$1.4M
NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG042419NINDS NIH HHS UH2 NS100606
6 · The paper itself

Abstract

backgroundWhite matter hyperintensities (WMH), associated with both dementia risk and progression, can individually progress, remain stable, or even regress influencing cognitive decline related to specific cerebrovascular-risks. This study details the development and validation of a registration protocol to assess regional, within-subject, longitudinal WMH changes (ΔWMH) that is currently lacking in the field. NEW

method3D-FLAIR images (baseline and one-year-visit) were used for protocol development and validation. The method was validated by assessing the correlation between forward and reverse longitudinal registration, and between summated regional progression-regression volumes and Global ΔWMH. The clinical relevance of growth-regression ΔWMH were explored in relation to an executive function test.

resultsMRI scans for 79 participants (73.5 ± 8.8 years) were used in this study. Global ΔWMH vs. summated regional progression-regression volumes were highly associated (r2 = 0.90; p-value < 0.001). Bi-directional registration validated the registration method (r2 = 0.999; p-value < 0.001). Growth and regression, but not overall ΔWMH, were associated with one-year declines in performance on Trial-Making-Test-B. COMPARISON WITH EXISTING METHOD(S): This method presents a unique registration protocol for maximum tissue alignment, demonstrating three distinct patterns of longitudinal within-subject ΔWMH (stable, growth and regression).

conclusionsThese data detail the development and validation of a registration protocol for use in assessing within-subject, voxel-level alterations in WMH volume. The methods developed for registration and intensity correction of longitudinal within-subject FLAIR images allow regional and within-lesion characterization of longitudinal ΔWMH. Assessing the impact of associated cerebrovascular-risks and longitudinal clinical changes in relation to dynamic regional ΔWMH is needed in future studies.

Indexed as

Cognitive DysfunctionDementiaWhite MatterAgingHumansMagnetic Resonance ImagingAgingCerebrovascular diseaseDementiaLongitudinalSmall vessel ischemic diseaseWhite matter hyperintensity

Identifiers

PMID34171312
PMCPMC8513808
OpenAlexW3173787727

What OpenQuestion holds

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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.