Evidence map›Paper›PMID 37534614›Full record

ArticleBrain and behavior2023

White matter hyperintensities influence distal cortical β-amyloid accumulation in default mode network pathways.

Doaa G Ali, Ahmed A Bahrani, Riham H El Khouli, Brian T Gold, Yang Jiang, Valentinos Zachariou, Donna M Wilcock, Gregory A Jicha

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Doaa G AliSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.ORCID 0000-0002-1400-6222
Ahmed A BahraniSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Riham H El KhouliDepartment of Radiology, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Brian T GoldSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Yang JiangSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Valentinos ZachariouDepartment of Neuroscience, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Donna M WilcockSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Gregory A JichaSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
University of Kentucky · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
NIA NIH HHS P30 AG072946NIA NIH HHS U01 AG024904NIH HHS NIH P30 AG072946
6 · The paper itself

Abstract

background and purposeCerebral small vessel disease (SVD) has been suggested to contribute to the pathogenesis of Alzheimer's disease (AD). Yet, the role of SVD in potentially contributing to AD pathology is unclear. The main objective of this study was to test the hypothesis that WMHs influence amyloid β (Aβ) levels within connected default mode network (DMN) tracts and cortical regions in cognitively unimpaired older adults.

methodsRegional standard uptake value ratios (SUVr) from Aβ-PET and white matter hyperintensity (WMH) volumes from three-dimensional magnetic resonance imaging FLAIR images were analyzed across a sample of 72 clinically unimpaired (mini-mental state examination ≥26), older adults (mean age 74.96 and standard deviation 8.13) from the Alzheimer's Disease Neuroimaging Initiative (ADNI3). The association of WMH volumes in major fiber tracts projecting from cortical DMN regions and Aβ-PET SUVr in the connected cortical DMN regions was analyzed using linear regression models adjusted for age, sex, ApoE, and total brain volumes.

resultsThe regression analyses demonstrate that increased WMH volumes in the superior longitudinal fasciculus were associated with increased regional SUVr in the inferior parietal lobule (p = .011).

conclusionThe findings suggest that the relation between Aβ in parietal cortex is associated with SVD in downstream white matter (WM) pathways in preclinical AD. The biological relationships and interplay between Aβ and WM microstructure alterations that precede overt WMH development across the continuum of AD progression warrant further study.

Indexed as

Alzheimer DiseaseCognitive DysfunctionWhite MatterAgedAmyloid beta-PeptidesBrainDefault Mode NetworkHumansMagnetic Resonance ImagingAmyloid beta-Peptidesdefault mode networkneuroimagingpreclinical Alzheimer's diseaseregional standardized uptake value ratiowhite matter hyperintensities

Identifiers

PMID37534614
PMCPMC10570488
OpenAlexW4385514994

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.