Evidence map›Paper›PMID 41483724›Full record

ArticleNeurobiology of aging2026

Regional growth rates of white matter hyperintensities are associated with beta-amyloid burden.

Jeremy F Strain, Maryam Rahmani, Chia-Ling Phuah, Donna Dierker, Jingqin Luo, Christopher Owen, Andrei G Vlassenko, Hussain Jafri, Pierreck Bourgeat, Jurgen Fripp and 11 more

Abstract read
In one paragraph

Article in Neurobiology of aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

21 authors.

Jeremy F StrainWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA. Electronic address: jstrain@wustl.edu.
Maryam RahmaniWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Chia-Ling PhuahDepartments of Neurology & Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA.
Donna DierkerWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Jingqin LuoWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Christopher OwenWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Andrei G VlassenkoWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Hussain JafriWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Pierreck BourgeatCSIRO Health and Biosecurity, Brisbane, Australia.
Jurgen FrippCSIRO Health and Biosecurity, Brisbane, Australia.
Liang JinThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Melbourne, Australia.
Krista MoulderWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Tammie BenzingerWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Chengjie XiongWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Jin-Moo LeeWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Michael WeinerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Colin L MastersThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Melbourne, Australia.
John C MorrisWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Kyle WomackWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA.
Manu S GoyalWashington University School of Medicine, Washington University in St. Louis, MO 63110, USA. Electronic address: goyalm@wustl.edu.
Alzheimer’s Disease Neuroimaging Initiative, AIBL research group, and OASIS3

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MONICA G. RIVERA-MINDT · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Democratising Machine Learning for researchers working in Alzheimer's spaceR01AG058676 · NIA · UNIVERSITY OF MELBOURNE · PI MASTERS, COLIN · 2018 to 2022
$10.9M
THE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3M
VCID Center Without Walls for Understanding and Leveraging Small Vessel Cerebrovascular Disease Mechanisms in ADRDRF1NS139970 · NINDS · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOYAL, MANU S · 2024 to 2024
$4.4M
NINDS CENTER CORE FOR BRAIN IMAGINGP30NS098577 · NINDS · WASHINGTON UNIVERSITY · PI HERSHEY, TAMARA G, MARCUS, DANIEL SCOTT · 2016 to 2019
$2.4M
DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASER01AG043434 · NIA · WASHINGTON UNIVERSITY · PI ROE, CATHERINE M · 2012 to 2016
$2.4M
An Integrative Computational Multimodal approach to disentangle Pathophysiologic Heterogeneity of age-related White Matter HyperintensitiesR01AG089239 · NIA · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI Chia-Ling Phuah · 2024 to 2026
$2.4M
NCATS NIH HHS UL1 TR000448NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG043434NIA NIH HHS R01 AG058676NIA NIH HHS R01 AG073210NIA NIH HHS R01 AG089239NIA NIH HHS RF1 AG073210NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NIBIB NIH HHS R01 EB009352NINDS NIH HHS P30 NS098577NINDS NIH HHS RF1 NS139970
6 · The paper itself

Abstract

There is increasing evidence for an association between white matter hyperintensities (WMH) and brain beta-amyloid deposition. How WMH are longitudinally associated with brain beta-amyloid burden requires further investigation, particularly with respect to co-existent vascular risk factors and differences across white matter regions. We measured WMH on MRI and vascular risk factors in a combined neuroimaging data set of cognitively normal and individuals with dementia comprised of the ADNI, AIBL and OASIS3 studies, which includes harmonized centiloid estimates of beta-amyloid burden from PET imaging. WMH were measured using the TrUE-Net algorithm. Vascular risk factors were extracted from provided clinical data and used to calculate individual revised Framingham Stroke Risk Profile (FSRP) scores. Linear mixed effects modelling was used to determine the relationship between the growth rate of WMH and baseline beta-amyloid burden, controlling for age, sex, APOE4 status, and vascular risk factors. 1243 participants [49 % female, mean age 71.7 y (SD 7.6 y)] had at least 3 brain MRIs. Linear mixed models demonstrate robust independent cross-sectional relationships between WMH and baseline beta-amyloid burden (beta coefficient=0.27, p < 0.001), age (beta coefficient=0.04, p < 0.001) and vascular risk factors (beta coefficient=0.25, p < 0.001). Growth rates of WMH increased with baseline beta-amyloid burden (slope=0.021, p < 0.001) and decreased with anti-hypertensive medications (slope=-0.019, p = 0.002), above and beyond age, APOE4 status, and other vascular risk factors. The longitudinal association for beta-amyloid burden persisted in a similar analysis for parietal WM. Our study suggests that in Alzheimer disease research cohorts, WMH progression is associated with age and beta-amyloid burden, particularly in parietal white matter, and slowed by anti-hypertensive treatment.

Indexed as

Amyloid beta-PeptidesBrainWhite MatterAgedAged, 80 and overFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyRisk FactorsAmyloid beta-PeptidesAlzheimer DiseaseAmyloidFSRPLongitudinalVascularWhite matter hyperintensities

Identifiers

PMID41483724
PMCPMC12951793

What OpenQuestion holds

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Registered trials

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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.