Evidence map›Paper›PMID 41415497›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Threshold Effects, Cognitive Decline, and Longitudinal Changes in White Matter Hyperintensity Volume.

Sarvin Sasannia, Mykola Matsyuk, Shimeng Wang, Jinwei Zhang, Keenan A Walker, Hyeong-Geol Shin, Richard Leigh, Jerry L Prince, Lewis C Becker, Lisa R Yanek and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Sarvin SasanniaDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Mykola MatsyukNeurocritical Care Division, Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University Hospital, Baltimore, MD, United States.
Shimeng WangDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States.
Jinwei ZhangDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States.
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, United States.ORCID 0000-0002-5989-9853
Hyeong-Geol ShinF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States.
Richard LeighDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-8285-1815
Jerry L PrinceDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States.
Lewis C BeckerDepartment of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0003-4805-3403
Lisa R YanekDepartment of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0001-7117-1075
Nicola J ArmstrongDepartment of Mathematics and Statistics, Curtin University, Perth, Australia.
Peter van ZijlF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States.
Dhananjay VaidyaDepartment of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-7164-1601
Linda KnutssonDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Paul A NyquistDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0001-6078-3543

Funding

Vascular Contributors to Blood Brain Barrier Permeability and Regional White Matter Hyperintensity Progression in Young Asymptomatic PeopleRF1NS128135 · NINDS · JOHNS HOPKINS UNIVERSITY · PI NYQUIST, PAUL ALAN · 2022 to 2022
$2.4M
Vascular Contributors to Blood Brain Barrier Permeability and Regional White Matter Hyperintensity Progression in Young Asymptomatic PeopleR01NS128135 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Paul Alan Nyquist · 2025 to 2026
$1.5M
NINDS NIH HHS R01 NS128135NINDS NIH HHS RF1 NS128135
6 · The paper itself

Abstract

Background: Changes in Ischemic White matter hyperintensities volume (WMH) on MRI over time are associated with cognitive decline. We investigated whether changes in WMH volume over time exhibit WMH-normalized volume threshold effects on declining cognitive performance and whether these effects on cognition differ between deep white matter hyperintensities (DWMH) and periventricular white matter hyperintensities (PVWMH). Methods: We followed 339 participants longitudinally from GeneSTAR with brain MRI and neuropsychological testing at baseline and at 13-years (62% female, and 33% Black, mean baseline age 49.7±9.6). WMH were classified as PVWMH (within 2mm of ventricles) or DWMH. Two-segment linear spline regression models using adjusted mixed linear regression identified test-specific thresholds longitudinally beyond which cognitive decline accelerated. Cognitive scores from both timepoints were treated as repeated measures, with WMH included as a time-varying predictor. Results: Declines in motor function and processing speed accelerated beyond thresholds of changing PVWMH and DWMH volumes. For Grooved Pegboard tests, changes in volume were associated with minimal effects below a threshold of changing volume (log-transformed ratio of lesion volume to intracranial volume for: PVWMH -9.42 to -9.29; and DWMH -11.8 to -11.7). Substantial declines in cognitive performance were observed above thresholds of increases in volume (slope differences: PVWMH; 14.5-15.1 seconds per log-unit, p<0.001; and DWMH; 9.54-10.9, p<0.001). Digit Symbol Substitution Test demonstrated paradoxical positive associations below changing volume thresholds (PVWMH; β=6.68, p=0.001 and DWMH; β=6.98, p<0.001), reversing to decline above thresholds of increase in volume for PVWMH (Δβ=-11.2, p<0.001) and DWMH (Δβ=-9.77, p<0.001). Conclusion: Changes in WMH volume exhibit nonlinear threshold effects on changes in cognitive performance over time and differ by anatomic region. Minimal cognitive impact occurred below thresholds, with accelerated declines above. PVWMH demonstrate larger effects on declining cognitive function than DWMH, particularly for motor and processing speed functions and progresses at a faster rate.

Indexed as

cerebral small vessel diseasecognitiondeep white matter hyperintensitiesperiventricular white matter hyperintensitiesthreshold effects

Identifiers

PMID41415497
PMCPMC12709460

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.