Evidence map›Paper›PMID 40731161›Full record

ArticleScientific reports2025

Damage to white matter networks resulting from small vessel disease and the effects on cognitive function.

Natalie Busby, Janina Wilmskoetter, Roger Newman-Norlund, Sarah Newman-Norlund, Sara Sayers, Sarah C Wilson, Nicholas Riccardi, Alex Teghipco, Rebecca W Roth, Lumi Bakos and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Natalie BusbyDepartment of Communication Sciences and Disorders, University of South Carolina, 915 Green Street, Columbia, SC, 29209, USA. hethern@mailbox.sc.edu.ORCID http://orcid.org/0000-0001-7117-7899
Janina WilmskoetterDepartment of Rehabilitation Sciences, College of Health Professions, Medical University of South Carolina, Charleston, SC, USA.
Roger Newman-NorlundDepartment of Psychology, University of South Carolina, Columbia, SC, USA.
Sarah Newman-NorlundDepartment of Communication Sciences and Disorders, University of South Carolina, 915 Green Street, Columbia, SC, 29209, USA.
Sara SayersDepartment of Communication Sciences and Disorders, University of South Carolina, 915 Green Street, Columbia, SC, 29209, USA.
Sarah C WilsonDepartment of Communication Sciences and Disorders, University of South Carolina, 915 Green Street, Columbia, SC, 29209, USA.
Nicholas RiccardiDepartment of Communication Sciences and Disorders, University of South Carolina, 915 Green Street, Columbia, SC, 29209, USA.
Alex TeghipcoDepartment of Psychology, University of South Carolina, Columbia, SC, USA.
Rebecca W RothDepartment of Neurology, Emory University, Atlanta, GA, USA.
Lumi BakosArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Chris RordenDepartment of Psychology, University of South Carolina, Columbia, SC, USA.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, 915 Green Street, Columbia, SC, 29209, USA.
Leonardo BonilhaSchool of Medicine, University of South Carolina, Columbia, SC, USA.

Funding

University of South Carolina Excellence Initiative Aging Brain Cohort (ABC) Project
6 · The paper itself

Abstract

White matter hyperintensities (WMHs) are prevalent in older age and are associated with cognitive decline. The location and extent of WMHs likely influences the relationship with behavior. Identifying which tracts are more likely impacted by WMHs might enable better understanding of which behaviors are affected. Therefore, this study aimed to i) identify which white matter tracts are most affected by WMHs, and ii) identify tracts where the presence of WMHs is associated with poorer cognitive scores. Participants (N = 212, 20-80 years) completed the Montreal Cognitive Assessment (MoCA). WMHs were manually delineated on FLAIR scans. In DSIStudio, we used the Human Connectome Project 1065FIB template to track how many fibers of each white matter tract intersected each participant's WMH map. Values obtained represent disconnection associated with WMHs. These scores were correlated with age, MoCA total and memory index scores. There was significantly more disconnection with older age in the right arcuate fasciculus, extreme capsule, frontal aslant tract, bilateral inferior, middle and superior longitudinal fasciculi, and the corpus callosum. Disconnection associated with WMHs in the right superior longitudinal fasciculus was significantly associated with a lower MoCA scores. Finally, disconnection in the right extreme capsule, middle and superior longitudinal fascicli, and bilateral frontal aslant tracts were significantly associated with lower MoCA memory index scores. This study highlights the prevalence of WMHs across the lifespan and demonstrates a clear relationship between tract-specific WMHs and cognition. Age-related white-matter degeneration was pronounced in many association fibers, particularly in the right hemisphere. These data suggest age related disruption of specific white matter tracts represents a clear and present risk factor for global cognition and memory as we age.

Indexed as

Cerebral Small Vessel DiseasesCognitionCognitive DysfunctionWhite MatterAdultAgedAged, 80 and overConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultAgingBrain healthCognitionStructural connectivityWhite matter hyperintensities

Identifiers

PMID40731161
PMCPMC12307677

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.