Evidence map›Paper›PMID 40119105›Full record

ArticleScientific reports2025

Cerebrovascular health impacts processing speed through anterior white matter alterations: a UK biobank study.

Katie L Moran, Craig J Smith, Elizabeth McManus, Stuart M Allan, Daniela Montaldi, Nils Muhlert

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. Review
  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

6 authors.

Katie L MoranDivision of Psychology, Communication and Human Neurosciences, School of Health Sciences, University of Manchester, Manchester, UK. katie.moran@manchester.ac.uk.
Craig J SmithDivision of Cardiovascular Sciences, School of Medical Sciences, University of Manchester, Manchester, UK.
Elizabeth McManusDivision of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK.
Stuart M AllanGeoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, ManchesterManchester, UK.
Daniela MontaldiDivision of Psychology, Communication and Human Neurosciences, School of Health Sciences, University of Manchester, Manchester, UK.
Nils MuhlertDivision of Psychology, Communication and Human Neurosciences, School of Health Sciences, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrovascular disease is associated with an increased likelihood of developing dementia. Cerebrovascular risk factors are modifiable and may reduce the risk of later-life cognitive dysfunction, however, the relationship between cerebrovascular risk factors, brain integrity and cognition remains poorly characterised. Using a UK Biobank sample of mid-to-old aged adults, without neurological disease, our structural equation mediation models showed that poor cerebrovascular health, indicated by the presence of cerebrovascular risk factors, was associated with slowed processing speed. This effect was best explained by anterior white matter microstructure (e.g. genu, anterior corona radiata), rather than posterior (e.g. splenium, posterior corona radiata)-the mediatory effect of anterior white matter strengthened further with age. Effects were also significantly reduced when considering other forms of cognition, demonstrating both regional- and cognitive-specificity. Our findings also illustrate that cerebrovascular risk factors cross-sectionally predict cognitive processing speed performance, which can be further strengthened by accounting for risk factor duration, particularly hypertensive duration. In summary, our study highlights the vulnerability of anterior regions and sensitivity of processing speed performance to cerebrovascular burden, and show this effect is amplified with age. We also highlight an improved method of cerebrovascular burden quantification, which accounts for factor duration, as well as risk factor presence and degree. Future work will aim to establish the role of medication and effective risk factor control in alleviating or preventing white matter pathology and cognitive dysfunction.

Indexed as

Cerebrovascular DisordersWhite MatterAgedBiological Specimen BanksBrainCognitionCognitive DysfunctionCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProcessing SpeedRisk FactorsUK BiobankCerebrovascularCognitionProcessing speedWhite matter

Identifiers

PMID40119105
PMCPMC11928594

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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.