Evidence map›Paper›PMID 40775500›Full record

ArticleScientific reports2025

Complementary MR measures of white matter and their relation to cardiovascular health and cognition.

Petar P Raykov, Marta Correia, Kamen Tsvetanov, Rafael N Henriques, Alberto Del Cerro-León, Matthew Bracher-Smith, Valentina Escott-Price, Yordan P Raykov, Richard N Henson

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

9 authors.

Petar P RaykovMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge, CB2 7EF, UK. petar.raykov@mrc-cbu.cam.ac.uk.
Marta CorreiaMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge, CB2 7EF, UK.
Kamen TsvetanovDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Rafael N HenriquesChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Alberto Del Cerro-LeónCenter for Cognitive and Computational Neuroscience (C3N), Department of Experimental Psychology, Universidad Complutense de Madrid (UCM), Madrid, Spain.
Matthew Bracher-SmithSchool of Medicine, Division of Psychological Medicine and Clinical Neurosciences, University of Cardiff, Cardiff, UK.
Valentina Escott-PriceSchool of Medicine, Division of Psychological Medicine and Clinical Neurosciences, University of Cardiff, Cardiff, UK.
Yordan P RaykovSchool of Mathematical Sciences, University of Nottingham, Nottingham, UK.
Richard N HensonMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge, CB2 7EF, UK.

Funding

Biotechnology and Biological Sciences Research Council Grant BB/H008217/1Medical Research Council SUAG/046/G101400
6 · The paper itself

Abstract

The microstructural and macrostructural integrity of white matter (WM) underpins efficient brain function, and is known to decline with age and vascular burden. Key aspects of WM health include axonal fibre density, myelination, free-water content, and the presence of tissue damage or lesions. Magnetic Resonance Imaging (MRI) offers multiple complementary sequences to non-invasively estimate these properties in vivo. For example, diffusion-weighted imaging (DWI) provides sensitive measures of microstructure, while T1-weighted and T2-weighted MRI can estimate total WM volume and hyper-intensities, and magnetisation transfer imaging (MT) and T1:T2 ratios can indicate myelin content. In this study, we leveraged all of these MRI-derived measures in a large population-based cohort (Cam-CAN) to identify latent WM factors and test how these factors relate to cardiovascular health and cognitive performance. Among 11 commonly-used WM metrics [Fractional Anisotropy (FA); Mean Signal Diffusion (MSD); Mean Signal Kurtosis (MSK); Neurite Density Index (NDI); fibre Orientation Dispersion Index (ODI); Free water volume faction (F

Indexed as

Cardiovascular SystemCognitionMagnetic Resonance ImagingWhite MatterAdultAgedAged, 80 and overDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle Aged

Identifiers

PMID40775500
PMCPMC12332191

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.