Evidence map›Paper›PMID 42026147›Full record

ArticleCommunications medicine2026

Cross-organ MRI to assess the relationship between cardiac traits and cerebral white matter hyperintensity volumes.

Adama Fatima Saccoh, Nikhil Paliwal, Sam Quill, Albert Henry, Marion van Vugt, Carole H Sudre, A Floriaan Schmidt

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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

7 authors.

Adama Fatima SaccohDepartment of Population Health and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom. adama.saccoh.22@ucl.ac.uk.ORCID http://orcid.org/0009-0000-9827-7523
Nikhil PaliwalDepartment of Population Health and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.
Sam QuillDepartment of Population Health and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.
Albert HenryDepartment of Population Health and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-7422-2288
Marion van VugtDepartment of Population Health and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-6634-1989
Carole H SudreDepartment of Population Health and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.
A Floriaan SchmidtDepartment of Population Health and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-1327-0424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac disease is linked to early cognitive decline and dementia, with shared risk factors such as hypertension, inactivity, and APOE4 genotype. White matter hyperintensities (WMH) may mediate this association.

methodsWe investigated associations between 29 cardiac MRI (CMR) measures and 5 regional WMH volumes independently of known CVD risk factors. We analysed 30,961 UK biobank participants without pre-existing cardiovascular disease (CVD) or known dementia. We empirically validated the CMR traits by associating these to incidence CVD using Cox's regression models. Linear regression models were used to identify association between 6 regional WMH volumes and cognitive tests outcomes (executive function and processing speed), as well as with 29 CMR traits.

resultsTwenty-one CMR traits associate with heart failure and atrial fibrillation, 10 with coronary heart disease, and 4 with abdominal aortic aneurysm. Frontal and parietal WMH volumes associate with executive function and processing speed. We identify distinct groups of CMR associations where right heart traits (excluding RVEF) primarily associate with parietal WMH volumes, contrasting with the more widespread associations of left cardiac and aortic traits. Higher values of aortic areas, LV mass and wall thickness associate with higher WMH volumes for all brain regions. Furthermore, increased WMH volumes associate with increased minimum and maximum ascending aortic areas. We additionally observe associations between increased biventricular ESV and increased WMH volumes, with increased EF associating with lower WMH volumes.

conclusionsWe show that CMR derived measurements of function and structure associate with regional WMH volumes implicated in executive functioning and processing speed, independently of known cerebrovascular risk factors in people without established disease.

Identifiers

PMID42026147
PMCPMC13309535

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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 Socratic graph.