Evidence map›Paper›PMID 40800393›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

A structural heart-brain axis mediates the association between cardiovascular risk and cognitive function.

Akshay Jaggi, Eleanor L S Conole, Zahra Raisi-Estabragh, Polyxeni Gkontra, Celeste McCracken, Liliana Szabo, Stefan Neubauer, Steffen E Petersen, Simon R Cox, Karim Lekadir

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Heart Meets Brain: Insights into Neurocardiac Pathophysiology.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

10 authors.

Akshay JaggiFacultat de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, España.
Eleanor L S ConoleLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom.
Zahra Raisi-EstabraghWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Polyxeni GkontraFacultat de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, España.
Celeste McCrackenDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Liliana SzaboWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Stefan NeubauerDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Simon R CoxLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom.
Karim LekadirFacultat de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated vascular disease risk associates with poorer cognitive function, but the mechanism for this link is poorly understood. A leading theory, the structural-functional model argues that vascular risk may drive adverse cardiac remodelling, which, in turn, leads to chronic cerebral hypoperfusion and subsequent brain structural damage. This model predicts that variation in heart and brain structure should associate with both greater vascular risk and lower cognitive function. This study tests that prediction in a large sample of the UK Biobank (N = 11,962). We assemble and summarise vascular risk factors, cardiac magnetic resonance radiomics, brain structural and diffusion MRI indices, and cognitive assessment. We also extract "heart-brain axes" capturing the covariation in heart and brain structure. Many heart and brain measures partially explain the vascular risk-cognitive function association, like left ventricular end-diastolic volume and grey matter volume. Notably, a heart-brain axis, capturing correlation between lower myocardial intensity, lower grey matter volume, and poorer thalamic white matter integrity, completely mediates the association, supporting the structural-functional model. Our findings also complicate this theory by finding that brain structural variation cannot completely explain the heart structure-cognitive function association. Our results broadly offer evidence for the structural functional hypothesis, identify imaging biomarkers for this association by considering covariation in heart and brain structure, and generate novel hypotheses about how cardiovascular risk may link to cognitive function.

Indexed as

ageingcardiovascular diseasecognitive declineheart-brain axisimaging-derived phenotypesstructural MRI

Identifiers

PMID40800393
PMCPMC12224448

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.