Evidence map›Paper›PMID 40695794›Full record

ArticleNature communications2025

Accelerated brain ageing during the COVID-19 pandemic.

Ali-Reza Mohammadi-Nejad, Martin Craig, Eleanor F Cox, Xin Chen, R Gisli Jenkins, Susan Francis, Stamatios N Sotiropoulos, Dorothee P Auer

Abstract read
In one paragraph

Article in Nature communications, 2025. 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. Review
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  4. Review
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  7. Population diversity validation for Alzheimer's disease "unifying" models.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Article
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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

8 authors.

Ali-Reza Mohammadi-NejadNational Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom.ORCID http://orcid.org/0000-0002-0710-6700
Martin CraigSir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID http://orcid.org/0000-0003-4956-4512
Eleanor F CoxNational Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom.
Xin ChenSchool of Computer Science, University of Nottingham, Nottingham, United Kingdom.ORCID http://orcid.org/0000-0002-3685-0854
R Gisli JenkinsNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Susan FrancisNational Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom.
Stamatios N Sotiropoulos *National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom. stamatios.sotiropoulos@nottingham.ac.uk.ORCID http://orcid.org/0000-0003-4735-5776
Dorothee P Auer *National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom. dorothee.auer@nottingham.ac.uk.ORCID http://orcid.org/0000-0002-4745-3635

Funding

DH | National Institute for Health Research (NIHR) Nottingham Biomedical Research CentreRCUK | Medical Research Council (MRC) MR/V005324/1RCUK | Medical Research Council (MRC) MR/W014491/1
6 · The paper itself

Abstract

The impact of SARS-CoV-2 and the COVID-19 pandemic on brain health is recognised, yet specific effects remain understudied. We investigate the pandemic's impact on brain ageing using longitudinal neuroimaging data from the UK Biobank. Brain age prediction models are trained from hundreds of multi-modal imaging features using a cohort of 15,334 healthy participants. These models are then applied to an independent cohort of 996 healthy participants with two magnetic resonance imaging scans: either both collected before the pandemic (Control groups), or one before and one after the pandemic onset (Pandemic group). Our findings reveal that, even with initially matched brain age gaps (predicted brain age vs. chronological age) and matched for a range of health markers, the pandemic significantly accelerates brain ageing. The Pandemic group shows on average 5.5-month higher deviation of brain age gap at the second time point compared with controls. Accelerated brain ageing is more pronounced in males and those from deprived socio-demographic backgrounds and these deviations exist regardless of SARS-CoV-2 infection. However, accelerated brain ageing correlates with reduced cognitive performance only in COVID-infected participants. Our study highlights the pandemic's significant impact on brain health, beyond direct infection effects, emphasising the need to consider broader social and health inequalities.

Indexed as

AgingBrainCOVID-19AdultAgedCognitionFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingPandemicsSARS-CoV-2United Kingdom

Identifiers

PMID40695794
PMCPMC12284169

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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.