Brains Under Stress: Unravelling the Effects of the COVID-19 Pandemic on Brain Ageing
Mohammadi-Nejad, A.-R.; Craig, M.; Cox, E.; Chen, X.; Jenkins, R. G.; Francis, S.; Sotiropoulos, S.; Auer, D. P.
Show abstract
The impact of SARS-CoV-2 and the COVID-19 pandemic on cognitive and mental health is recognised, yet specific effects on brain health remain understudied. We investigated the pandemics impact on brain ageing using longitudinal neuroimaging data from the UK Biobank. Brain age prediction models were trained from hundreds of multi-modal imaging features using a cohort of 15,334 healthy participants. These models were then applied to an independent cohort of 1,336 participants with two MRI 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), the pandemic significantly accelerated brain ageing. The "Pandemic" group showed on average 11-month higher deviation of brain age gap at the second time point compared with controls. Accelerated brain ageing was more pronounced in males and those from deprived socio-demographic backgrounds, with average increases of 3.3 and 7 months, respectively. These deviations existed regardless of SARS-CoV-2 infection. However, accelerated brain ageing correlated with reduced cognitive performance only in COVID-infected participants. Our study highlights the pandemics significant impact on brain health, beyond direct infection effects, emphasising the need to consider broader social and health inequalities.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Using deep learning to predict age from liver and pancreas magnetic resonance images allows the identification of genetic and non-genetic factors associated with abdominal aging 96%
- Precision Estimates of Longitudinal Brain Aging Capture Unexpected Individual Differences in One Year 95%
- Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan 95%
Similar papers in this journal
- Multi-organ and Multi-omics Biological Aging Clocks: Generation, Interpretation, and Application 94%
- Deep Learning Shows Cellular Senescence Is a Barrier to Cancer Development 94%
- Heterochronic parabiosis reprograms the mouse brain transcriptome by shifting aging signatures in multiple cell types 94%
Similar papers in this journal
- Multinational evaluation of anthropometric age (AnthropoAge) as a measure of biological age in the USA, England, Mexico, Costa Rica, and China: a population-based longitudinal study 95%
- Divergent patterns of healthy aging across human brain regions at single-cell resolution reveal links to neurodegenerative disease 94%
- LinAge2: Providing actionable insights and benchmarking with epigenetic clocks 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.