ArticleScientific reports2020
Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled 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.
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.
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Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association Between Pulse Pressure and Structural Brain Changes in Aging: A Systematic Review and Meta-Analysis of Cross-Sectional and Longitudinal Studies.Journal of the American Heart Association · 2025Pooled it
- Cardiometabolic risk factors and brain age: a meta-analysis to quantify brain structural differences related to diabetes, hypertension, and obesity.Journal of psychiatry & neuroscience : JPNPooled it
- Accelerated Brain Aging in Adults With Major Depressive Disorder Predicts Poorer Outcome With Sertraline: Findings From the EMBARC Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Trial
- Your brain doesn't look a day past 70! Cross-sectional associations with brain-predicted age in the cognitively-intact oldest-old.GeroScience · 2026Article
- Metabolic syndrome is associated with accelerated brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Exposome-wide patterns predict brain health in aging.Nature communications · 2026Article
- Brain age gap as biomarker linking cardiovascular diseases genetic susceptibility and causality.iScience · 2026Article
- Shared genetic architecture of brain age gap across 30 cohorts worldwide.medRxiv : the preprint server for health sciences · 2025Article
- Hidden risk: Latent cognitive profiles and structural brain age reveal vulnerability in midlife metabolic syndrome.Journal of the International Neuropsychological Society : JINS · 2025Article
- Brain-age models with lower age prediction accuracy have higher sensitivity for disease detection.PLoS biology · 2025Article
- Association between allostatic load and accelerated white matter brain aging: findings from the UK Biobank.American journal of epidemiology · 2025Article
- Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach.JMIR aging · 2025Article
- Longitudinal tau aggregation, atrophy, and cognitive decline in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Do Transformers and CNNs Learn Different Concepts of Brain Age?Human brain mapping · 2025Article
- Genetically supported targets and drug repurposing for brain aging: A systematic study in the UK Biobank.Science advances · 2025Article
- Human immunodeficiency virus accelerates brain aging and disrupts the trajectory of glymphatic clearance in aging brain.Frontiers in psychiatry · 2025Article
- Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Association between cardiovascular disease risk, regional brain age gap, and cognition in healthy adults.Frontiers in aging neuroscience · 2025Article
- Diabetes, Prediabetes, and Brain Aging: The Role of Healthy Lifestyle.Diabetes care · 2024Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle, environment and disease. We developed a deep neural network model trained on brain MRI scans of healthy people to predict "healthy" brain age. Brain regions most informative for the prediction included the cerebellum, hippocampus, amygdala and insular cortex. We then applied this model to data from an independent group of people not stratified for health. A phenome-wide association analysis of over 1,410 traits in the UK Biobank with differences between the predicted and chronological ages for the second group identified significant associations with over 40 traits including diseases (e.g., type I and type II diabetes), disease risk factors (e.g., increased diastolic blood pressure and body mass index), and poorer cognitive function. These observations highlight relationships between brain and systemic health and have implications for understanding contributions of the latter to late life dementia risk.
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Registered trials
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.