ArticleFrontiers in aging neuroscience2019
Predicted Brain Age After Stroke.
Article in Frontiers in aging neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors associated with brain ageing - a systematic review.BMC neurology · 2021Pooled it
- A composite measure of cerebral small vessel disease predicts cognitive change after stroke.medRxiv : the preprint server for health sciences · 2026Article
- The role of biological age in stroke prediction: evidence from CHARLS and machine learning models.BMC neurology · 2026Article
- Brain age trajectories and cognition after stroke in two longitudinal cohorts.Brain communications · 2026Article
- The Effect of Age on Post-Stroke Language Outcomes.Journal of aging research · 2026Article
- Deep learning-based brain age predicts stroke recurrence in acute ischemic cerebrovascular disease.NPJ digital medicine · 2025Article
- Article
- Profiling X chromosome genes expression relevant to sex dimorphism in stroke: insights from transcriptomics landscape analysis.Frontiers in genetics · 2025Article
- Longitudinal brain ageing after stroke: a marker for neurodegeneration and its relevance for upper limb motor outcome.Brain communications · 2025Article
- Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines.Brain informatics · 2024Article
- Regional brain aging: premature aging of the domain general system predicts aphasia severity.Communications biology · 2024Article
- Acceleration of brain aging after small-volume infarcts.Frontiers in aging neuroscience · 2024Article
- Should individual timeline and serial CT/MRI panels of all patients be presented in acute brain insult cohorts? A pilot study of 45 patients with decompressive craniectomy after aneurysmal subarachnoid hemorrhage.Acta neurochirurgica · 2023Review
- Review
- Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke.Neurology · 2023Observational
- Advanced Brain Age and Chronic Poststroke Aphasia Severity.Neurology · 2023Article
- Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke.Neurology · 2023Article
- Retinal age gap as a predictive biomarker of stroke risk.BMC medicine · 2022Article
- Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer's Disease related neurodegeneration.NeuroImage · 2022Article
- Sex- and age-specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort.Human brain mapping · 2022Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Aging is a known non-modifiable risk factor for stroke. Usually, this refers to chronological rather than biological age. Biological brain age can be estimated based on cortical and subcortical brain measures. For stroke patients, it could serve as a more sensitive marker of brain health than chronological age. In this study, we investigated whether there is a difference in brain age between stroke survivors and control participants matched on chronological age. We estimated brain age at 3 months after stroke, and then followed the longitudinal trajectory over three time-points: within 6 weeks (baseline), at 3 and at 12 months following their clinical event. We found that brain age in stroke participants was higher compared to controls, with the mean difference between the groups varying between 3.9 and 8.7 years depending on the brain measure used for prediction. This difference in brain age was observed at 6 weeks after stroke and maintained at 3 and 12 months after stroke. The presence of group differences already at baseline suggests that stroke might be an ultimate manifestation of gradual cerebrovascular burden accumulation and brain degeneration. Brain age prediction, therefore, has the potential to be a useful biomarker for quantifying stroke risk.
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