Innovations and challenges in predicting cognitive trajectories after stroke
Author:
Affiliation:
1. Nuffield Department of Clinical Neurosciences, University of Oxford , Oxford OX3 9DU ,
2. Queensland Brain Institute, The University of Queensland , St. Lucia, QLD 4072 ,
Abstract
Funder
National Institute for Health Research
NIHR
NHS
Department of Health and Social Care
Australian Research Council Discovery Early Career Researcher
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/braincomms/advance-article-pdf/doi/10.1093/braincomms/fcae364/59787874/fcae364.pdf
Reference10 articles.
1. Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms;Matsulevits;Brain Commun,2024
2. Risk factors for cognitive impairment and dementia after stroke: A systematic review and meta-analysis;Filler;Lancet Healthy Longev,2024
3. Domain-specific cognitive impairment 6 months after stroke: The value of early cognitive screening;Milosevich;Int J Stroke,2024
4. Association of neuroimaging markers on clinical CT scans with domain-specific cognitive impairment in the early and later post-stroke stages;Hobden;Neurology,2023
5. Post-stroke cognition with the Oxford Cognitive Screen vs Montreal Cognitive Assessment: A multi-site randomized controlled study (OCS-CARE);Demeyere;AMRC Open Res,2019
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Post Stroke Cognitive Impairment: more than a lesion-symptom model;2025-02-21
2. Development and validation of a clinical prediction model of domain-specific post-stroke cognitive impairment;2024-09-06
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