Longitudinal brain age prediction and cognitive function after stroke.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_801DE83DC5F3
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Longitudinal brain age prediction and cognitive function after stroke.
Périodique
Neurobiology of aging
Auteur⸱e⸱s
Aamodt E.B., Alnæs D., de Lange A.G., Aam S., Schellhorn T., Saltvedt I., Beyer M.K., Westlye L.T.
ISSN
1558-1497 (Electronic)
ISSN-L
0197-4580
Statut éditorial
Publié
Date de publication
02/2023
Peer-reviewed
Oui
Volume
122
Pages
55-64
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
Advanced age is associated with post-stroke cognitive decline. Machine learning based on brain scans can be used to estimate brain age of patients, and the corresponding difference from chronological age, the brain age gap (BAG), has been investigated in a range of clinical conditions, yet not thoroughly in post-stroke neurocognitive disorder (NCD). We aimed to investigate the association between BAG and post-stroke NCD over time. Lower BAG (younger appearing brain compared to chronological age) was found associated with lower risk of post-stroke NCD up to 36 months after stroke, even among those showing no evidence of impairments 3 months after hospital admission. For patients with no NCD at baseline, survival analysis suggested that higher baseline BAG was associated with higher risk of post-stroke NCD at 18 and 36 months. In conclusion, a younger appearing brain is associated with a lower risk of post-stroke NCD.
Mots-clé
Humans, Brain/diagnostic imaging, Stroke/complications, Cognition, Cognitive Dysfunction/psychology, Neurocognitive Disorders, Aging, Biomarker, Cognitive decline, Imaging, Longitudinal, Post-stroke dementia
Pubmed
Web of science
Open Access
Oui
Création de la notice
19/12/2022 11:33
Dernière modification de la notice
16/11/2023 8:18
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