Longitudinal brain age prediction and cognitive function after stroke.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_801DE83DC5F3
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Longitudinal brain age prediction and cognitive function after stroke.
Journal
Neurobiology of aging
Author(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
Publication state
Published
Issued date
02/2023
Peer-reviewed
Oui
Volume
122
Pages
55-64
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
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.
Keywords
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
Yes
Create date
19/12/2022 11:33
Last modification date
16/11/2023 8:18
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