Longitudinal brain age prediction and cognitive function after stroke.

Autor: Aamodt EB; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. Electronic address: evabia@ous-hf.no., Alnæs D; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway., de Lange AG; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland; Department of Psychiatry, University of Oxford, Oxford, UK., Aam S; Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway; Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Norway., Schellhorn T; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Saltvedt I; Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway; Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Norway., Beyer MK; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Westlye LT; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway.
Jazyk: angličtina
Zdroj: Neurobiology of aging [Neurobiol Aging] 2023 Feb; Vol. 122, pp. 55-64. Date of Electronic Publication: 2022 Oct 29.
DOI: 10.1016/j.neurobiolaging.2022.10.007
Abstrakt: 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.
(Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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