中风后的纵向脑龄预测与认知功能
Longitudinal brain age prediction and cognitive function after stroke.
作者信息
Aamodt Eva B, Alnæs Dag, de Lange Ann-Marie G, Aam Stina, Schellhorn Till, Saltvedt Ingvild, Beyer Mona K, Westlye Lars T
机构信息
Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
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.
出版信息
Neurobiol Aging. 2023 Feb;122:55-64. doi: 10.1016/j.neurobiolaging.2022.10.007. Epub 2022 Oct 29.
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.
高龄与中风后认知功能衰退有关。基于脑部扫描的机器学习可用于估计患者的脑龄，并且在一系列临床病症中已对相应的与实际年龄的差异，即脑龄差距（BAG）进行了研究，但在中风后神经认知障碍（NCD）方面尚未进行全面研究。我们旨在研究脑龄差距随时间推移与中风后神经认知障碍之间的关联。研究发现，在中风后长达36个月的时间里，较低的脑龄差距（与实际年龄相比脑龄显得更年轻）与中风后神经认知障碍的较低风险相关，即使在入院3个月后未表现出损伤迹象的患者中也是如此。对于基线时无神经认知障碍的患者，生存分析表明，较高的基线脑龄差距与中风后18个月和36个月时神经认知障碍的较高风险相关。总之，脑龄显得更年轻与中风后神经认知障碍的较低风险相关。
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