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脑龄和认知年龄预测:量化衰老过程中的大脑和认知维持。

Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging.

机构信息

Department of Psychiatry, University of Oxford, Oxford, UK.

Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.

出版信息

Hum Brain Mapp. 2021 Apr 15;42(6):1626-1640. doi: 10.1002/hbm.25316. Epub 2020 Dec 14.

DOI:10.1002/hbm.25316
PMID:33314530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7978127/
Abstract

The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of neurodegeneration or aging-related brain changes. While both mechanisms are thought to contribute to individual differences in cognitive function among older adults, there is currently no "gold standard" for measuring these constructs. Using machine-learning methods, we estimated brain and cognitive age based on deviations from normative aging patterns in the Whitehall II MRI substudy cohort (N = 537, age range = 60.34-82.76), and tested the degree of correspondence between these constructs, as well as their associations with premorbid IQ, education, and lifestyle trajectories. In line with established literature highlighting IQ as a proxy for cognitive reserve, higher premorbid IQ was linked to lower cognitive age independent of brain age. No strong evidence was found for associations between brain or cognitive age and lifestyle trajectories from midlife to late life based on latent class growth analyses. However, post hoc analyses revealed a relationship between cumulative lifestyle measures and brain age independent of cognitive age. In conclusion, we present a novel approach to characterizing brain and cognitive maintenance in aging, which may be useful for future studies seeking to identify factors that contribute to brain preservation and cognitive reserve mechanisms in older age.

摘要

大脑维护的概念是指在老年时保持大脑的完整性,而认知储备是指在存在神经退行性变或与年龄相关的大脑变化的情况下维持认知的能力。虽然这两种机制都被认为有助于解释老年人群体认知功能的个体差异,但目前还没有测量这些结构的“金标准”。我们使用机器学习方法,根据 Whitehall II MRI 子研究队列(N=537,年龄范围为 60.34-82.76)中偏离正常衰老模式的情况,估计了大脑和认知年龄,并测试了这些结构之间的对应程度,以及它们与病前智商、教育和生活方式轨迹的关联。与强调智商是认知储备的代表的既定文献一致,较高的病前智商与独立于大脑年龄的较低认知年龄相关。基于潜在类别增长分析,没有发现大脑或认知年龄与从中年到老年的生活方式轨迹之间存在强烈关联的证据。然而,事后分析显示,累积生活方式测量与大脑年龄之间存在关联,而与认知年龄无关。总之,我们提出了一种新的方法来描述衰老过程中的大脑和认知维护,这可能对未来研究识别有助于大脑保护和认知储备机制的因素有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/7978127/c3744ec3c4ef/HBM-42-1626-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/7978127/79717069d998/HBM-42-1626-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/7978127/9008c567835a/HBM-42-1626-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/7978127/c3744ec3c4ef/HBM-42-1626-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/7978127/79717069d998/HBM-42-1626-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/7978127/9008c567835a/HBM-42-1626-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/480b/7978127/c3744ec3c4ef/HBM-42-1626-g002.jpg

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