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使用结构磁共振成像预测脑龄:公开可用软件包的临床有效性比较。

Prediction of brain age using structural magnetic resonance imaging: A comparison of clinical validity of publicly available software packages.

作者信息

Dörfel Ruben P, Ozenne Brice, Ganz Melanie, Svensson Jonas E, Plavén-Sigray Pontus

机构信息

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Sweden.

Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet.

出版信息

medRxiv. 2025 Jun 13:2025.03.13.25323902. doi: 10.1101/2025.03.13.25323902.

DOI:10.1101/2025.03.13.25323902
PMID:40585082
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12204421/
Abstract

Brain age estimated from structural magnetic resonance images is commonly used as a biomarker of biological aging and brain health. Ideally, as a clinically valid biomarker, brain age should indicate the current state of health and be predictive of future disease onset and detrimental changes in brain biology. In this preregistered study, we evaluated and compared the clinical validity, i.e., diagnostic and prognostic performance, of six publicly available brain age prediction packages using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Baseline brain age differed significantly between groups consisting of individuals with normal cognitive function, mild cognitive impairment, and Alzheimer's disease for all packages, but with comparable performance to estimates of gray matter volume. Further, brain age estimates were not centered around zero for cognitively normal subjects and showed considerable variation between packages. Finally, brain age was only weakly correlated with disease onset, memory decline, and gray matter atrophy within four years from baseline in individuals without neurodegenerative disease. The systematic discrepancy between chronological age and brain age among healthy subjects, combined with the weak associations between brain age and longitudinal changes in memory performance or gray matter volume, suggests that the current brain age estimates have limited clinical validity as a biomarker for biological aging.

摘要

从结构磁共振图像估计的脑龄通常被用作生物衰老和脑健康的生物标志物。理想情况下,作为一种临床有效的生物标志物,脑龄应能指示当前的健康状态,并预测未来疾病的发作以及脑生物学中的有害变化。在这项预注册研究中,我们使用来自阿尔茨海默病神经影像倡议(ADNI)的数据,评估并比较了六个公开可用的脑龄预测软件包的临床有效性,即诊断和预后性能。对于所有软件包,认知功能正常、轻度认知障碍和阿尔茨海默病患者组成的组之间的基线脑龄存在显著差异,但与灰质体积估计的性能相当。此外,认知正常受试者的脑龄估计并非以零为中心,并且不同软件包之间存在相当大的差异。最后,在没有神经退行性疾病的个体中,从基线起四年内,脑龄与疾病发作、记忆衰退和灰质萎缩仅呈弱相关。健康受试者的实际年龄与脑龄之间的系统差异,再加上脑龄与记忆表现或灰质体积的纵向变化之间的弱关联,表明当前的脑龄估计作为生物衰老的生物标志物,其临床有效性有限。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/5374a3976c35/nihpp-2025.03.13.25323902v3-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/24c900442b2a/nihpp-2025.03.13.25323902v3-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/cb09778126d9/nihpp-2025.03.13.25323902v3-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/1e3b13632d08/nihpp-2025.03.13.25323902v3-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/5374a3976c35/nihpp-2025.03.13.25323902v3-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/24c900442b2a/nihpp-2025.03.13.25323902v3-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/cb09778126d9/nihpp-2025.03.13.25323902v3-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/1e3b13632d08/nihpp-2025.03.13.25323902v3-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a5/12377009/5374a3976c35/nihpp-2025.03.13.25323902v3-f0004.jpg

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本文引用的文献

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