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衰老与脑白质微观结构和宏观结构:1218 名参与者的纵向多部位弥散磁共振成像研究。

Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants.

机构信息

Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.

Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA.

出版信息

Brain Struct Funct. 2022 Jul;227(6):2111-2125. doi: 10.1007/s00429-022-02503-z. Epub 2022 May 23.

Abstract

Quantifying the microstructural and macrostructural geometrical features of the human brain's connections is necessary for understanding normal aging and disease. Here, we examine brain white matter diffusion magnetic resonance imaging data from one cross-sectional and two longitudinal data sets totaling in 1218 subjects and 2459 sessions of people aged 50-97 years. Data was drawn from well-established cohorts, including the Baltimore Longitudinal Study of Aging data set, Cambridge Centre for Ageing Neuroscience data set, and the Vanderbilt Memory & Aging Project. Quantifying 4 microstructural features and, for the first time, 11 macrostructure-based features of volume, area, and length across 120 white matter pathways, we apply linear mixed effect modeling to investigate changes in pathway-specific features over time, and document large age associations within white matter. Conventional diffusion tensor microstructure indices are the most age-sensitive measures, with positive age associations for diffusivities and negative age associations with anisotropies, with similar patterns observed across all pathways. Similarly, pathway shape measures also change with age, with negative age associations for most length, surface area, and volume-based features. A particularly novel finding of this study is that while trends were homogeneous throughout the brain for microstructure features, macrostructural features demonstrated heterogeneity across pathways, whereby several projection, thalamic, and commissural tracts exhibited more decline with age compared to association and limbic tracts. The findings from this large-scale study provide a comprehensive overview of the age-related decline in white matter and demonstrate that macrostructural features may be more sensitive to heterogeneous white matter decline. Therefore, leveraging macrostructural features may be useful for studying aging and could facilitate comparisons in a variety of diseases or abnormal conditions.

摘要

量化人类大脑连接的微观结构和宏观结构几何特征对于理解正常衰老和疾病是必要的。在这里,我们检查了来自一个横断面和两个纵向数据集的大脑白质扩散磁共振成像数据,这些数据共涉及 1218 名年龄在 50-97 岁的受试者和 2459 次检查。数据来自成熟的队列,包括巴尔的摩老龄化纵向研究数据集、剑桥认知老化神经科学数据集和范德比尔特记忆与衰老项目。我们量化了 4 种微观结构特征,以及首次量化了 120 条白质通路的体积、面积和长度的 11 种基于宏观结构的特征,我们应用线性混合效应模型来研究特定通路特征随时间的变化,并记录了白质内的大年龄关联。传统的扩散张量微观结构指数是最敏感的年龄测量指标,各向异性扩散度呈正相关,各向异性呈负相关,所有通路都观察到类似的模式。同样,通路形状测量值也随年龄变化而变化,大多数基于长度、表面积和体积的特征与年龄呈负相关。这项研究的一个特别新颖的发现是,尽管微观结构特征的趋势在整个大脑中是均匀的,但宏观结构特征在通路之间表现出异质性,几个投射、丘脑和连合束与联合和边缘束相比,随着年龄的增长表现出更多的衰退。这项大规模研究的结果提供了白质与年龄相关衰退的全面概述,并表明宏观结构特征可能对白质的异质性衰退更敏感。因此,利用宏观结构特征可能有助于研究衰老,并可以促进在各种疾病或异常情况下的比较。

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