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

被引:0
作者
Kurt G. Schilling
Derek Archer
Fang-Cheng Yeh
Francois Rheault
Leon Y. Cai
Colin Hansen
Qi Yang
Karthik Ramdass
Andrea T. Shafer
Susan M. Resnick
Kimberly R. Pechman
Katherine A. Gifford
Timothy J. Hohman
Angela Jefferson
Adam W. Anderson
Hakmook Kang
Bennett A. Landman
机构
[1] Vanderbilt University Medical Center,Department of Radiology and Radiological Sciences
[2] Vanderbilt University Medical Center,Vanderbilt Memory and Alzheimer’s Center
[3] Vanderbilt University Medical Center,Department of Neurology
[4] Vanderbilt Genetics Institute,Department of Medicine
[5] Vanderbilt University School of Medicine,Department of Neurological Surgery
[6] Vanderbilt University Medical Center,Department of Electrical Engineering and Computer Science
[7] University of Pittsburgh Medical Center,Laboratory of Behavioral Neuroscience
[8] Vanderbilt University,Department of Biomedical Engineering
[9] National Institute on Aging,Department of Biostatistics
[10] National Institutes of Health,Department of Bioengineering
[11] Vanderbilt University,undefined
[12] Vanderbilt University,undefined
[13] University of Pittsburgh,undefined
来源
Brain Structure and Function | 2022年 / 227卷
关键词
White matter; Aging; Tractography; Volume; Diffusion MRI;
D O I
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中图分类号
学科分类号
摘要
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.
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页码:2111 / 2125
页数:14
相关论文
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