Department of Psychology, State University of New York at Binghamton, Vestal, NY, United States of America.
Department of Biomedical Engineering, Boston University, Boston, MA, United States of America.
PLoS One. 2024 May 17;19(5):e0301520. doi: 10.1371/journal.pone.0301520. eCollection 2024.
White matter (WM) changes occur throughout the lifespan at a different rate for each developmental period. We aggregated 10879 structural MRIs and 6186 diffusion-weighted MRIs from participants between 2 weeks to 100 years of age. Age-related changes in gray matter and WM partial volumes and microstructural WM properties, both brain-wide and on 29 reconstructed tracts, were investigated as a function of biological sex and hemisphere, when appropriate. We investigated the curve fit that would best explain age-related differences by fitting linear, cubic, quadratic, and exponential models to macro and microstructural WM properties. Following the first steep increase in WM volume during infancy and childhood, the rate of development slows down in adulthood and decreases with aging. Similarly, microstructural properties of WM, particularly fractional anisotropy (FA) and mean diffusivity (MD), follow independent rates of change across the lifespan. The overall increase in FA and decrease in MD are modulated by demographic factors, such as the participant's age, and show different hemispheric asymmetries in some association tracts reconstructed via probabilistic tractography. All changes in WM macro and microstructure seem to follow nonlinear trajectories, which also differ based on the considered metric. Exponential changes occurred for the WM volume and FA and MD values in the first five years of life. Collectively, these results provide novel insight into how changes in different metrics of WM occur when a lifespan approach is considered.
脑白质(WM)在整个生命周期中以不同的速度发生变化,每个发育阶段的变化速度都不同。我们汇集了来自 2 周至 100 岁参与者的 10879 份结构 MRI 和 6186 份弥散加权 MRI。研究了灰质和 WM 部分体积以及微观结构 WM 特性(全脑和 29 条重建束上)的年龄相关性变化,当适当时,还研究了生物性别和半球的影响。我们通过将线性、三次、二次和指数模型拟合到宏观和微观结构 WM 属性上来研究最能解释年龄相关性差异的曲线拟合。在婴儿期和儿童期 WM 体积首次急剧增加之后,成年期的发育速度会减慢,并且随着年龄的增长而降低。同样,WM 的微观结构特性,特别是各向异性分数(FA)和平均弥散度(MD),在整个生命周期中以独立的速度变化。FA 的总体增加和 MD 的总体降低受到人口统计学因素(例如参与者的年龄)的调节,并且在通过概率追踪重建的某些关联束中显示出不同的半球不对称性。WM 宏观和微观结构的所有变化似乎都遵循非线性轨迹,并且基于所考虑的指标也有所不同。WM 体积、FA 和 MD 值在前五年会发生指数变化。总之,这些结果为考虑寿命方法时 WM 不同指标的变化方式提供了新的见解。