Superficial white matter across development, young adulthood, and aging: volume, thickness, and relationship with cortical features.

Superficial white matter across development, young adulthood, and aging: volume, thickness, and relationship with cortical features.
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DOI:
10.1007/s00429-023-02642-x
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发表时间:
2023-05
影响因子:
3.1
通讯作者:
Landman, Bennett A.
Landman, Bennett A.
中科院分区:
医学3区
文献类型:
--
作者:
Schilling, Kurt G.;Archer, Derek;Rheault, Francois;Lyu, Ilwoo;Huo, Yuankai;Cai, Leon Y.;Bunge, Silvia A.;Weiner, Kevin S.;Gore, John C.;Anderson, Adam W.;Landman, Bennett A.

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表面白色物质(SWM)代表了人类大脑的一个显著研究不足的部分,尽管包括脑体积的大部分,并构成了大部分的皮质-皮质白色物质连接。使用多个高质量的大样本数据集(N = 2421,年龄范围5-100),结合纤维束成像的方法学进展,我们量化了整个大脑以及整个发育,青年和衰老过程中SWM体积和厚度的特征。我们有四个主要目标:(1)表征跨脑区域的SWM厚度(2)描述SWM体积与年龄之间的关联(3)描述SWM厚度与年龄之间的关联,以及(4)量化SWM厚度与皮质特征之间的关系。我们的主要发现是:(1)SWM厚度在整个大脑中是变化的,在区域水平和顶点水平上,在个体和群体之间具有稳健的模式;(2)SWM体积随年龄显示出独特的体积轨迹,与灰质和其他白色物质的轨迹不同;(3)SWM厚度在整个寿命中显示出非线性的横截面变化,这些变化在区域之间变化;(4)SWM厚度与皮质厚度和曲率有关。我们第一次发现,SWM体积遵循与整体白色物质体积相似的趋势,在青春期的相似时间达到峰值,在整个成年期趋于平稳,此后随着年龄的增长而下降。值得注意的是,SWM的总脑体积的相对分数随着年龄的增长而不断增加,因此占据了总白色物质体积的更大比例,不像其他组织类型相对于总脑体积减少。这项研究代表了SWM功能在整个生命周期的大部分的第一个表征,并提供了表征正常衰老和洞察与SWM的发展和下降相关的机制的背景。
Superficial white matter (SWM) represents a significantly understudied part of the human brain, despite comprising a large portion of brain volume and making up a majority of cortico-cortical white matter connections. Using multiple, high-quality datasets with large sample sizes (N = 2421, age range 5–100) in combination with methodological advances in tractography, we quantified features of SWM volume and thickness across the brain and across development, young adulthood, and aging. We had four primary aims: (1) characterize SWM thickness across brain regions (2) describe associations between SWM volume and age (3) describe associations between SWM thickness and age, and (4) quantify relationships between SWM thickness and cortical features. Our main findings are that (1) SWM thickness varies across the brain, with patterns robust across individuals and across the population at the region-level and vertex-level; (2) SWM volume shows unique volumetric trajectories with age that are distinct from gray matter and other white matter trajectories; (3) SWM thickness shows nonlinear cross-sectional changes across the lifespan that vary across regions; and (4) SWM thickness is associated with features of cortical thickness and curvature. For the first time, we show that SWM volume follows a similar trend as overall white matter volume, peaking at a similar time in adolescence, leveling off throughout adulthood, and decreasing with age thereafter. Notably, the relative fraction of total brain volume of SWM continuously increases with age, and consequently takes up a larger proportion of total white matter volume, unlike the other tissue types that decrease with respect to total brain volume. This study represents the first characterization of SWM features across the large portion of the lifespan and provides the background for characterizing normal aging and insight into the mechanisms associated with SWM development and decline.
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