人体皮层微结构中与年龄有关的差异取决于与最近静脉的距离。

IF 4.1 Q1 CLINICAL NEUROLOGY
Brain communications Pub Date : 2024-09-19 eCollection Date: 2024-01-01 DOI:10.1093/braincomms/fcae321
Christoph Knoll, Juliane Doehler, Alicia Northall, Stefanie Schreiber, Johanna Rotta, Hendrik Mattern, Esther Kuehn
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引用次数: 0

摘要

大脑皮层微观结构中与年龄有关的差异可用于了解人脑老化的神经元机制。脑血管有助于大脑皮层的老化,但其与大脑皮层微观结构之间的确切相互作用却鲜为人知。在一项横断面研究中,我们将静脉成像与血管距离绘图相结合,研究静脉距离与初级躯体感觉皮层、初级运动皮层以及作为非感觉运动控制区的额叶皮层其他区域的微观结构的年龄相关差异之间的相互作用。我们使用 7 特斯拉核磁共振成像扫描了 18 名年轻人和 17 名老年人,以 0.5 毫米各向同性分辨率测量纵向弛豫时间(T1)和定量易感性图谱(QSM)值与年龄相关的变化。我们使用等体积方法模拟了不同的皮层深度,并使用血管距离图评估了每个体素与其最近静脉的距离。我们的数据显示,皮质定量 T1 值和 QSM 正值与静脉距离有关。此外,静脉距离和年龄对定量 T1 值的影响是相互影响的,在距离静脉较近的体素中,老年人的定量 T1 值低于年轻人。总之,我们的数据表明,局部静脉结构可以解释皮质微观结构标准测量中的大量差异,在人脑组织和皮质老化的神经生物学模型中应加以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Age-related differences in human cortical microstructure depend on the distance to the nearest vein.

Age-related differences in cortical microstructure are used to understand the neuronal mechanisms that underlie human brain ageing. The cerebral vasculature contributes to cortical ageing, but its precise interaction with cortical microstructure is poorly understood. In a cross-sectional study, we combine venous imaging with vessel distance mapping to investigate the interaction between venous distances and age-related differences in the microstructural architecture of the primary somatosensory cortex, the primary motor cortex and additional areas in the frontal cortex as non-sensorimotor control regions. We scanned 18 younger adults and 17 older adults using 7 Tesla MRI to measure age-related changes in longitudinal relaxation time (T1) and quantitative susceptibility mapping (QSM) values at 0.5 mm isotropic resolution. We modelled different cortical depths using an equi-volume approach and assessed the distance of each voxel to its nearest vein using vessel distance mapping. Our data reveal a dependence of cortical quantitative T1 values and positive QSM values on venous distance. In addition, there is an interaction between venous distance and age on quantitative T1 values, driven by lower quantitative T1 values in older compared to younger adults in voxels that are closer to a vein. Together, our data show that the local venous architecture explains a significant amount of variance in standard measures of cortical microstructure and should be considered in neurobiological models of human brain organisation and cortical ageing.

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