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基于 24 小时示踪剂运动的表观扩散系数估计支持人脑皮层的神经胶质转运。

Apparent diffusion coefficient estimates based on 24 hours tracer movement support glymphatic transport in human cerebral cortex.

机构信息

Department of Mathematics, University of Oslo, Oslo, Norway.

Center for Biomedical Computing, Simula Research Laboratory, Lysaker, Norway.

出版信息

Sci Rep. 2020 Jun 8;10(1):9176. doi: 10.1038/s41598-020-66042-5.

Abstract

The recently proposed glymphatic system suggests that bulk flow is important for clearing waste from the brain, and as such may underlie the development of e.g. Alzheimer's disease. The glymphatic hypothesis is still controversial and several biomechanical modeling studies at the micro-level have questioned the system and its assumptions. In contrast, at the macro-level, there are many experimental findings in support of bulk flow. Here, we will investigate to what extent the CSF tracer distributions seen in novel magnetic resonance imaging (MRI) investigations over hours and days are suggestive of bulk flow as an additional component to diffusion. In order to include the complex geometry of the brain, the heterogeneous CSF flow around the brain, and the transport over the time-scale of days, we employed the methods of partial differential constrained optimization to identify the apparent diffusion coefficient (ADC) that would correspond best to the MRI findings. We found that the computed ADC in the cortical grey matter was 5-26% larger than the ADC estimated with DTI, which suggests that diffusion may not be the only mechanism governing transport.

摘要

最近提出的糖液系统表明,体积流对于清除大脑中的废物很重要,因此可能是阿尔茨海默病等疾病发展的基础。糖液假说仍然存在争议,一些微观水平的生物力学建模研究对该系统及其假设提出了质疑。相比之下,在宏观水平上,有许多实验发现支持体积流。在这里,我们将研究在数小时和数天的新型磁共振成像 (MRI) 研究中观察到的 CSF 示踪剂分布在多大程度上暗示体积流是扩散的附加成分。为了包括大脑的复杂几何形状、大脑周围不均匀的 CSF 流动以及数天时间的转运,我们采用偏微分约束优化的方法来确定与 MRI 发现最吻合的表观扩散系数 (ADC)。我们发现,皮质灰质中的计算 ADC 比 DTI 估计的 ADC 大 5-26%,这表明扩散可能不是控制转运的唯一机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77c8/7280526/00e3c2895f2f/41598_2020_66042_Fig1_HTML.jpg

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