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Computational modelling of fluid and solute transport in the brain

机译:液体溶质溶质的计算建模

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The glymphatic system is proposed to be a unidirectional fluid and solute circulation pathway in the brain involving transport through perivascular spaces, brain interstitium and glial cells. Some aspects of the glymphatic hypothesis are controversial, particularly the outflow pathway, and little is known about the forces that govern such fluid transport at each stage. Computational and mathematical modelling approaches can be valuable for testing hypotheses and are a useful adjunct to experimental research in this field. This article presents an overview of computational modelling studies associated with glymphatic fluid transport in the brain, from fluid inflow, transparenchymal transport and outflow. A broad range of modelling approaches have been used to investigate fluid and solute transport from purely analytical models to hydraulic resistance networks and computational fluid dynamics models. Most of the modelling attention has focused on periarterial inflow and transport through the parenchyma. Collectively these studies suggest that arterial pulsation is unlikely to be the sole inflow driving force, and diffusion is most likely the dominant mode of transport in the parenchymal extracellular spaces. Models of efflux are limited and have not been able to shed light on the driving forces for fluid outflow from the central nervous system.
机译:甘露晶状体系统被提出为涉及过血管内空间,脑插孔和神经胶质细胞的脑中的单向流体和溶质循环途径。血栓假设的一些方面是争议的,特别是流出途径,并且关于在每个阶段处控制这种流体输送的力很少。计算和数学建模方法对于测试假设可能是有价值的,并且是该领域的实验研究的有用辅助。本文概述了与大脑中的甘露晶体输送相关的计算建模研究,来自流体流入,透明化学输送和流出。广泛的建模方法已经用于研究流体并从纯分析模型到液压阻力网络和计算流体动力学模型的溶质运输。大多数造型注意力都集中在佩雷松流入和通过实质的运输。总的来说这些研究表明动脉脉动不太可能是唯一的流入驱动力,并且扩散很可能是实质细胞外空间中的主要运输方式。流出的模型是有限的,并且没有能够在中枢神经系统中流出驱动力的驱动力。

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