脑脊液动力学:对脑积水和脑泡清除的影响。

Ashley Bissenas, Chance Fleeting, Drashti Patel, Raja Al-Bahou, Aashay Patel, Andrew Nguyen, Maxwell Woolridge, Conner Angelle, Brandon Lucke-Wold
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引用次数: 0

摘要

CSF 除了具有保护神经的作用外,还能通过甘液清除功能排出大脑中的有毒废物。在 HCP 综合征患者中,CSF 循环和甘液交换紊乱很常见,而 HCP 综合征通常是由 SAH 引起的。正常情况下,CSF 的分泌分为两个步骤,包括过滤血浆,然后引入离子、碳酸氢盐和水。蛛网膜颗粒是 CSF 吸收的主要部位,但也有其他影响因素影响这一过程。CSF 的流动路径是从脉络丛的分泌部位到吸收部位。然而,CSF 的流动动态受到心血管系统以及 CSF 与中枢神经系统解剖结构之间相互作用的影响。一维、二维和三维模型是目前研究人员用来预测和描述正常和病理情况下 CSF 流动的方法。然而,这些方法并非没有局限性。考虑到全身分区的 "体表后部 "模型对于理解出血和脑积水导致的脑脊液流动中断可能更为有效。具体来说,SAH 被认为会阻止 CSF 流入基底贮水池和血管旁间隙。此外,由于凝血级联产物的存在,脑脊液更容易发生倒流。关于 CSF 的流体动力学,SAH 造成的瘢痕组织、红细胞和蛋白质含量可能会导致粘度增加、血管直径减小和血管阻力增加。除了对 CSF 流的直接影响外,SAH 还可能导致一种或两种形式的脑积水,包括非交流性(阻塞性)和交流性(非阻塞性)HCP。PC-MRI、Time-SLIP 和 CFD 模型(一种依赖于 PC-MRI 数据的数学模型)等成像模式常用于更好地了解脑脊液流向。PC-MRI 利用相移数据最终确定 CSF 的速度和流动情况,而 Time-SLIP 则将 CSF 产生的信号与背景信号进行比较,以确定复杂的流体动力学特征。目前,脑脊液流动模型和成像模式还存在不足。前瞻性研究领域包括生成考虑 "身体其他部分 "和动脉脉搏波、呼吸波、姿势和颈静脉姿势等元素的模型。展望未来,成像模式应更加关注患者的本质,以适当评估 CSF 流在 SAH 和 HCP 中是如何被破坏的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CSF Dynamics: Implications for Hydrocephalus and Glymphatic Clearance.

Beyond its neuroprotective role, CSF functions to rid the brain of toxic waste products through glymphatic clearance. Disturbances in the circulation of CSF and glymphatic exchange are common among those experiencing HCP syndrome, which often results from SAH. Normally, the secretion of CSF follows a two-step process, including filtration of plasma followed by the introduction of ions, bicarbonate, and water. Arachnoid granulations are the main site of CSF absorption, although there are other influencing factors that affect this process. The pathway through which CSF is through to flow is from its site of secretion, at the choroid plexus, to its site of absorption. However, the CSF flow dynamics are influenced by the cardiovascular system and interactions between CSF and CNS anatomy. One, two, and three-dimensional models are currently methods researchers use to predict and describe CSF flow, both under normal and pathological conditions. They are, however, not without their limitations. "Rest-of-body" models, which consider whole-body compartments, may be more effective for understanding the disruption to CSF flow due to hemorrhages and hydrocephalus. Specifically, SAH is thought to prevent CSF flow into the basal cistern and paravascular spaces. It is also more subject to backflow, caused by the presence of coagulation cascade products. In regard to the fluid dynamics of CSF, scar tissue, red blood cells, and protein content resulting from SAH may contribute to increased viscosity, decreased vessel diameter, and increased vessel resistance. Outside of its direct influence on CSF flow, SAH may result in one or both forms of hydrocephalus, including noncommunicating (obstructive) and communicating (nonobstructive) HCP. Imaging modalities such as PC-MRI, Time-SLIP, and CFD model, a mathematical model relying on PC-MRI data, are commonly used to better understand CSF flow. While PC-MRI utilizes phase shift data to ultimately determine CSF speed and flow, Time-SLIP compares signals generated by CSF to background signals to characterizes complex fluid dynamics. Currently, there are gaps in sufficient CSF flow models and imaging modalities. A prospective area of study includes generation of models that consider "rest-of-body" compartments and elements like arterial pulse waves, respiratory waves, posture, and jugular venous posture. Going forward, imaging modalities should work to focus more on patients in nature in order to appropriately assess how CSF flow is disrupted in SAH and HCP.

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