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用于体内脑脊液流动定量分析的图像分析技术

Image analysis techniques for in vivo quantification of cerebrospinal fluid flow.

作者信息

Kim Daehyun, Gan Yiming, Nedergaard Maiken, Kelley Douglas H, Tithof Jeffrey

机构信息

Department of Mechanical Engineering, University of Minnesota, 111 Church St SE, Minneapolis, MN 55455, United States.

Department of Mechanical Engineering, University of Rochester, Hopeman Engineering Bldg, Rochester, NY 14627, United States.

出版信息

Exp Fluids. 2023 Nov;64(11). doi: 10.1007/s00348-023-03719-3. Epub 2023 Oct 30.

Abstract

Over the past decade, there has been a tremendously increased interest in understanding the neurophysiology of cerebrospinal fluid (CSF) flow, which plays a crucial role in clearing metabolic waste from the brain. This growing interest was largely initiated by two significant discoveries: the glymphatic system (a pathway for solute exchange between interstitial fluid deep within the brain and the CSF surrounding the brain) and meningeal lymphatic vessels (lymphatic vessels in the layer of tissue surrounding the brain that drains CSF). These two CSF systems work in unison, and their disruption has been implicated in several neurological disorders including Alzheimer's disease, stroke, and traumatic brain injury. Here, we present experimental techniques for quantification of CSF flow via direct imaging of fluorescent microspheres injected into the CSF. We discuss detailed image processing methods, including registration and masking of stagnant particles, to improve the quality of measurements. We provide guidance for quantifying CSF flow through particle tracking and offer tips for optimizing the process. Additionally, we describe techniques for measuring changes in arterial diameter, which is an hypothesized CSF pumping mechanism. Finally, we outline how these same techniques can be applied to cervical lymphatic vessels, which collect fluid downstream from meningeal lymphatic vessels. We anticipate that these fluid mechanical techniques will prove valuable for future quantitative studies aimed at understanding mechanisms of CSF transport and disruption, as well as for other complex biophysical systems.

摘要

在过去十年中,人们对了解脑脊液(CSF)流动的神经生理学兴趣大增,脑脊液流动在清除大脑代谢废物方面起着关键作用。这种兴趣的日益增长很大程度上源于两项重大发现:类淋巴系统(大脑深部组织间隙液与脑周脑脊液之间溶质交换的途径)和脑膜淋巴管(脑周组织层中引流脑脊液的淋巴管)。这两个脑脊液系统协同工作,它们的破坏与包括阿尔茨海默病、中风和创伤性脑损伤在内的多种神经系统疾病有关。在此,我们介绍通过对注入脑脊液的荧光微球进行直接成像来量化脑脊液流动的实验技术。我们讨论详细的图像处理方法,包括对停滞颗粒的配准和掩蔽,以提高测量质量。我们提供通过粒子跟踪量化脑脊液流动的指导,并提供优化该过程的提示。此外,我们描述测量动脉直径变化的技术,这是一种假设的脑脊液泵送机制。最后,我们概述了如何将这些相同的技术应用于颈淋巴管,颈淋巴管收集脑膜淋巴管下游的液体。我们预计,这些流体力学技术将被证明对未来旨在了解脑脊液运输和破坏机制的定量研究以及其他复杂生物物理系统具有重要价值。

相似文献

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The glymphatic pathway in neurological disorders.神经疾病中的糖酵解途径。
Lancet Neurol. 2018 Nov;17(11):1016-1024. doi: 10.1016/S1474-4422(18)30318-1.

本文引用的文献

1
Cerebrospinal Fluid Flow.脑脊液流动
Annu Rev Fluid Mech. 2023;55:237-264. doi: 10.1146/annurev-fluid-120720-011638. Epub 2022 Sep 28.
5
Glymphatic influx and clearance are accelerated by neurovascular coupling.糖酵解流入和清除通过神经血管耦联加速。
Nat Neurosci. 2023 Jun;26(6):1042-1053. doi: 10.1038/s41593-023-01327-2. Epub 2023 Jun 1.

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