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Computational modelling of fluid and solute transport in the brain.
- Source :
-
Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2020 Jun; Vol. 19 (3), pp. 781-800. Date of Electronic Publication: 2019 Nov 13. - Publication Year :
- 2020
-
Abstract
- 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.
- Subjects :
- Animals
Astrocytes physiology
Basement Membrane physiology
Biological Transport
Brain anatomy & histology
Brain blood supply
Central Nervous System physiology
Computer Simulation
Diffusion
Extracellular Fluid
Homeostasis
Humans
Hydrodynamics
Models, Biological
Motion
Brain physiology
Glymphatic System physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1617-7940
- Volume :
- 19
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Biomechanics and modeling in mechanobiology
- Publication Type :
- Academic Journal
- Accession number :
- 31720888
- Full Text :
- https://doi.org/10.1007/s10237-019-01253-y