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A Tridomain Model for Potassium Clearance in Optic Nerve of Necturus.

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Date
2021-06-29
Authors
Zhu, Yi
Xu, Shixin
Eisenberg, Robert S
Huang, Huaxiong
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Abstract
Complex fluids flow in complex ways in complex structures. Transport of water and various organic and inorganic molecules in the central nervous system are important in a wide range of biological and medical processes [C. Nicholson, and S. Hrabetova, Biophysical Journal, 113(10), 2133(2017)]. However, the exact driving mechanisms are often not known. In this paper, we investigate flows induced by action potentials in an optic nerve as a prototype of the central nervous system (CNS). Different from traditional fluid dynamics problems, flows in biological tissues such as the CNS are coupled with ion transport. It is driven by osmosis created by concentration gradient of ionic solutions, which in term influence the transport of ions. Our mathematical model is based on the known structural and biophysical properties of the experimental system used by the Harvard group Orkand et al [R.K. Orkand, J.G. Nicholls, S.W. Kuffler, Journal of Neurophysiology, 29(4), 788(1966)]. Asymptotic analysis and numerical computation show the significant role of water in convective ion transport. The full model (including water) and the electrodiffusion model (excluding water) are compared in detail to reveal an interesting interplay between water and ion transport. In the full model, convection due to water flow dominates inside the glial domain. This water flow in the glia contributes significantly to the spatial buffering of potassium in the extracellular space. Convection in the extracellular domain does not contribute significantly to spatial buffering. Electrodiffusion is the dominant mechanism for flows confined to the extracellular domain.
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Journal article
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https://hdl.handle.net/10161/23458
Published Version (Please cite this version)
10.1016/j.bpj.2021.06.020
Publication Info
Zhu, Yi; Xu, Shixin; Eisenberg, Robert S; & Huang, Huaxiong (2021). A Tridomain Model for Potassium Clearance in Optic Nerve of Necturus. Biophysical journal. 10.1016/j.bpj.2021.06.020. Retrieved from https://hdl.handle.net/10161/23458.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Xu

Shixin Xu

Assistant Professor of Mathematics at Duke Kunshan University
Shixin Xu is an Assistant Professor of Mathematics.   His research interests are machine learning and data-driven model for diseases,  multiscale modeling of complex fluids, Neurovascular coupling, homogenization theory, and numerical analysis.  The current projects he is working on are image data-based for the prediction of hemorrhagic transformation in acute ischemic stroke, electrodynamics modeling of saltatory conduction along myelina
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