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以皮层扩散性抑制为例验证离子电扩散的计算框架

Validating a Computational Framework for Ionic Electrodiffusion with Cortical Spreading Depression as a Case Study.

作者信息

Ellingsrud Ada J, Dukefoss Didrik B, Enger Rune, Halnes Geir, Pettersen Klas, Rognes Marie E

机构信息

Department for Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo 0164, Norway

Letten Centre, Division of Anatomy, Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo 0317, Norway.

出版信息

eNeuro. 2022 Apr 25;9(2). doi: 10.1523/ENEURO.0408-21.2022. Print 2022 Mar-Apr.

DOI:10.1523/ENEURO.0408-21.2022
PMID:35365505
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9045477/
Abstract

Cortical spreading depression (CSD) is a wave of pronounced depolarization of brain tissue accompanied by substantial shifts in ionic concentrations and cellular swelling. Here, we validate a computational framework for modeling electrical potentials, ionic movement, and cellular swelling in brain tissue during CSD. We consider different model variations representing wild-type (WT) or knock-out/knock-down mice and systematically compare the numerical results with reports from a selection of experimental studies. We find that the data for several CSD hallmarks obtained computationally, including wave propagation speed, direct current shift duration, peak in extracellular K concentration as well as a pronounced shrinkage of extracellular space (ECS) are well in line with what has previously been observed experimentally. Further, we assess how key model parameters including cellular diffusivity, structural ratios, membrane water and/or K permeabilities affect the set of CSD characteristics.

摘要

皮层扩散性抑制（CSD）是一种脑组织明显去极化的波，伴随着离子浓度的显著变化和细胞肿胀。在此，我们验证了一个用于模拟CSD期间脑组织中电势、离子运动和细胞肿胀的计算框架。我们考虑了代表野生型（WT）或基因敲除/敲低小鼠的不同模型变体，并系统地将数值结果与一系列实验研究的报告进行比较。我们发现，通过计算获得的几个CSD特征的数据，包括波传播速度、直流偏移持续时间、细胞外K浓度峰值以及细胞外空间（ECS）的明显收缩，与之前实验观察到的结果非常一致。此外，我们评估了包括细胞扩散率、结构比、膜水和/或K渗透率在内的关键模型参数如何影响CSD特征集。

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