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平滑肌细胞起搏动力学的空间扩展模型中的模式形成。

Pattern Formation in a Spatially Extended Model of Pacemaker Dynamics in Smooth Muscle Cells.

机构信息

School of Mathematical and Computational Sciences, Massey University, Palmerston North, New Zealand.

出版信息

Bull Math Biol. 2022 Jul 8;84(8):86. doi: 10.1007/s11538-022-01043-1.

Abstract

Spatiotemporal patterns are common in biological systems. For electrically coupled cells, previous studies of pattern formation have mainly used applied current as the primary bifurcation parameter. The purpose of this paper is to show that applied current is not needed to generate spatiotemporal patterns for smooth muscle cells. The patterns can be generated solely by external mechanical stimulation (transmural pressure). To do this we study a reaction-diffusion system involving the Morris-Lecar equations and observe a wide range of spatiotemporal patterns for different values of the model parameters. Some aspects of these patterns are explained via a bifurcation analysis of the system without coupling - in particular Type I and Type II excitability both occur. We show the patterns are not due to a Turing instability and that the spatially extended model exhibits spatiotemporal chaos. We also use travelling wave coordinates to analyse travelling waves.

摘要

时空模式在生物系统中很常见。对于电耦合细胞,先前关于模式形成的研究主要使用施加电流作为主要分岔参数。本文的目的是表明不需要施加电流来产生平滑肌细胞的时空模式。可以仅通过外部机械刺激(跨壁压)来产生模式。为此,我们研究了一个涉及 Morris-Lecar 方程的反应扩散系统,并观察到不同模型参数下的广泛时空模式。通过对无耦合系统的分岔分析来解释这些模式的某些方面 - 特别是发生了 I 型和 II 型兴奋性。我们表明这些模式不是由于图灵不稳定性引起的,并且空间扩展模型表现出时空混沌。我们还使用行波坐标来分析行波。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1b/9270316/00bd9e734294/11538_2022_1043_Fig1_HTML.jpg

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