Pattern Formation in a Spatially Extended Model of Pacemaker Dynamics in Smooth Muscle Cells.
Loading...
Date
2022-07-08
Open Access Location
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Nature Switzerland AG on behalf of the Society for Mathematical Biology
Rights
(c) The Author/s
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.
Description
Keywords
Bifurcation analysis, Morris–Lecar, Non-Turing patterns, Pacemaker dynamics, Pattern formation, Smooth muscle cells, Spatiotemporal chaos, Travelling waves, Diffusion, Mathematical Concepts, Models, Biological, Myocytes, Smooth Muscle, Pacemaker, Artificial
Citation
Bull Math Biol, 2022, 84 (8), pp. 86 - ?