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心脏细胞生物学和数学模型中兴奋的不规则动力学。

Irregular dynamics of excitation in biologic and mathematical models of cardiac cells.

作者信息

Vinet A, Chialvo D R, Jalife J

机构信息

Department of Pharmacology, State University of New York Health Science Center, Syracuse 13210.

出版信息

Ann N Y Acad Sci. 1990;601:281-98. doi: 10.1111/j.1749-6632.1990.tb37307.x.

Abstract

Excitation and impulse propagation in cardiac tissues are dependent on the heart rate and can occur in extremely complex patterns. In this chapter we present the results of Purkinje fiber experiments and of computer simulations using an ionic (Beeler & Reuter) model for the ventricular cell. We have studied the global rate-dependent behavior of cardiac cells through a systematic analysis of their response to single as well as repetitive depolarizing stimuli, and determined the role of nonlinearity in the mechanism(s) of their behaviors. To this end, we devised an analytical difference equation model of cardiac cell excitation which could be used to predict simple as well as chaotic behavior of both the Purkinje fiber and the Beeler & Reuter cell, depending on the stimulation rate. Both experimental and modeling results suggest that the presence of supernormal recovery in cell excitability establishes sufficient nonlinearity so that, during repetitive stimulation, the dynamics of cell response may be regular and predictable when the stimulus magnitude is either very small or very large, or they may be chaotic and very unpredictable when the stimulus magnitude is intermediate. The overall results suggest that the application of nonlinear systems theory to electrophysiology may have importance in the understanding of cardiac rhythm and conduction disturbances, and may have clinical implications as well.

摘要

心脏组织中的兴奋和冲动传播取决于心率,并且可以以极其复杂的模式发生。在本章中,我们展示了浦肯野纤维实验以及使用心室细胞离子(比勒尔和罗伊特)模型进行计算机模拟的结果。我们通过系统分析心脏细胞对单个以及重复性去极化刺激的反应,研究了心脏细胞的整体速率依赖性行为,并确定了非线性在其行为机制中的作用。为此,我们设计了一个心脏细胞兴奋的解析差分方程模型,该模型可用于预测浦肯野纤维和比勒尔 - 罗伊特细胞的简单行为以及混沌行为,具体取决于刺激速率。实验和建模结果均表明,细胞兴奋性中超正常恢复的存在建立了足够的非线性,以至于在重复性刺激期间,当刺激幅度非常小或非常大时,细胞反应的动力学可能是规则且可预测的,而当刺激幅度处于中间值时,它们可能是混沌且非常不可预测的。总体结果表明,将非线性系统理论应用于电生理学可能在理解心律失常和传导障碍方面具有重要意义,并且可能也具有临床意义。

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