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首页> 外文期刊>Journal of Theoretical Biology >Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue
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Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue

机译:随机现象学建模在心脏组织细胞间和心跳间电生理变异中的应用

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摘要

Variability in the action potential of isolated myocytes and tissue samples is observed in experimental studies. Variability is manifested as both differences in the action potential (AP) morphology between cells (extrinsic variability), and also 'intrinsic' or beat-to-beat variability of repolarization (BVR) in the AP duration of each cell. We studied the relative contributions of experimentally recorded intrinsic and extrinsic variability to dispersion of repolarization in tissue. We developed four cell-specific parameterizations of a phenomenological stochastic differential equation AP model exhibiting intrinsic variability using APs recorded from isolated guinea pig ventricular myocytes exhibiting BVR. We performed simulations in tissue using the four different model parameterizations in the presence and the absence of both intrinsic and extrinsic variability. We altered the coupling of the tissue to determine how intercellular coupling affected the dispersion of the AP duration in tissue. Both intrinsic and extrinsic variability were gradually revealed by reduction of tissue coupling. However, the recorded extrinsic variability between individual myocytes produced a greater degree of dispersion in repolarization in tissue than the intrinsic variability of each myocyte. (C) 2014 The Authors. Published by Elsevier Ltd.
机译:在实验研究中观察到分离的心肌细胞和组织样品的动作电位的变化。变异性既表现为细胞之间动作电位(AP)形态的差异(外部变异性),又表现为每个细胞AP持续时间的“内在”或心律失常性复极(BVR)。我们研究了实验记录的内在和外在变异性对组织中复极分散的相对贡献。我们使用从表现出BVR的豚鼠心室心肌细胞中记录的AP来开发表现出内在变异性的现象学随机微分方程AP模型的四个特定于细胞的参数化。在存在和不存在内在和外在变异性的情况下,我们使用四种不同的模型参数化对组织进行了仿真。我们改变了组织的耦合,以确定细胞间的耦合如何影响AP持续时间在组织中的分散。通过减少组织耦合,逐渐揭示出内在和外在的变异性。但是,记录的单个肌细胞之间的外在变异比每个肌细胞的内在变异在组织的复极中产生更大程度的分散。 (C)2014作者。由Elsevier Ltd.发布

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