Search

The electrophysiology of cardiomyocytes is traditionally described with ordinary differential equations, the parameters of which are fitted to experimental data using the least-squares method, however, some physiological processes cannot be described by one model and require a statistical analysis of a population of models. This population and Bayes’ theorem can provide a probability density function for the model parameter values under certain experimental observations. However, the results of Bayesian approaches are fully determined by the model of the studied process. In this preliminary study, we analyze the sensitivity of Majumder2016 model, which describes the neonatal rat atrial cardiomyocyte, to variation of its parameters. In addition, we test several functions translating distance between action potential shapes into probability, that may be useful for Bayes’ approaches that fitting of model parameters to experimental observations. [ABSTRACT FROM AUTHOR]

The electrophysiological properties of cardiomyocytes change with age, affecting their arrhythmogenic activity and sensitivity to drugs. The literature on canine atriums has described changes in transmembrane currents and action potential that occur during aging. In this study, we attempt to reproduce these changes using three mathematical models of human atrial cardiomyocytes and one model of canine atrial cardiomyocytes. All models correctly reproduced the decrease in the action potential region between the spike and plateau. However, none of the models could reproduce the lengthening of the action potential at the 90% level observed in experiments with canines. This may be explained by age-related changes in transmembrane currents that have not been measured in experiments, or all observed models were built on experimental data from senior age peoples. [ABSTRACT FROM AUTHOR]