title: A meta-analysis of cardiac electrophysiology computational models.
abstract: Computational models of cardiac electrophysiology are exemplar demonstrations of the integration of multiple data sets into a consistent biophysical framework. These models encapsulate physiological understanding to provide quantitative predictions of function. The combination or extension of existing models within a common framework allows integrative phenomena in larger systems to be investigated. This methodology is now routinely applied, as demonstrated by the increasing number of studies which use or extend previously developed models. In this study, we present a meta-analysis of this model re-use for two leading models of cardiac electrophysiology in the form of parameter inheritance trees, a sensitivity analysis and a comparison of the functional significance of the sodium potassium pump for defining restitution curves. These results indicate that even though the models aim to represent the same physiological system, both the sources of parameter values and the function of equivalent components are significantly different.
authors.affiliation: University Computing Laboratory, University of Oxford, Oxford, UK.
authors.forename: S A
authors.initials: SA
authors.lastname: Niederer
authors.forename: M
authors.initials: M
authors.lastname: Fink
authors.forename: D
authors.initials: D
authors.lastname: Noble
authors.forename: N P
authors.initials: NP
authors.lastname: Smith
mesh_terms: D055724:Electrophysiological Phenomena; D006321:Heart / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D015233:Models, Statistical; D032383:Myocytes, Cardiac / Q000502:physiology; D000254:Sodium-Potassium-Exchanging ATPase / Q000502:physiology
chemical_list: D000254:Sodium-Potassium-Exchanging ATPase