2014
DOI: 10.1254/jphs.13r04cr
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Modern Perspectives on Numerical Modeling of Cardiac Pacemaker Cell

Abstract: Cardiac pacemaking is a complex phenomenon that is still not completely understood. Together with experimental studies, numerical modeling has been traditionally used to acquire mechanistic insights in this research area. This review summarizes the present state of numerical modeling of the cardiac pacemaker, including approaches to resolve present paradoxes and controversies. Specifically we discuss the requirement for realistic modeling to consider symmetrical importance of both intracellular and cell membra… Show more

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Cited by 35 publications
(27 citation statements)
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References 135 publications
(281 reference statements)
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“…S2A), compared to optimal clock coupling (fig. S2, B and C) (19,20). Another possibility is a reduction in cell and SR Ca 2+ loading due to the absence of action potentials and resulting Ca 2+ transients (4).…”
Section: Discussionmentioning
confidence: 99%
“…S2A), compared to optimal clock coupling (fig. S2, B and C) (19,20). Another possibility is a reduction in cell and SR Ca 2+ loading due to the absence of action potentials and resulting Ca 2+ transients (4).…”
Section: Discussionmentioning
confidence: 99%
“…Recognition of the limitations of the traditional common-pool model approach have led to novel pacemaker cell models featuring local Ca 2+ control mechanisms (for review see Maltsev et al, 2014 ). Thus, newer local control models are more accurate vs. old common pool models: the scale of amplitudes for Ca 2+ dynamics attained locally is higher by as much as two orders of magnitude vs. that predicted by the old models.…”
Section: Numerical Modeling: From One Clock To One Coupled Systemmentioning
confidence: 99%
“…Models have been particularly helpful in elucidating the ionic basis of SAN activity and cardiac pacemaking [16,17]. For example, SAN cell models have furthered our understanding of the relative importance of coupling between Ca 2+ cycling and membrane ion channels in automaticity [18] and the genetic basis of human SAN disease [19].…”
Section: Introductionmentioning
confidence: 99%