2018
DOI: 10.1371/journal.pcbi.1006594
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Mechanistic insight into spontaneous transition from cellular alternans to arrhythmia—A simulation study

Abstract: Cardiac electrical alternans (CEA), manifested as T-wave alternans in ECG, is a clinical biomarker for predicting cardiac arrhythmias and sudden death. However, the mechanism underlying the spontaneous transition from CEA to arrhythmias remains incompletely elucidated. In this study, multiscale rabbit ventricular models were used to study the transition and a potential role of INa in perpetuating such a transition. It was shown CEA evolved into either concordant or discordant action potential (AP) conduction a… Show more

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Cited by 12 publications
(24 citation statements)
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“…In the control simulation, the diffusion coefficient D was set to 0.167 mm 2 /ms to achieve a conduction velocity (CV) of approximately 0.60 m/s along the cable, which was in line with the CV previously used for tissue simulations [ 50 52 ]. The CV was calculated using the method in [ 53 ]. It has previously been reported that fibrosis may reduce the cell-to-cell coupling [ 39 ].…”
Section: Methodsmentioning
confidence: 99%
“…In the control simulation, the diffusion coefficient D was set to 0.167 mm 2 /ms to achieve a conduction velocity (CV) of approximately 0.60 m/s along the cable, which was in line with the CV previously used for tissue simulations [ 50 52 ]. The CV was calculated using the method in [ 53 ]. It has previously been reported that fibrosis may reduce the cell-to-cell coupling [ 39 ].…”
Section: Methodsmentioning
confidence: 99%
“…The APD90 rate dependent curve and restitutions curve were calculated using the dynamic pacing protocol and the standard S1-S2 protocol respectively [12] to analyze the genesis of AP alternans under control and IKur block conditions. Firstly, the cell model was paced at 1000 ms for 100 beats to reach relatively steady state as initial values for next simulation under control and various IKur block conditions.…”
Section: Methodsmentioning
confidence: 99%
“…For example, ejection fraction can be calculated based on the computed volume of the heart, which is an important indicator for diagnosing heart failure [2]. In addition, segmentation results can be utilized for reconstructing the 3D whole-heart model, which would be an excellent platform for investigating cardiac arrhythmia [3] and congenital cardiac diseases [4].…”
Section: Introductionmentioning
confidence: 99%