ArticlePloS one2013
Effects of mechano-electric feedback on scroll wave stability in human ventricular fibrillation.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 51 citations in OpenAlex.
- Commotio Cordis in Sudden Cardiac Death in the Young: A State-of-the-Art Review.Reviews in cardiovascular medicine · 2025Review
- High-content method for mechanosignaling studies using IsoStretcher technology and quantitative CaCellular and molecular life sciences : CMLS · 2024Article
- Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing.Frontiers in network physiology · 2024Article
- Stretch of the papillary insertion triggers reentrant arrhythmia: anFrontiers in physiology · 2024Article
- A Simulation Study of the Role of Mechanical Stretch in Arrhythmogenesis during Cardiac Alternans.Biophysical journal · 2021Article
- A survey of pathways for mechano-electric coupling in the atria.Progress in biophysics and molecular biology · 2021Article
- In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy.Scientific reports · 2020Article
- Computational prediction of the effect of D172N KCNJ2 mutation on ventricular pumping during sinus rhythm and reentry.Medical & biological engineering & computing · 2020Article
- Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models.Medical image analysis · 2020Article
- Mechano-electric and mechano-chemo-transduction in cardiomyocytes.The Journal of physiology · 2020Review
- Exploring cardiac form and function: A length-scale computational biology approach.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Relationship Between Electrical Instability and Pumping Performance During Ventricular Tachyarrhythmia: Computational Study.Frontiers in physiology · 2020Article
- Prediction of Cardiac Mechanical Performance From Electrical Features During Ventricular Tachyarrhythmia Simulation Using Machine Learning Algorithms.Frontiers in physiology · 2020Article
- 4D cardiac electromechanical activation imaging.Computers in biology and medicine · 2019Article
- Quantitative systems models illuminate arrhythmia mechanisms in heart failure: Role of the NaWiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Computational Prediction of the Combined Effect of CRT and LVAD on Cardiac Electromechanical Delay in LBBB and RBBB.Computational and mathematical methods in medicine · 2018Article
- Mechano-electric feedback effects in a three-dimensional (3D) model of the contracting cardiac ventricle.PloS one · 2018Article
- Organ-level validation of a cross-bridge cycling descriptor in a left ventricular finite element model: effects of ventricular loading on myocardial strains.Physiological reports · 2017Article
- Evaluating functional capacity, and mortality effects in the presence of atrial electromechanical conduction delay in patients with systolic heart failure.Anatolian journal of cardiology · 2016Article
- Stretch-Activated Current Can Promote or Suppress Cardiac Alternans Depending on Voltage-Calcium Interaction.Biophysical journal · 2016Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Recruitment of stretch-activated channels, one of the mechanisms of mechano-electric feedback, has been shown to influence the stability of scroll waves, the waves that underlie reentrant arrhythmias. However, a comprehensive study to examine the effects of recruitment of stretch-activated channels with different reversal potentials and conductances on scroll wave stability has not been undertaken; the mechanisms by which stretch-activated channel opening alters scroll wave stability are also not well understood. The goals of this study were to test the hypothesis that recruitment of stretch-activated channels affects scroll wave stability differently depending on stretch-activated channel reversal potential and channel conductance, and to uncover the relevant mechanisms underlying the observed behaviors. We developed a strongly-coupled model of human ventricular electromechanics that incorporated human ventricular geometry and fiber and sheet orientation reconstructed from MR and diffusion tensor MR images. Since a wide variety of reversal potentials and channel conductances have been reported for stretch-activated channels, two reversal potentials, -60 mV and -10 mV, and a range of channel conductances (0 to 0.07 mS/µF) were implemented. Opening of stretch-activated channels with a reversal potential of -60 mV diminished scroll wave breakup for all values of conductances by flattening heterogeneously the action potential duration restitution curve. Opening of stretch-activated channels with a reversal potential of -10 mV inhibited partially scroll wave breakup at low conductance values (from 0.02 to 0.04 mS/µF) by flattening heterogeneously the conduction velocity restitution relation. For large conductance values (>0.05 mS/µF), recruitment of stretch-activated channels with a reversal potential of -10 mV did not reduce the likelihood of scroll wave breakup because Na channel inactivation in regions of large stretch led to conduction block, which counteracted the increased scroll wave stability due to an overall flatter conduction velocity restitution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.