ArticleFrontiers in bioengineering and biotechnology2017
Atrial Fibrillation Dynamics and Ionic Block Effects in Six Heterogeneous Human 3D Virtual Atria with Distinct Repolarization Dynamics.
Article in Frontiers in bioengineering and biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 36 citations in OpenAlex.
- Predicting Sex-Specific Antiarrhythmic Strategies for Atrial Fibrillation through a Regression-Guided Computational Modeling Pipeline.bioRxiv : the preprint server for biology · 2026Article
- Influence of Anatomical Definition and Substrate Condition on Simulations of Atrial Arrhythmias.Annals of biomedical engineering · 2026Article
- The mechanism of electrical remodeling in atrial fibrillation and current research status of natural drugs and active ingredients inhibiting atrial electrical remodeling.Frontiers in cardiovascular medicine · 2026Review
- Digital Twin Models in Atrial Fibrillation: Charting the Future of Precision Therapy?Journal of personalized medicine · 2025Review
- Rational design, synthesis, and evaluation of novel polypharmacological compounds targeting NaThe Journal of biological chemistry · 2025Article
- Cell-to-cell heterogeneity in ion channel conductance impacts substrate vulnerability to arrhythmia.American journal of physiology. Heart and circulatory physiology · 2024Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- What determines the optimal pharmacological treatment of atrial fibrillation? Insights from in silico trials in 800 virtual atria.The Journal of physiology · 2023Article
- Pro-arrhythmic role of adrenergic spatial densities in the human atria: An in-silico study.PloS one · 2023Article
- Cellular heterogeneity and repolarisation across the atria: an in silico study.Medical & biological engineering & computing · 2022Article
- Graph-based homogenisation for modelling cardiac fibrosis.Journal of computational physics · 2022Article
- Article
- How synergy between mechanistic and statistical models is impacting research in atrial fibrillation.Frontiers in physiology · 2022Review
- The 'Digital Twin' to enable the vision of precision cardiology.European heart journal · 2020Article
- Computational modeling: What does it tell us about atrial fibrillation therapy?International journal of cardiology · 2019Review
- Understanding AF Mechanisms Through Computational Modelling and Simulations.Arrhythmia & electrophysiology review · 2019Review
- Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies.Frontiers in physiology · 2019Article
- Description of the Human Atrial Action Potential Derived From a Single, Congruent Data Source: Novel Computational Models for Integrated Experimental-Numerical Study of Atrial Arrhythmia Mechanisms.Frontiers in physiology · 2018Article
- Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges.Frontiers in physiology · 2018Review
- Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications.Frontiers in physiology · 2018Review
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4 authors at 3 institutions in 2 countries.
Funding
Abstract
Atrial fibrillation (AF) usually manifests as reentrant circuits propagating through the whole atria creating chaotic activation patterns. Little is yet known about how differences in electrophysiological and ionic properties between patients modulate reentrant patterns in AF. The goal of this study is to quantify how variability in action potential duration (APD) at different stages of repolarization determines AF dynamics and their modulation by ionic block using a set of virtual whole-atria human models. Six human whole-atria models are constructed based on the same anatomical structure and fiber orientation, but with different electrophysiological phenotypes. Membrane kinetics for each whole-atria model are selected with distinct APD characteristics at 20, 50, and 90% repolarization, from an experimentally calibrated population of human atrial action potential models, including AF remodeling and acetylcholine parasympathetic effects. Our simulations show that in all whole-atria models, reentrant circuits tend to organize around the pulmonary veins and the right atrial appendage, thus leading to higher dominant frequency (DF) and more organized activation in the left atrium than in the right atrium. Differences in APD in all phases of repolarization (not only APD
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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.