ReviewInternational journal of cardiology2019
Computational modeling: What does it tell us about atrial fibrillation therapy?
Review in International journal of cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- Structural determinants of re-entrant drivers in atrial fibrillation: insights from digital twins derived from 3D micrometre-resolution imaging of human heart.The Journal of physiology · 2026Article
- Precision cardiac electrophysiology: toward digital twins and beyond.Journal of precision medicine (Amsterdam, Netherlands) · 2025Article
- Computational Modeling of Cardiac Electrophysiology.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Integrative human atrial modelling unravels interactive protein kinase A and Ca2+/calmodulin-dependent protein kinase II signalling as key determinants of atrial arrhythmogenesis.Cardiovascular research · 2023Article
- Dual effects of the small-conductance CaAmerican journal of physiology. Heart and circulatory physiology · 2023Article
- Basic Research Approaches to Evaluate Cardiac Arrhythmia in Heart Failure and Beyond.Frontiers in physiology · 2022Review
- Review
- Computational models of atrial fibrillation: achievements, challenges, and perspectives for improving clinical care.Cardiovascular research · 2021Review
- Model Systems for Addressing Mechanism of Arrhythmogenesis in Cardiac Repair.Current cardiology reports · 2021Review
- Immediate and Delayed Response of Simulated Human Atrial Myocytes to Clinically-Relevant Hypokalemia.Frontiers in physiology · 2021Article
- Populations of in silico myocytes and tissues reveal synergy of multiatrial-predominant KBritish journal of pharmacology · 2020Article
- The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment.International journal of cardiology · 2019Review
- Article
- Bayesian network analyses in atrial fibrillation - A path to better therapies?International journal of cardiology. Heart & vasculature · 2019Article
- Differential Modulation ofFrontiers in physiology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively affects morbidity and mortality of millions of patients. Technological and experimental advances have provided a wealth of information on the pathogenesis of AF, highlighting a multitude of mechanisms involved in arrhythmia initiation and maintenance, and disease progression. However, it remains challenging to identify the predominant mechanisms for specific subgroups of AF patients, which, together with an incomplete understanding of the pleiotropic effects of antiarrhythmic therapies, likely contributes to the suboptimal efficacy of current antiarrhythmic approaches. Computer modeling of cardiac electrophysiology has advanced in parallel to experimental research and provides an integrative framework to attempt to overcome some of these challenges. Multi-scale cardiac modeling and simulation integrate structural and functional data from experimental and clinical work with knowledge of atrial electrophysiological mechanisms and dynamics, thereby improving our understanding of AF mechanisms and therapy. In this review, we describe recent advances in our quantitative understanding of AF through mathematical models. We discuss computational modeling of AF mechanisms and therapy using detailed, mechanistic cell/tissue-level models, including approaches to incorporate variability in patient populations. We also highlight efforts using whole-atria models to improve catheter ablation therapies. Finally, we describe recent efforts and suggest future extensions to model clinical concepts of AF using patient-level models.
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Registered trials
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