ArticleFrontiers in physiology2019
Directed Networks as a Novel Way to Describe and Analyze Cardiac Excitation: Directed Graph Mapping.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- DGM-TOP: automatic identification of the critical boundaries in atrial tachycardia.Frontiers in physiology · 2025Article
- Directed Graph Mapping exceeds Phase Mapping for the detection of simulated 2D meandering rotors in fibrotic tissue with added noise.Computers in biology and medicine · 2024Article
- Information theory-based direct causality measure to assess cardiac fibrillation dynamics.Journal of the Royal Society, Interface · 2023Article
- Directed graph mapping shows rotors maintain non-terminating and focal sources maintain self-terminating Torsade de Pointes in canine model.Frontiers in physiology · 2023Article
- AF driver detection in pulmonary vein area by electropcardiographic imaging: Relation with a favorable outcome of pulmonary vein isolation.Frontiers in physiology · 2023Article
- Guidelines for assessment of cardiac electrophysiology and arrhythmias in small animals.American journal of physiology. Heart and circulatory physiology · 2022Review
- Atrial fibrillation driver identification through regional mutual information networks: a modeling perspective.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2022Article
- Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate.Medical & biological engineering & computing · 2022Review
- A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022Review
- Convolutional Neural Networks for Mechanistic Driver Detection in Atrial Fibrillation.International journal of molecular sciences · 2022Article
- Multiparametric analysis of geometric features of fibrotic textures leading to cardiac arrhythmias.Scientific reports · 2021Article
- Current progress of computational modeling for guiding clinical atrial fibrillation ablation.Journal of Zhejiang University. Science. B · 2021Review
- Directed graph mapping exceeds phase mapping in discriminating true and false rotors detected with a basket catheter in a complex in-silico excitation pattern.Computers in biology and medicine · 2021Article
- Rotor Localization and Phase Mapping of Cardiac Excitation Waves Using Deep Neural Networks.Frontiers in physiology · 2021Article
- Atrial Flutter Mechanism Detection Using Directed Network Mapping.Frontiers in physiology · 2021Article
- Time-Averaged Wavefront Analysis Demonstrates Preferential Pathways of Atrial Fibrillation, Predicting Pulmonary Vein Isolation Acute Response.Frontiers in physiology · 2021Article
- How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patients.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Directed Networks as a Novel Way to Describe and Analyze Cardiac Excitation: Directed Graph Mapping.Frontiers in physiology · 2019Article
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10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Networks provide a powerful methodology with applications in a variety of biological, technological and social systems such as analysis of brain data, social networks, internet search engine algorithms, etc. To date, directed networks have not yet been applied to characterize the excitation of the human heart. In clinical practice, cardiac excitation is recorded by multiple discrete electrodes. During (normal) sinus rhythm or during cardiac arrhythmias, successive excitation connects neighboring electrodes, resulting in their own unique directed network. This in theory makes it a perfect fit for directed network analysis. In this study, we applied directed networks to the heart in order to describe and characterize cardiac arrhythmias. Proof-of-principle was established using
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