Literature DB >> 28383023

Demystifying rotors and their place in clinical translation of atrial fibrillation mechanisms.

Stanley Nattel1,2,3, Feng Xiong1, Martin Aguilar1.   

Abstract

Treatment of atrial fibrillation (AF), the most common arrhythmia in clinical practice, remains challenging. Improved understanding of underlying mechanisms is needed to improve therapy. Functional re-entry is central to AF maintenance. The first detailed, quantitative theory of functional re-entry, the 'leading circle' model, was developed 40 years ago. Subsequently, an alternative paradigm based on 'spiral waves' has evolved. Spiral-wave generators, or 'rotors', have been identified using advanced mapping methods in experimental and clinical AF. A central tool in the analysis of spiral-wave rotors is the phase transformation, allowing for easier visualization of rotors and tracking of 'phase singularity' points at the rotor tip. In contrast to leading circle theory, which is expressed in terms familiar to (and easily understood by) cardiologists, the ideas needed to understand rotors are much more theoretical and harder for clinicians to apply. In this Review, we summarize the basic notions of phase mapping and spiral-wave rotors, and the ways in which rotor sources might be involved in AF maintenance. We discuss competing observations about the role of spatially confined rotors, short-lived rotors clustered at the edge of fibrotic zones, endocardial-epicardial interactive breeder properties and transmural re-entry, as well as studies underway to resolve them. We conclude with consideration of the clinical relevance of the issues discussed and their potential implications for the management of patients with AF.

Entities:  

Mesh:

Year:  2017        PMID: 28383023     DOI: 10.1038/nrcardio.2017.37

Source DB:  PubMed          Journal:  Nat Rev Cardiol        ISSN: 1759-5002            Impact factor:   32.419


  33 in total

1.  Interaction of Localized Drivers and Disorganized Activation in Persistent Atrial Fibrillation: Reconciling Putative Mechanisms Using Multiple Mapping Techniques.

Authors:  Christopher A B Kowalewski; Fatemah Shenasa; Miguel Rodrigo; Paul Clopton; Gabriela Meckler; Mahmood I Alhusseini; Mark A Swerdlow; Vijay Joshi; Samir Hossainy; Junaid A B Zaman; Tina Baykaner; Albert J Rogers; Johannes Brachmann; John M Miller; David E Krummen; William H Sauer; Nicholas S Peters; Paul J Wang; Sanjiv M Narayan
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-06

2.  High-resolution noncontact charge-density mapping of endocardial activation.

Authors:  Andrew Grace; Stephan Willems; Christian Meyer; Atul Verma; Patrick Heck; Min Zhu; Xinwei Shi; Derrick Chou; Lam Dang; Christoph Scharf; Günter Scharf; Graydon Beatty
Journal:  JCI Insight       Date:  2019-03-21

Review 3.  Mapping and Ablation of Rotational and Focal Drivers in Atrial Fibrillation.

Authors:  Junaid Zaman; Tina Baykaner; Sanjiv M Narayan
Journal:  Card Electrophysiol Clin       Date:  2019-12

4.  Altered calcium handling produces reentry-promoting action potential alternans in atrial fibrillation-remodeled hearts.

Authors:  Tao Liu; Feng Xiong; Xiao-Yan Qi; Jiening Xiao; Louis Villeneuve; Issam Abu-Taha; Dobromir Dobrev; Congxin Huang; Stanley Nattel
Journal:  JCI Insight       Date:  2020-04-07

Review 5.  Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.

Authors:  Edward J Ciaccio; Elaine Y Wan; Deepak S Saluja; U Rajendra Acharya; Nicholas S Peters; Hasan Garan
Journal:  Comput Methods Programs Biomed       Date:  2019-06-15       Impact factor: 5.428

6.  Identifying Potential Re-Entrant Circuit Locations From Atrial Fibre Maps.

Authors:  Max Falkenberg; David Hickey; Louie Terrill; Alberto Ciacci; Nicholas S Peters; Kim Christensen
Journal:  Comput Cardiol (2010)       Date:  2019-11-08

7.  Novel approaches for quantitative electrogram analysis for intraprocedural guidance for catheter ablation: A case of a patient with persistent atrial fibrillation.

Authors:  S P Arunachalam; S Kapa; S K Mulpuru; P A Friedman; E G Tolkacheva
Journal:  Nucl Med Biomed Imaging       Date:  2017-06-16

8.  Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation.

Authors:  Max Falkenberg McGillivray; William Cheng; Nicholas S Peters; Kim Christensen
Journal:  R Soc Open Sci       Date:  2018-04-18       Impact factor: 2.963

9.  Commentary: Atrial Fibrillation Dynamics and Ionic Block Effects in Six Heterogeneous Human 3D Virtual Atria with Distinct Repolarization Dynamics.

Authors:  Chiara Campana; Fadi G Akar
Journal:  Front Bioeng Biotechnol       Date:  2017-10-06

10.  Optimising Large Animal Models of Sustained Atrial Fibrillation: Relevance of the Critical Mass Hypothesis.

Authors:  Nathan C Denham; Charles M Pearman; George W P Madders; Charlotte E R Smith; Andrew W Trafford; Katharine M Dibb
Journal:  Front Physiol       Date:  2021-06-15       Impact factor: 4.566

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