Literature DB >> 26475585

Phase synchrony reveals organization in human atrial fibrillation.

David Vidmar1, Sanjiv M Narayan2, Wouter-Jan Rappel3.   

Abstract

It remains unclear if human atrial fibrillation (AF) is spatially nonhierarchical or exhibits a hierarchy of organization sustained by sources. We utilize activation times obtained at discrete locations during AF to compute the phase synchrony between tissue regions, to examine underlying spatial dynamics throughout both atria. We construct a binary synchronization network and show that this network can accurately define regions of coherence in coarse-grained in silico data. Specifically, domains controlled by spiral waves exhibit regions of high phase synchrony. We then apply this analysis to clinical data from patients experiencing cardiac arrhythmias using multielectrode catheters to simultaneously record from a majority of both atria. We show that pharmaceutical intervention with ibutilide organizes activation by increasing the size of the synchronized domain in AF and quantify the increase in temporal organization when arrhythmia changes from fibrillation to tachycardia. Finally, in recordings from 24 patients in AF we show that the level of synchrony is spatially broad with some patients showing large spatially contiguous regions of synchronization, while in others synchrony is localized to small pockets. Using computer simulations, we show that this distribution is inconsistent with distributions obtained from simulations that mimic multiwavelet reentry but is consistent with mechanisms in which one or more spatially conserved spiral waves is surrounded by tissue in which activation is disorganized.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  atrial fibrillation; computer simulation; multiwavelet reentry; phase synchrony; rotor

Mesh:

Substances:

Year:  2015        PMID: 26475585      PMCID: PMC4698428          DOI: 10.1152/ajpheart.00407.2015

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  31 in total

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Authors: 
Journal:  Phys Rev Lett       Date:  1993-08-16       Impact factor: 9.161

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Authors:  Sumeet S Chugh; Gregory A Roth; Richard F Gillum; George A Mensah
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Journal:  Circ Arrhythm Electrophysiol       Date:  2013-08-27

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Authors:  Jérôme Kalifa; Kazuhiko Tanaka; Alexey V Zaitsev; Mark Warren; Ravi Vaidyanathan; David Auerbach; Sandeep Pandit; Karen L Vikstrom; Robert Ploutz-Snyder; Arkadzi Talkachou; Felipe Atienza; Gérard Guiraudon; José Jalife; Omer Berenfeld
Journal:  Circulation       Date:  2006-02-07       Impact factor: 29.690

6.  Bipolar electrogram shannon entropy at sites of rotational activation: implications for ablation of atrial fibrillation.

Authors:  Anand N Ganesan; Pawel Kuklik; Dennis H Lau; Anthony G Brooks; Mathias Baumert; Wei Wen Lim; Shivshankar Thanigaimani; Sachin Nayyar; Rajiv Mahajan; Jonathan M Kalman; Kurt C Roberts-Thomson; Prashanthan Sanders
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7.  Initial independent outcomes from focal impulse and rotor modulation ablation for atrial fibrillation: multicenter FIRM registry.

Authors:  John M Miller; Robert C Kowal; Vijay Swarup; James P Daubert; Emile G Daoud; John D Day; Kenneth A Ellenbogen; John D Hummel; Tina Baykaner; David E Krummen; Sanjiv M Narayan; Vivek Y Reddy; Kalyanam Shivkumar; Jonathan S Steinberg; Kevin R Wheelan
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8.  Acute termination of human atrial fibrillation by identification and catheter ablation of localized rotors and sources: first multicenter experience of focal impulse and rotor modulation (FIRM) ablation.

Authors:  Kalyanam Shivkumar; Kenneth A Ellenbogen; John D Hummel; John M Miller; Jonathan S Steinberg
Journal:  J Cardiovasc Electrophysiol       Date:  2012-11-06

Review 9.  Mother rotors and fibrillatory conduction: a mechanism of atrial fibrillation.

Authors:  José Jalife; Omer Berenfeld; Moussa Mansour
Journal:  Cardiovasc Res       Date:  2002-05       Impact factor: 10.787

10.  Computational mapping identifies localized mechanisms for ablation of atrial fibrillation.

Authors:  Sanjiv M Narayan; David E Krummen; Michael W Enyeart; Wouter-Jan Rappel
Journal:  PLoS One       Date:  2012-09-26       Impact factor: 3.240

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  8 in total

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2.  Spatiotemporal Progression of Early Human Ventricular Fibrillation.

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3.  Stochastic termination of spiral wave dynamics in cardiac tissue.

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Review 4.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

5.  Determining conduction patterns on a sparse electrode grid: Implications for the analysis of clinical arrhythmias.

Authors:  David Vidmar; Sanjiv M Narayan; David E Krummen; Wouter-Jan Rappel
Journal:  Phys Rev E       Date:  2016-11-09       Impact factor: 2.529

Review 6.  Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges.

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Journal:  Front Physiol       Date:  2018-09-04       Impact factor: 4.566

Review 7.  Identifying Atrial Fibrillation Mechanisms for Personalized Medicine.

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Journal:  J Clin Med       Date:  2021-12-01       Impact factor: 4.241

8.  Unmasking Arrhythmogenic Hubs of Reentry Driving Persistent Atrial Fibrillation for Patient-Specific Treatment.

Authors:  Brian J Hansen; Jichao Zhao; Katelynn M Helfrich; Ning Li; Alexander Iancau; Alexander M Zolotarev; Stanislav O Zakharkin; Anuradha Kalyanasundaram; Megan Subr; Nawshin Dastagir; Roshan Sharma; Esthela J Artiga; Nicholas Salgia; Mustafa M Houmsse; Omar Kahaly; Paul M L Janssen; Peter J Mohler; Nahush A Mokadam; Bryan A Whitson; Muhammad R Afzal; Orlando P Simonetti; John D Hummel; Vadim V Fedorov
Journal:  J Am Heart Assoc       Date:  2020-10-02       Impact factor: 5.501

  8 in total

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