Literature DB >> 12139290

Phase singularities and termination of spiral wave reentry.

James Eason1, Natalia Trayanova.   

Abstract

INTRODUCTION: Recent defibrillation studies show that electric fields interact with reentrant activity in myocardial tissue through virtual electrode polarization (VEP). This study focuses on determining how VEP relates to the creation and survival of postshock phase singularities in cardiac tissue and demonstrating that interactions between VEP and preshock tissue state engender the probabilistic nature of defibrillation. METHODS AND
RESULTS: We constructed a two-dimensional tissue model representing a ventricular cross-section with fiber architecture and surrounding bath. We initiated spiral wave reentry and subjected the tissue to a monophasic shock. We estimated the shock success probability for a given strength by testing 16 coupling intervals throughout a single rotation of the wavefront. Over a range of shock strengths, our model exhibits dose-response behavior similar to experimental defibrillation efficacy curves. At the 50% effective strength (ED50), successful termination of reentry depends upon the interaction between preshock excitable gap and postshock phase singularities. We also found that increasing the stimulus strength toward ED50 increases the number of postshock singularities, whereas further strength increases above ED50 decrease the number of singularities.
CONCLUSION: Our results show for the first time that a computational model can account for the probabilistic nature of defibrillation as VEP interacts with the dynamics of an ongoing reentrant wavefront. Further, we demonstrate that success of a shock depends on the annihilation of the phase singularities that arise after any strong stimulus. Our findings imply that VEP completely overrides the preshock tissue state in shocks that are highly likely to defibrillate (ED95).

Mesh:

Year:  2002        PMID: 12139290     DOI: 10.1046/j.1540-8167.2002.00672.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  9 in total

1.  Cardiac defibrillation and the role of mechanoelectric feedback in postshock arrhythmogenesis.

Authors:  Viatcheslav Gurev; Mary M Maleckar; Natalia A Trayanova
Journal:  Ann N Y Acad Sci       Date:  2006-10       Impact factor: 5.691

2.  Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern.

Authors:  Sohail Zahid; Hubert Cochet; Patrick M Boyle; Erica L Schwarz; Kaitlyn N Whyte; Edward J Vigmond; Rémi Dubois; Mélèze Hocini; Michel Haïssaguerre; Pierre Jaïs; Natalia A Trayanova
Journal:  Cardiovasc Res       Date:  2016-04-07       Impact factor: 10.787

3.  Mechanisms for initiation of reentry in acute regional ischemia phase 1B.

Authors:  Xiao Jie; Natalia A Trayanova
Journal:  Heart Rhythm       Date:  2009-11-13       Impact factor: 6.343

4.  Reentry in survived subepicardium coupled to depolarized and inexcitable midmyocardium: insights into arrhythmogenesis in ischemia phase 1B.

Authors:  Xiao Jie; Blanca Rodríguez; Joris R de Groot; Ruben Coronel; Natalia Trayanova
Journal:  Heart Rhythm       Date:  2008-03-25       Impact factor: 6.343

5.  Capture of activation during ventricular arrhythmia using distributed stimulation.

Authors:  Jason M Meunier; Sanjiv Ramalingam; Shien-Fong Lin; Abhijit R Patwardhan
Journal:  J Interv Card Electrophysiol       Date:  2007-05-23       Impact factor: 1.900

6.  Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Authors:  Julie K Shade; Rheeda L Ali; Dante Basile; Dan Popescu; Tauseef Akhtar; Joseph E Marine; David D Spragg; Hugh Calkins; Natalia A Trayanova
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-06-14

7.  The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping.

Authors:  Patrick M Boyle; Joe B Hakim; Sohail Zahid; William H Franceschi; Michael J Murphy; Adityo Prakosa; Konstantinos N Aronis; Tarek Zghaib; Muhammed Balouch; Esra G Ipek; Jonathan Chrispin; Ronald D Berger; Hiroshi Ashikaga; Joseph E Marine; Hugh Calkins; Saman Nazarian; David D Spragg; Natalia A Trayanova
Journal:  Front Physiol       Date:  2018-08-29       Impact factor: 4.566

8.  Computationally guided personalized targeted ablation of persistent atrial fibrillation.

Authors:  Patrick M Boyle; Tarek Zghaib; Sohail Zahid; Rheeda L Ali; Dongdong Deng; William H Franceschi; Joe B Hakim; Michael J Murphy; Adityo Prakosa; Stefan L Zimmerman; Hiroshi Ashikaga; Joseph E Marine; Aravindan Kolandaivelu; Saman Nazarian; David D Spragg; Hugh Calkins; Natalia A Trayanova
Journal:  Nat Biomed Eng       Date:  2019-08-19       Impact factor: 25.671

9.  Arrhythmogenesis in the heart: Multiscale modeling of the effects of defibrillation shocks and the role of electrophysiological heterogeneity.

Authors:  Hermenegild Arevalo; Blanca Rodriguez; Natalia Trayanova
Journal:  Chaos       Date:  2007-03       Impact factor: 3.642

  9 in total

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