Literature DB >> 12193467

Life span of ventricular fibrillation frequencies.

Bum-Rak Choi1, Wonchul Nho, Tong Liu, Guy Salama.   

Abstract

The nature and organization of electrical activity during ventricular fibrillation (VF) are important and controversial subjects dominated by 2 competing theories: the wavebreak and the dominant mother rotor hypothesis. To investigate spatiotemporal characteristics of ventricular fibrillation (VF), transmembrane potentials (V(m)) were recorded from multiple sites of perfused rabbit hearts using a voltage-sensitive dye and a photodiode array or a CCD camera, and the time-frequency characteristics of V(m) were analyzed by short-time fast Fourier transform (FFT) or generalized time-frequency representation with a cone-shaped kernel. The analysis was applied to all pixels to track VF frequencies in time and space. VF consisted of blobs, which are groups of contiguous pixels with a common frequency and an ill-defined shape. At any time t, several VF frequency blobs coexisted in the field of view, and the number of coexisting blobs was on average 5.9+/-2.1 (n=8 hearts) as they appeared and disappeared discontinuously with time and were not fixed in space. The life span of frequency blobs from birth to either annihilation or breakup to another frequency had a half-life of 0.39+/-0.13 second (n=4 hearts). The Ca2+ channel blocker nifedipine increased the stability of VF frequencies and reduced the number of frequency blobs progressing to a single frequency. In conclusion, VF consists of dynamically changing frequency blobs, which have a short life span and can be modified by pharmacological interventions, suggesting that VF is maintained by dynamically changing multiple wavelets.

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Year:  2002        PMID: 12193467     DOI: 10.1161/01.res.0000031801.84308.f4

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  21 in total

1.  Temporal and spectral analysis of ventricular fibrillation in humans.

Authors:  Gabriel Decebal Latcu; Olivier Meste; Alexandre Duparc; Pierre Mondoly; Anne Rollin; Marc Delay; Philippe Maury
Journal:  J Interv Card Electrophysiol       Date:  2011-01-27       Impact factor: 1.900

2.  Lifetimes of epicardial rotors in panoramic optical maps of fibrillating swine ventricles.

Authors:  Matthew W Kay; Gregory P Walcott; James D Gladden; Sharon B Melnick; Jack M Rogers
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-04-21       Impact factor: 4.733

3.  Dispersion of repolarization and refractoriness are determinants of arrhythmia phenotype in transgenic mice with long QT.

Authors:  Barry London; Linda C Baker; Polina Petkova-Kirova; Jeanne M Nerbonne; Bum-Rak Choi; Guy Salama
Journal:  J Physiol       Date:  2006-11-16       Impact factor: 5.182

4.  Spatially discordant voltage alternans cause wavebreaks in ventricular fibrillation.

Authors:  Bum-Rak Choi; Woncheol Jang; Guy Salama
Journal:  Heart Rhythm       Date:  2007-06-12       Impact factor: 6.343

5.  Nonlinear and Stochastic Dynamics in the Heart.

Authors:  Zhilin Qu; Gang Hu; Alan Garfinkel; James N Weiss
Journal:  Phys Rep       Date:  2014-10-10       Impact factor: 25.600

Review 6.  Toward microendoscopy-inspired cardiac optogenetics in vivo: technical overview and perspective.

Authors:  Aleksandra Klimas; Emilia Entcheva
Journal:  J Biomed Opt       Date:  2014-08       Impact factor: 3.170

Review 7.  Our search for the porcine mother rotor.

Authors:  Raymond E Ideker; Jian Huang
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-10       Impact factor: 1.468

8.  Mechanisms of ventricular fibrillation in canine models of congestive heart failure and ischemia assessed by in vivo noncontact mapping.

Authors:  Thomas H Everett; Emily E Wilson; Scott Foreman; Jeffrey E Olgin
Journal:  Circulation       Date:  2005-09-06       Impact factor: 29.690

Review 9.  Imaging ventricular fibrillation.

Authors:  Guy Salama; Bum-Rak Choi
Journal:  J Electrocardiol       Date:  2007 Nov-Dec       Impact factor: 1.438

10.  Arrhythmia phenotype in mouse models of human long QT.

Authors:  Guy Salama; Linda Baker; Robert Wolk; Jacques Barhanin; Barry London
Journal:  J Interv Card Electrophysiol       Date:  2009-01-16       Impact factor: 1.900

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