Literature DB >> 21699849

Time- and frequency-domain analyses of atrial fibrillation activation rate: the optical mapping reference.

Omer Berenfeld1, Steve Ennis, Elliot Hwang, Brian Hooven, Krzysztof Grzeda, Sergey Mironov, Masatoshi Yamazaki, Jérôme Kalifa, José Jalife.   

Abstract

BACKGROUND: Time- and frequency-domain estimates of activation rate have been proposed to guide atrial fibrillation (AF) ablation in patients, but their electrophysiological correlates are unclear.
OBJECTIVE: This study sought to examine the relative correlation of average electrical cycle length (CL) and dominant frequency (DF) during AF with reference optical mapping measures.
METHODS: Eight sheep hearts were Langendorff-perfused and superfused with oxygenated Tyrode solution inside a tank representing the human thorax. Optical mapping (DI-4-ANEPPS) of 4 × 4 cm2 in the left atrium was performed at 0.5 mm/pixel and 600 fps. A 20-pole catheter was placed in the optical field of view to acquire 1.2-kHz unipolar recordings by the EnSite NavX System (ENS; St. Jude Medical, St. Paul, MN) optimized for CL and DF calculation. During AF, 5-second-long simultaneous optical and electrical signals were analyzed for CL and DF.
RESULTS: During pacing, DF measurements had fewer false results than CL (6.6% to 2.5% vs. 21.5% to 4.4% depending on filtering, P <.001). During AF in regions showing periodic waves on both sides of the catheter optical 1,000/CL versus DF correlation showed 95% confidence identity and was better than unipolar measurements in the ENS (adjusted R(2): 0.58879 vs. 0.12902; P < 10(-6)). DFs of unipolar signals correlated better than CLs with DFs of optical signals. Similarly, bipolar DF correlation with optical DF was not different from identity (P >.157), but the bipolar CL showed smaller identity with the optical CL (P <.0004).
CONCLUSION: DF values of unipolar and bipolar signals correlate with those of optical signals better than CL values for the respective signals.
Copyright © 2011 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21699849      PMCID: PMC3202688          DOI: 10.1016/j.hrthm.2011.05.007

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  23 in total

1.  Letter by Platonov et Al regarding article, "Dominant frequency of atrial fibrillation correlates poorly with atrial fibrillation cycle length".

Authors:  Pyotr G Platonov; Martin Stridh; Leif Sörnmo
Journal:  Circ Arrhythm Electrophysiol       Date:  2010-04

2.  Stable microreentrant sources as a mechanism of atrial fibrillation in the isolated sheep heart.

Authors:  R Mandapati; A Skanes; J Chen; O Berenfeld; J Jalife
Journal:  Circulation       Date:  2000-01-18       Impact factor: 29.690

3.  Letter by Berenfeld and Jalife regarding article "dominant frequency of atrial fibrillation correlates poorly with atrial fibrillation cycle length".

Authors:  Omer Berenfeld; José Jalife
Journal:  Circ Arrhythm Electrophysiol       Date:  2010-02

4.  High-density mapping of atrial fibrillation in humans: relationship between high-frequency activation and electrogram fractionation.

Authors:  Martin K Stiles; Anthony G Brooks; Pawel Kuklik; Bobby John; Hany Dimitri; Dennis H Lau; Lauren Wilson; Shashi Dhar; Ross L Roberts-Thomson; Lorraine Mackenzie; Glenn D Young; Prashanthan Sanders
Journal:  J Cardiovasc Electrophysiol       Date:  2008-07-25

5.  Complex fractionated atrial electrograms: properties of time-domain versus frequency-domain methods.

Authors:  Krzysztof R Grzeda; Sami F Noujaim; Omer Berenfeld; José Jalife
Journal:  Heart Rhythm       Date:  2009-07-16       Impact factor: 6.343

6.  Dominant frequency of atrial fibrillation correlates poorly with atrial fibrillation cycle length.

Authors:  Arif Elvan; Andre C Linnenbank; Marnix W van Bemmel; Anand R Ramdat Misier; Peter Paul H M Delnoy; Willem P Beukema; Jacques M T de Bakker
Journal:  Circ Arrhythm Electrophysiol       Date:  2009-12

7.  The relationship between electrogram cycle length and dominant frequency in patients with persistent atrial fibrillation.

Authors:  Sheldon M Singh; E Kevin Heist; Jacob S Koruth; Conor D Barrett; Jeremy N Ruskin; Moussa C Mansour
Journal:  J Cardiovasc Electrophysiol       Date:  2009-12

8.  Real-time dominant frequency mapping and ablation of dominant frequency sites in atrial fibrillation with left-to-right frequency gradients predicts long-term maintenance of sinus rhythm.

Authors:  Felipe Atienza; Jesús Almendral; José Jalife; Sharon Zlochiver; Robert Ploutz-Snyder; Esteban G Torrecilla; Angel Arenal; Jérôme Kalifa; Francisco Fernández-Avilés; Omer Berenfeld
Journal:  Heart Rhythm       Date:  2008-10-22       Impact factor: 6.343

9.  A prospective, multicenter evaluation of ablating complex fractionated electrograms (CFEs) during atrial fibrillation (AF) identified by an automated mapping algorithm: acute effects on AF and efficacy as an adjuvant strategy.

Authors:  Atul Verma; Paul Novak; Laurent Macle; Bonnie Whaley; Marianne Beardsall; Zaev Wulffhart; Yaariv Khaykin
Journal:  Heart Rhythm       Date:  2007-10-03       Impact factor: 6.343

10.  Spatial characteristics of atrial fibrillation electrocardiograms.

Authors:  Ulrike Richter; Martin Stridh; Andreas Bollmann; Daniela Husser; Leif Sörnmo
Journal:  J Electrocardiol       Date:  2008 Mar-Apr       Impact factor: 1.438

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  11 in total

1.  Surface and intramural reentrant patterns during atrial fibrillation in the sheep.

Authors:  O Berenfeld; M Yamazaki; D Filgueiras-Rama; J Kalifa
Journal:  Methods Inf Med       Date:  2014-05-23       Impact factor: 2.176

Review 2.  Processing and analysis of cardiac optical mapping data obtained with potentiometric dyes.

Authors:  Jacob I Laughner; Fu Siong Ng; Matthew S Sulkin; R Martin Arthur; Igor R Efimov
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-07-20       Impact factor: 4.733

Review 3.  Translational research in atrial fibrillation: a quest for mechanistically based diagnosis and therapy.

Authors:  Felipe Atienza; Raphael P Martins; José Jalife
Journal:  Circ Arrhythm Electrophysiol       Date:  2012-09-27

Review 4.  Mechanisms of Atrial Fibrillation: Rotors, Ionic Determinants, and Excitation Frequency.

Authors:  Omer Berenfeld; José Jalife
Journal:  Heart Fail Clin       Date:  2016-04       Impact factor: 3.179

Review 5.  Mechanisms of atrial fibrillation: rotors, ionic determinants, and excitation frequency.

Authors:  Omer Berenfeld; José Jalife
Journal:  Cardiol Clin       Date:  2014-10-23       Impact factor: 2.213

6.  High-rate pacing-induced atrial fibrillation effectively reveals properties of spontaneously occurring paroxysmal atrial fibrillation in humans.

Authors:  David Calvo; Felipe Atienza; José Jalife; Nieves Martínez-Alzamora; Loreto Bravo; Jesús Almendral; Esteban González-Torrecilla; Ángel Arenal; Javier Bermejo; Francisco Fernández-Avilés; Omer Berenfeld
Journal:  Europace       Date:  2012-06-13       Impact factor: 5.214

7.  Ectopic and reentrant activation patterns in the posterior left atrium during stretch-related atrial fibrillation.

Authors:  Masatoshi Yamazaki; David Filgueiras-Rama; Omer Berenfeld; Jérôme Kalifa
Journal:  Prog Biophys Mol Biol       Date:  2012-08-17       Impact factor: 3.667

8.  The normal electrocardiograms in the conscious newborn lambs in neonatal period and its progression.

Authors:  Karoline Koether; Carla Maria Vela Ulian; Maria Lucia Gomes Lourenço; Renato Souza Gonçalves; Mateus José Sudano; Raíssa Karolliny Salgueiro Cruz; Naiana da Silva Branchini; Angélica Alfonso; Simone Biagio Chiacchio
Journal:  BMC Physiol       Date:  2016-01-19

9.  A novel computational sheep atria model for the study of atrial fibrillation.

Authors:  Timothy D Butters; Oleg V Aslanidi; Jichao Zhao; Bruce Smaill; Henggui Zhang
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

10.  Software algorithm and hardware design for real-time implementation of new spectral estimator.

Authors:  Edward J Ciaccio; Angelo B Biviano; Hasan Garan
Journal:  Biomed Eng Online       Date:  2014-05-09       Impact factor: 2.819

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