Literature DB >> 25729463

Frontiers in Non-invasive Cardiac Mapping: Rotors in Atrial Fibrillation-Body Surface Frequency-Phase Mapping.

Felipe Atienza1, Andreu M Climent1, María S Guillem2, Omer Berenfeld3.   

Abstract

Experimental and clinical data demonstrate that atrial fibrillation (AF) maintenance in animals and groups of patients depends on localized reentrant sources localized primarily to the pulmonary veins (PVs) and the left atrium(LA) posterior wall in paroxysmal AF but elsewhere, including the right atrium (RA), in persistent AF. Moreover, AF can be eliminated by directly ablating AF-driving sources or "rotors," that exhibit high-frequency, periodic activity. The RADAR-AF randomized trial demonstrated that an ablation procedure based on a more target-specific strategy aimed at eliminating high frequency sites responsible for AF maintenance is as efficacious as and safer than empirically isolating all the PVs. In contrast to the standard ECG, global atrial noninvasive frequency analysis allows non-invasive identification of high-frequency sources before the arrival at the electrophysiology laboratory for ablation. Body surface potential map (BSPM) replicates the endocardial distribution of DFs with localization of the highest DF (HDF) and can identify small areas containing the high-frequency sources. Overall, BSPM had a sensitivity of 75% and specificity of 100% for capturing intracardiac EGMs as having LARA DF gradient. However, raw BSPM data analysis of AF patterns of activity showed incomplete and instable reentrant patterns of activation. Thus, we developed an analysis approach whereby a narrow band-pass filtering allowed selecting the electrical activity projected on the torso at the HDF, which stabilized the projection of rotors that potentially drive AF on the surface. Consequently, driving reentrant patterns ("rotors") with spatiotemporal stability during >70% of the AF time could be observed noninvasibly after HDF-filtering. Moreover, computer simulations found that the combination of BSPM phase mapping with DF analysis enabled the discrimination of true rotational patterns even during the most complex AF. Altogether, these studies show that the combination of DF analysis with phase maps of HDF-filtered surface ECG recordings allows noninvasive localization of atrial reentries during AF and further a physiologically-based rationale for personalized diagnosis and treatment of patients with AF.

Entities:  

Keywords:  Atrial fibrillation; Body surface mapping; Dominant frequency Fourier transform; Phase mapping; Rotors

Year:  2015        PMID: 25729463      PMCID: PMC4341909          DOI: 10.1016/j.ccep.2014.11.002

Source DB:  PubMed          Journal:  Card Electrophysiol Clin        ISSN: 1877-9182


  32 in total

1.  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

2.  Quantifying activation frequency in atrial fibrillation to establish underlying mechanisms and ablation guidance.

Authors:  Omer Berenfeld
Journal:  Heart Rhythm       Date:  2007-05-13       Impact factor: 6.343

3.  Catheter ablation of long-lasting persistent atrial fibrillation: critical structures for termination.

Authors:  Michel Haïssaguerre; Prashanthan Sanders; Mélèze Hocini; Yoshihide Takahashi; Martin Rotter; Frederic Sacher; Thomas Rostock; Li-Fern Hsu; Pierre Bordachar; Sylvain Reuter; Raymond Roudaut; Jacques Clémenty; Pierre Jaïs
Journal:  J Cardiovasc Electrophysiol       Date:  2005-11

4.  A focal source of atrial fibrillation treated by discrete radiofrequency ablation.

Authors:  P Jaïs; M Haïssaguerre; D C Shah; S Chouairi; L Gencel; M Hocini; J Clémenty
Journal:  Circulation       Date:  1997-02-04       Impact factor: 29.690

5.  Frequency analysis in different types of paroxysmal atrial fibrillation.

Authors:  Yenn-Jiang Lin; Ching-Tai Tai; Tsair Kao; Han-Wen Tso; Satoshi Higa; Hsuan-Ming Tsao; Shih-Lin Chang; Ming-Hsiung Hsieh; Shih-Ann Chen
Journal:  J Am Coll Cardiol       Date:  2006-03-15       Impact factor: 24.094

6.  Noninvasive localization of maximal frequency sites of atrial fibrillation by body surface potential mapping.

Authors:  Maria S Guillem; Andreu M Climent; Jose Millet; Ángel Arenal; Francisco Fernández-Avilés; José Jalife; Felipe Atienza; Omer Berenfeld
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-02-26

7.  Spatiotemporal periodicity during atrial fibrillation in the isolated sheep heart.

Authors:  A C Skanes; R Mandapati; O Berenfeld; J M Davidenko; J Jalife
Journal:  Circulation       Date:  1998-09-22       Impact factor: 29.690

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.  Direct or coincidental elimination of stable rotors or focal sources may explain successful atrial fibrillation ablation: on-treatment analysis of the CONFIRM trial (Conventional ablation for AF with or without focal impulse and rotor modulation).

Authors:  Sanjiv M Narayan; David E Krummen; Paul Clopton; Kalyanam Shivkumar; John M Miller
Journal:  J Am Coll Cardiol       Date:  2013-04-03       Impact factor: 24.094

10.  Frequency-dependent breakdown of wave propagation into fibrillatory conduction across the pectinate muscle network in the isolated sheep right atrium.

Authors:  Omer Berenfeld; Alexey V Zaitsev; Sergey F Mironov; Arkady M Pertsov; José Jalife
Journal:  Circ Res       Date:  2002-06-14       Impact factor: 17.367

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  2 in total

Review 1.  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

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

Authors:  Carlos Sánchez; Alfonso Bueno-Orovio; Esther Pueyo; Blanca Rodríguez
Journal:  Front Bioeng Biotechnol       Date:  2017-05-08
  2 in total

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