Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/27620
Title: Identification of Dominant Excitation Patterns and Sources of Atrial Fibrillation by Causality Analysis.
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Issue Date: 2016
Citation: Ann Biomed Eng.2016 08;(44)8:2364-76
Abstract: Burden of atrial fibrillation (AF) can be reduced by ablation of sources of electrical impulses driving AF but driver identification is still challenging. This study presents a new methodology based on causality analysis that allows identifying the hierarchically dominant areas driving AF. Identification of dominant propagation patterns was achieved by computing causal relations between intracardiac multi-electrode catheter recordings of four paroxysmal AF patients during sinus rhythm, pacing and AF. In addition, realistic mathematical models of the atria during AF were used to validate the methodology both in the presence and absence of dominant frequency (DF) gradients. During electrical pacing, sources of propagation patterns detected by causality analysis were consistent with the location of the stimulating catheter. During AF, propagation patterns presented temporal variability, but a dominant direction accounted for significantly more propagations than other directions (49 ± 15% vs. 14 ± 13% or less, p < 0.01). Both in patients with a DF gradient and in mathematical models, causal maps allowed the identification of sites responsible for maintenance of AF. Causal maps allowed the identification of atrial dominant sites. In particular, causality analysis resulted in stable dominant cause-effect propagation directions during AF and could serve as a guide for performing ablation procedures in AF patients.
PMID: 26850022
URI: https://hdl.handle.net/20.500.12530/27620
Rights: openAccess
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. General U. Gregorio Marañón > Artículos
Fundaciones e Institutos de Investigación > IIS H. U. Ramón y Cajal > Artículos

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