Multifractal Desynchronization of the Cardiac Excitable Cell Network During Atrial Fibrillation. II. Modeling
ARGOUL, Françoise
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
Leer más >
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
ARGOUL, Françoise
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
< Leer menos
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
Idioma
en
Article de revue
Este ítem está publicado en
Frontiers in Physiology. 2019, vol. 10, p. 480
Frontiers
Resumen en inglés
In a companion paper (I. Multifractal analysis of clinical data), we used a wavelet-based multiscale analysis to reveal and quantify the multifractal intermittent nature of the cardiac impulse energy in the low frequency ...Leer más >
In a companion paper (I. Multifractal analysis of clinical data), we used a wavelet-based multiscale analysis to reveal and quantify the multifractal intermittent nature of the cardiac impulse energy in the low frequency range 2Hz during atrial fibrillation (AF). It demarcated two distinct areas within the coronary sinus (CS) with regionally stable multifractal spectra likely corresponding to different anatomical substrates. The electrical activity also showed no sign of the kind of temporal correlations typical of cascading processes across scales, thereby indicating that the multifractal scaling is carried by variations in the large amplitude oscillations of the recorded bipolar electric potential. In the present study, to account for these observations, we explore the role of the kinetics of gap junction channels (GJCs), in dynamically creating a new kind of imbalance between depolarizing and repolarizing currents. We propose a one-dimensional (1D) spatial model of a denervated myocardium, where the coupling of cardiac cells fails to synchronize the network of cardiac cells because of abnormal transjunctional capacitive charging of GJCs. We show that this non-ohmic nonlinear conduction 1D modeling accounts quantitatively well for the "multifractal random noise" dynamics of the electrical activity experimentally recorded in the left atrial posterior wall area. We further demonstrate that the multifractal properties of the numerical impulse energy are robust to changes in the model parameters.< Leer menos
Palabras clave en inglés
Excitable cell network
Modeling
Intermittent dynamics
Atrial fibrillation
Multifractal analysis
Kinetics of gap junction channel
Orígen
Importado de HalCentros de investigación