Is human atrial fibrillation stochastic or deterministic?-Insights from missing ordinal patterns and causal entropy-complexity plane analysis.

@article{Aronis2018IsHA,
  title={Is human atrial fibrillation stochastic or deterministic?-Insights from missing ordinal patterns and causal entropy-complexity plane analysis.},
  author={Konstantinos N. Aronis and Ronald D. Berger and Hugh Calkins and Jonathan Chrispin and Joseph E. Marine and David D Spragg and Susumu Tao and Harikrishna Tandri and Hiroshi Ashikaga},
  journal={Chaos},
  year={2018},
  volume={28 6},
  pages={
          063130
        }
}
The mechanism of atrial fibrillation (AF) maintenance in humans is yet to be determined. It remains controversial whether cardiac fibrillatory dynamics are the result of a deterministic or a stochastic process. Traditional methods to differentiate deterministic from stochastic processes have several limitations and are not reliably applied to short and noisy data obtained during clinical studies. The appearance of missing ordinal patterns (MOPs) using the Bandt-Pompe (BP) symbolization is… 

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References

SHOWING 1-10 OF 72 REFERENCES

Non-linear coupling of atrial activation processes during atrial fibrillation in humans

TLDR
The bivariate approach suggests that the measurement of organization during AF should be based on the estimation of the non- linear coupling between two sites, which appears to be more reliable and sensitive than non-linear analysis of single electrograms or linear analysis of their coupling.

Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model

TLDR
A Moe-type cellular automaton is implemented on a novel, topologically equivalent surface geometry of the left atrium and used to simulate stochastic initiation and spontaneous termination of AF, arising from bursts of spontaneous activation near pulmonary veins.

Critical phase transitions during ablation of atrial fibrillation.

TLDR
Simulating ablation in an anatomically-correct 3D AF model shows the presence of sudden rhythm organization during ablation of persistent AF, consistent with the hypothesis that transitions from AF to an anatomical flutter behave as phase transitions in complex non-equilibrium dynamical systems with flutter acting as an absorbing state.

Nonlinear analysis of human atrial flutter and fibrillation using surface electrocardiogram

TLDR
Methods from the theory of nonlinear dynamics to characterize electrograms of atrial flutter and fibrillation in humans and show evidence that they exhibited a significant differentiation allowing the classification of these arrhythmias are obtained.

Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate.

TLDR
The findings show that the level of uncertainty present in patient-specific atrial models reconstructed without any invasive measurements is sufficiently high that a personalized ablation strategy based on targeting simulation-predicted RD trajectories alone may not produce the desired result.

A Stochastic Individual-Based Model of the Progression of Atrial Fibrillation in Individuals and Populations

TLDR
A non-Markovian binary switching model incorporating three different aspects of AF progression: genetic disposition, disease/age related remodelling, and AF-related remodelling is developed that has potential to link mechanisms of AF to progression, and to be used as a tool to study clinical markers of AF or as training data for AF classification algorithms.

Nonhomogeneous Local Atrial Activity During Acute Atrial Fibrillation: Spectral and Dynamic Analysis

TLDR
A Fib is both temporally and spatially heterogeneous and that all combinations of the four different types of A Fib occur simultaneously and may be helpful in developing robust algorithms for A Fib recognition for antitachycardia devices.

Human Atrial Action Potential and Ca2+ Model: Sinus Rhythm and Chronic Atrial Fibrillation

TLDR
A new human atrial action potential model is developed, derived from atrial experimental results and human ventricular myocyte model, and shows how Na+ and Ca2+ homeostases critically mediate abnormal repolarization in AF.
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