Scale-invariant structures of spiral waves

BACKGROUND Spiral waves are considered to be one of the potential mechanisms that maintain complex arrhythmias such as atrial and ventricular fibrillation. The aim of the present study was to quantify the complex dynamics of spiral waves as the organizing manifolds of information flow at multiple scales. METHOD We simulated spiral waves using a numerical model of cardiac excitation in a two-dimensional (2-D) lattice. We created a renormalization group by coarse graining and re-scaling the original time series in multiple spatiotemporal scales, and quantified the Lagrangian coherent structures (LCS) of the information flow underlying the spiral waves. To quantify the scale-invariant structures, we compared the value of the finite-time Lyapunov exponent between the corresponding components of the 2-D lattice in each spatiotemporal scale of the renormalization group with that of the original scale. RESULTS Both the repelling and the attracting LCS changed across the different spatial and temporal scales of the renormalization group. However, despite the change across the scales, some LCS were scale-invariant. The patterns of those scale-invariant structures were not obvious from the trajectory of the spiral waves based on voltage mapping of the lattice. CONCLUSIONS Some Lagrangian coherent structures of information flow underlying spiral waves are preserved across multiple spatiotemporal scales.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  H. Ashikaga,et al.  Impact of number of co-existing rotors and inter-electrode distance on accuracy of rotor localization. , 2017, Journal of electrocardiology.

[3]  李永军,et al.  Atrial Fibrillation , 1999 .

[4]  Ashok J. Shah,et al.  Driver Domains in Persistent Atrial Fibrillation , 2014, Circulation.

[5]  Ryan G. James,et al.  Hidden structures of information transport underlying spiral wave dynamics. , 2016, Chaos.

[6]  Sanghamitra Mohanty,et al.  Acute and early outcomes of focal impulse and rotor modulation (FIRM)-guided rotors-only ablation in patients with nonparoxysmal atrial fibrillation. , 2016, Heart rhythm.

[7]  J. Marsden,et al.  Definition and properties of Lagrangian coherent structures from finite-time Lyapunov exponents in two-dimensional aperiodic flows , 2005 .

[8]  F. Fenton,et al.  Multiple mechanisms of spiral wave breakup in a model of cardiac electrical activity. , 2002, Chaos.

[9]  Ryan G. James,et al.  Inter-scale information flow as a surrogate for downward causation that maintains spiral waves. , 2017, Chaos.

[10]  Rahul Wadke,et al.  Atrial fibrillation. , 2022, Disease-a-month : DM.

[11]  W. Baxter,et al.  Spiral waves of excitation underlie reentrant activity in isolated cardiac muscle. , 1993, Circulation research.

[12]  L. Kadanoff Scaling laws for Ising models near T(c) , 1966 .

[13]  Hiroshi Ashikaga,et al.  A Sender Encoder Channel Noise Decoder Receiver MESSAGE MESSAGE Cardiomyocyte Intercalated Disc / Intervening Cardiomyocytes Action Potential excited : 1 resting : 0 Action Potential excited : 1 resting : 0 Cardiomyocyte , 2017 .

[14]  F. Fenton,et al.  Vortex dynamics in three-dimensional continuous myocardium with fiber rotation: Filament instability and fibrillation. , 1998, Chaos.

[15]  Kalyanam Shivkumar,et al.  Quantitative Analysis of Localized Sources Identified by Focal Impulse and Rotor Modulation Mapping in Atrial Fibrillation , 2015, Circulation. Arrhythmia and electrophysiology.

[16]  G. Haller,et al.  Lagrangian coherent structures and mixing in two-dimensional turbulence , 2000 .

[17]  Joseph T. Lizier,et al.  JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems , 2014, Front. Robot. AI.

[18]  Mari Kawakatsu,et al.  Causal Scale of Rotors in a Cardiac System , 2017, Front. Phys..

[19]  Schreiber,et al.  Measuring information transfer , 2000, Physical review letters.

[20]  M. Botur,et al.  Lagrangian coherent structures , 2009 .

[21]  R. Berntsen,et al.  Focal impulse and rotor modulation as a stand-alone procedure for the treatment of paroxysmal atrial fibrillation: A within-patient controlled study with implanted cardiac monitoring. , 2016, Heart rhythm.

[22]  E. Ciaccio,et al.  Dynamic Relationship of Cycle Length to Reentrant Circuit Geometry and to the Slow Conduction Zone During Ventricular Tachycardia , 2001, Circulation.

[23]  Kalyanam Shivkumar,et al.  Long-term clinical outcomes of focal impulse and rotor modulation for treatment of atrial fibrillation: A multicenter experience. , 2016, Heart rhythm.