Inter-Scale Information Flow as a Surrogate for Downward Causation That Maintains Spiral Waves
Hiroshi Ashikaga, Ryan G. James

TL;DR
This study uses a multiscale information flow analysis to investigate the role of spiral wave rotors in atrial fibrillation, revealing that downward causation is weak and questioning the rotor-driven paradigm.
Contribution
It introduces a novel multiscale transfer entropy framework to quantify inter-scale information flow in cardiac models, challenging the rotor-centric view of AF maintenance.
Findings
Transfer entropy accurately measures inter-scale information flow.
Downward information flow decreases with more macroscopic descriptions.
Number of rotors correlates with downward information flow, but not necessarily causally.
Abstract
The mechanism that maintains atrial fibrillation (AF) remains elusive. One approach to understanding and controlling the mechanism ("AF driver") is to quantify inter-scale information flow from macroscopic to microscopic behaviors of the cardiac system as a surrogate for the downward causation of the AF driver. We use a numerical model of a cardiac system with one of the potential AF drivers, a rotor, the rotation center of spiral waves, and generate a renormalization group with system descriptions at multiple scales. We find that transfer entropy accurately quantifies the upward and downward information flow between microscopic and macroscopic descriptions of the cardiac system with spiral waves. Because the spatial profile of transfer entropy and intrinsic transfer entropy is identical, there are no synergistic effects in the system. We also find that inter-scale information flow…
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