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Directed networks as a novel way to describe and analyze cardiac excitation : directed graph mapping

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Abstract
Networks provide a powerful methodology with applications in a variety of biological, technological and social systems such as analysis of brain data, social networks, internet search engine algorithms, etc. To date, directed networks have not yet been applied to characterize the excitation of the human heart. In clinical practice, cardiac excitation is recorded by multiple discrete electrodes. During (normal) sinus rhythm or during cardiac arrhythmias, successive excitation connects neighboring electrodes, resulting in their own unique directed network. This in theory makes it a perfect fit for directed network analysis. In this study, we applied directed networks to the heart in order to describe and characterize cardiac arrhythmias. Proof-of-principle was established using in-silico and clinical data. We demonstrated that tools used in network theory analysis allow determination of the mechanism and location of certain cardiac arrhythmias. We show that the robustness of this approach can potentially exceed the existing state-of-the art methodology used in clinics. Furthermore, implementation of these techniques in daily practice can improve the accuracy and speed of cardiac arrhythmia analysis. It may also provide novel insights in arrhythmias that are still incompletely understood.
Keywords
network theory, cardiac arrhythmia, atrial tachycardia, rotational activity, focal activity, phase mapping, PERSISTENT ATRIAL-FIBRILLATION, CATHETER ABLATION, EXTRACELLULAR POTENTIALS, CONVENTIONAL ABLATION, FOCAL IMPULSE, HEART-DISEASE, TACHYCARDIA, PHASE, ACTIVATION, ROTOR

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MLA
Vandersickel, Nele, et al. “Directed Networks as a Novel Way to Describe and Analyze Cardiac Excitation : Directed Graph Mapping.” FRONTIERS IN PHYSIOLOGY, vol. 10, 2019.
APA
Vandersickel, N., Van Nieuwenhuyse, E., Van Cleemput, N., Goedgebeur, J., El Haddad, M., De Neve, J., … Panfilov, A. (2019). Directed networks as a novel way to describe and analyze cardiac excitation : directed graph mapping. FRONTIERS IN PHYSIOLOGY, 10.
Chicago author-date
Vandersickel, Nele, Enid Van Nieuwenhuyse, Nicolas Van Cleemput, Jan Goedgebeur, Milad El Haddad, Jan De Neve, Anthony Demolder, Teresa Strisciuglio, Mattias Duytschaever, and Alexander Panfilov. 2019. “Directed Networks as a Novel Way to Describe and Analyze Cardiac Excitation : Directed Graph Mapping.” FRONTIERS IN PHYSIOLOGY 10.
Chicago author-date (all authors)
Vandersickel, Nele, Enid Van Nieuwenhuyse, Nicolas Van Cleemput, Jan Goedgebeur, Milad El Haddad, Jan De Neve, Anthony Demolder, Teresa Strisciuglio, Mattias Duytschaever, and Alexander Panfilov. 2019. “Directed Networks as a Novel Way to Describe and Analyze Cardiac Excitation : Directed Graph Mapping.” FRONTIERS IN PHYSIOLOGY 10.
Vancouver
1.
Vandersickel N, Van Nieuwenhuyse E, Van Cleemput N, Goedgebeur J, El Haddad M, De Neve J, et al. Directed networks as a novel way to describe and analyze cardiac excitation : directed graph mapping. FRONTIERS IN PHYSIOLOGY. 2019;10.
IEEE
[1]
N. Vandersickel et al., “Directed networks as a novel way to describe and analyze cardiac excitation : directed graph mapping,” FRONTIERS IN PHYSIOLOGY, vol. 10, 2019.
@article{8631643,
  abstract     = {Networks provide a powerful methodology with applications in a variety of biological, technological and social systems such as analysis of brain data, social networks, internet search engine algorithms, etc. To date, directed networks have not yet been applied to characterize the excitation of the human heart. In clinical practice, cardiac excitation is recorded by multiple discrete electrodes. During (normal) sinus rhythm or during cardiac arrhythmias, successive excitation connects neighboring electrodes, resulting in their own unique directed network. This in theory makes it a perfect fit for directed network analysis. In this study, we applied directed networks to the heart in order to describe and characterize cardiac arrhythmias. Proof-of-principle was established using in-silico and clinical data. We demonstrated that tools used in network theory analysis allow determination of the mechanism and location of certain cardiac arrhythmias. We show that the robustness of this approach can potentially exceed the existing state-of-the art methodology used in clinics. Furthermore, implementation of these techniques in daily practice can improve the accuracy and speed of cardiac arrhythmia analysis. It may also provide novel insights in arrhythmias that are still incompletely understood.},
  articleno    = {1138},
  author       = {Vandersickel, Nele and Van Nieuwenhuyse, Enid and Van Cleemput, Nicolas and Goedgebeur, Jan and El Haddad, Milad and De Neve, Jan and Demolder, Anthony and Strisciuglio, Teresa and Duytschaever, Mattias and Panfilov, Alexander},
  issn         = {1664-042X},
  journal      = {FRONTIERS IN PHYSIOLOGY},
  keywords     = {network theory,cardiac arrhythmia,atrial tachycardia,rotational activity,focal activity,phase mapping,PERSISTENT ATRIAL-FIBRILLATION,CATHETER ABLATION,EXTRACELLULAR POTENTIALS,CONVENTIONAL ABLATION,FOCAL IMPULSE,HEART-DISEASE,TACHYCARDIA,PHASE,ACTIVATION,ROTOR},
  language     = {eng},
  pages        = {14},
  title        = {Directed networks as a novel way to describe and analyze cardiac excitation : directed graph mapping},
  url          = {http://dx.doi.org/10.3389/fphys.2019.01138},
  volume       = {10},
  year         = {2019},
}

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