Literature DB >> 19467508

Genesis of complex fractionated atrial electrograms in zones of slow conduction: a computer model of microfibrosis.

Vincent Jacquemet1, Craig S Henriquez.   

Abstract

BACKGROUND: Complex fractionated atrial electrograms are used as potential targets for catheter ablation therapy of atrial fibrillation. Although fibrosis has been associated with the presence of fractionated electrograms, characterizing the substrate through the inspection of electrograms is challenging.
OBJECTIVE: This study sought to determine how progression of microfibrosis and slow conduction affect electrogram morphology.
METHODS: A microstructure computer model representing a monolayer of cardiac cells was developed. Slow conduction was induced by: (1) sodium channel blockade, (2) uniform reduction in cell-to-cell coupling, and (3) microfibrosis incorporated as a set of collagenous septa disconnecting transverse coupling. The density (0 to 30%) and length (30 to 945 microm) of these collagenous septa were varied. Unipolar and bipolar electrograms were computed during paced rhythm for a set of electrodes with different tip sizes.
RESULTS: The analysis of unipolar electrograms with realistic temporal and spatial filtering showed that increasing the density and length of collagenous septa decreased conduction velocity by up to 75% and increased the amount of fractionation (up to 14 deflections) and asymmetry of the electrograms. In contrast, slow conduction induced by sodium channel blockade or uniformly reduced coupling did not result in electrogram fractionation. When a larger electrode was used, electrogram amplitude was smaller and fractionation increased in a substrate-dependent way.
CONCLUSION: Microscale obstacles cause significant changes to electrogram waveforms. Conduction velocity and electrogram amplitude and degree of fractionation can be used to discriminate the nature of the substrate and characteristics of fibrosis, giving rise to slow conduction.

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Mesh:

Year:  2009        PMID: 19467508      PMCID: PMC3577929          DOI: 10.1016/j.hrthm.2009.02.026

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  18 in total

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2.  Loading effect of fibroblast-myocyte coupling on resting potential, impulse propagation, and repolarization: insights from a microstructure model.

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4.  Mechanism of origin of conduction disturbances in aging human atrial bundles: experimental and model study.

Authors:  Madison S Spach; J Francis Heidlage; Paul C Dolber; Roger C Barr
Journal:  Heart Rhythm       Date:  2006-11-01       Impact factor: 6.343

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6.  S-wave predominance of epicardial electrograms during atrial fibrillation in humans: indirect evidence for a role of the thin subepicardial layer.

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Journal:  Heart Rhythm       Date:  2004-12       Impact factor: 6.343

7.  Effect of gap junction distribution on impulse propagation in a monolayer of myocytes: a model study.

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10.  The effects of aging on atrial endocardial electrograms in patients with paroxysmal atrial fibrillation.

Authors:  Osmar Antonio Centurión; Shojiro Isomoto; Akihiko Shimizu; Atsushi Konoe; Muneshige Kaibara; Tetsuya Hirata; Osamu Hano; Ryoji Sakamoto; Motonobu Hayano; Katsusuke Yano
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  44 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

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Authors:  Vincent Jacquemet
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3.  A 2D-computer model of atrial tissue based on histographs describes the electro-anatomical impact of microstructure on endocardiac potentials and electric near-fields.

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5.  Catheter ablation of persistent atrial fibrillation: The importance of substrate modification.

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6.  A microstructural model of reentry arising from focal breakthrough at sites of source-load mismatch in a central region of slow conduction.

Authors:  Marjorie Letitia Hubbard; Craig S Henriquez
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7.  Left atrial electrophysiologic feature specific for the genesis of complex fractionated atrial electrogram during atrial fibrillation.

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Review 9.  Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia.

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10.  Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms.

Authors:  Caroline H Roney; Jason D Bayer; Sohail Zahid; Marianna Meo; Patrick M J Boyle; Natalia A Trayanova; Michel Haïssaguerre; Rémi Dubois; Hubert Cochet; Edward J Vigmond
Journal:  Europace       Date:  2016-12       Impact factor: 5.214

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