title: Structural defects lead to dynamic entrapment in cardiac electrophysiology.
abstract: Biological networks are typically comprised of many parts whose interactions are governed by nonlinear dynamics. This potentially imbues them with the ability to support multiple attractors, and therefore to exhibit correspondingly distinct patterns of behavior. In particular, multiple attractors have been demonstrated for the electrical activity of the diseased heart in situations where cardioversion is able to convert a reentrant arrhythmia to a stable normal rhythm. Healthy hearts, however, are typically resilient to abnormal rhythms. This raises the question as to how a healthy cardiac cell network must be altered so that it can support multiple distinct behaviors. Here we demonstrate how anatomic defects can give rise to multi-stability in the heart as a function of the electrophysiological properties of the cardiac tissue and the timing of activation of ectopic foci. This leads to a form of hysteretic behavior, which we call dynamic entrapment, whereby the heart can become trapped in aberrant attractor as a result of a transient change in tissue properties. We show that this can lead to a highly inconsistent relationship between clinical symptoms and underlying pathophysiology, which raises the possibility that dynamic entrapment may underlie other forms of chronic idiopathic illness.
authors.affiliation: Boston University College of Engineering, 44 Cummington Mall, Boston, Massachusetts, 02215, United States of America.
authors.forename: Oliver R J
authors.initials: OR
authors.lastname: Bates
authors.affiliation: Boston University College of Engineering, 44 Cummington Mall, Boston, Massachusetts, 02215, United States of America.
authors.forename: Bela
authors.initials: B
authors.lastname: Suki
authors.affiliation: University of Vermont College of Medicine, 89 Beaumont Avenue, Burlington, Vermont, 05405, United States of America.
authors.forename: Peter S
authors.initials: PS
authors.lastname: Spector
authors.affiliation: University of Vermont College of Medicine, 89 Beaumont Avenue, Burlington, Vermont, 05405, United States of America.
authors.forename: Jason H T
authors.initials: JH
authors.lastname: Bates
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000473:pathology / Q000503:physiopathology*; D003198:Computer Simulation; D006329:Heart Conduction System; D006801:Humans; D008955:Models, Cardiovascular