title: Role of atrial substrate and spatiotemporal organization in atrial fibrillation.
abstract: Atrial fibrillation (AF) is a heterogeneous disease that presents in a wide range of clinical scenarios. Correspondingly, a diverse array of large animal models has developed for the study of AF. Different atrial substrate exists in these models, and quantitative analysis of the AF that develops in each case reveals unique characteristics. This article reviews the defining properties of several prominent AF animal models, with a focus on how spatiotemporal organization can discriminate between AF substrates. It addresses how spatiotemporal assessments have been extended to human AF and discusses the insights gained from these new analyses.
authors.affiliation: Department of Medicine, University of California, San Francisco, San Francisco, California 94143-1354, USA. Albert.Kim@ucsf.edu
authors.forename: Albert M
authors.initials: AM
authors.lastname: Kim
authors.forename: Jeffrey E
authors.initials: JE
authors.lastname: Olgin
authors.forename: Thomas H
authors.initials: TH
authors.lastname: Everett
mesh_terms: D000818:Animals; D001281:Atrial Fibrillation / Q000473:pathology* / Q000503:physiopathology; D002304:Cardiac Pacing, Artificial; D004195:Disease Models, Animal; D004285:Dogs; D005583:Fourier Analysis; D006325:Heart Atria / Q000473:pathology / Q000503:physiopathology; D006329:Heart Conduction System / Q000187:drug effects / Q000473:pathology* / Q000503:physiopathology; D006333:Heart Failure / Q000473:pathology* / Q000503:physiopathology; D006801:Humans; D008944:Mitral Valve Insufficiency / Q000473:pathology* / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted