Granger Causality-Based Fibrillation Analysis

WHAT IS KNOWN?

  1. Preclinical studies have implicated multiple mechanisms for sustaining myocardial fibrillation
  2. Clinical translation to guide treatment in patients with atrial fibrillation and ventricular fibrillation survival remains challenging due to poor spatial resolution of clinical mapping systems and a lack of suitable analysis tool.

WHAT THIS STUDY ADDS?

  1. Granger causality analysis, originally an econometric tool for quantifying causal relationships between complex-time series, was developed in rat ventricular fibrillation and validated in human ventricular fibrillation and atrial fibrillation as a novel fibrillation mapping tool.
  2. Grange causality-based fibrillation analysis can measure global fibrillation organization, characterize dominant propagating patterns, and map rotational drivers using low spatial resolution sequentially acquired data.

LINK TO ARTICLE

Handa BS, Li X, Aras KK, Qureshi NA, Mann I, Chowdhury RA, Whinnett ZI, Linton NWF, Lim PB, Kanagaratnam P, Efimov IR, Peters NS, Ng FS. Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers. Circ Arrhythm Electrophysiol. 2020 Mar;13(3):e008237. doi: 10.1161/CIRCEP.119.008237. Epub 2020 Feb 16. PubMed PMID: 32064900; PubMed Central PMCID: PMC7069398.