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Related Experiment Videos

Spatial and temporal organization during cardiac fibrillation

R A Gray1, A M Pertsov, J Jalife

  • 1Department of Pharmacology, SUNY Health Science Center, Syracuse, New York 13210, USA. rag@crml.uab.edu

Nature
|March 24, 1998
PubMed
Summary

Cardiac fibrillation, a leading cause of death, shows surprising organization. New methods reveal phase singularities as the sources of this complex cardiac electrical activity.

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Area of Science:

  • Cardiology
  • Biophysics
  • Computational Biology

Background:

  • Cardiac fibrillation is a major cause of mortality, but its underlying mechanisms remain poorly understood.
  • The debate continues on whether fibrillation is a random event or exhibits deterministic patterns, possibly due to rotating electrical waves.

Purpose of the Study:

  • To develop a novel algorithm for simplifying the analysis of complex spatiotemporal patterns in cardiac fibrillation.
  • To identify the organizing principles and sources of cardiac fibrillation using advanced imaging and data analysis.

Main Methods:

  • Utilized potentiometric dye and video imaging to record transmembrane potential dynamics across multiple cardiac sites.
  • Developed a new algorithm to reduce data requirements for depicting fibrillation patterns.

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  • Analyzed transmembrane signals for periodic components and represented cardiac sites by their phase around a 2D-phase space attractor.
  • Main Results:

    • Identified a strong periodic component (around 8 Hz) in transmembrane signals at each site.
    • Spatial phase maps revealed topological defects, or phase singularities, as the 'sources' of fibrillation.
    • Demonstrated that locating phase singularities elucidates fibrillation formation, termination, and overall organization.

    Conclusions:

    • Cardiac fibrillation exhibits significant temporal and spatial organization, challenging the notion of it being a purely random phenomenon.
    • Phase singularities are key organizing centers in cardiac fibrillation.
    • The new algorithm provides an unprecedented method for representing and understanding cardiac fibrillation dynamics.