In silico optical modulation of spiral wave trajectories in cardiac tissue

Sayedeh Hussaini1,2, Rupamanjari Majumder3,4, Valentin Krinski4

  • 1Institute of Pharmacology and Toxicology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Niedersachsen, Germany. sayedeh.hussaini@ds.mpg.de.

Insights

Computational cardiac optogenetics reveals new ways to control spiral wave dynamics in the heart. This research offers insights into optimizing defibrillation for treating life-threatening cardiac arrhythmias.

Area of Science:

  • Computational biology
  • Cardiac electrophysiology
  • Optogenetics

Background:

  • Life-threatening cardiac arrhythmias, like ventricular tachycardia and fibrillation, are linked to abnormal electrical spiral waves in the heart, often leading to sudden cardiac death.
  • Current treatments like defibrillation, while effective, have negative side effects, highlighting the need for improved arrhythmia control strategies.
  • Understanding spiral wave dynamics is crucial for optimizing therapeutic interventions.

Purpose of the Study:

  • To investigate and control the dynamics of a single spiral wave in a computational model of a mouse ventricle using optogenetics.
  • To explore the effects of different optical stimulation frequencies on spiral wave trajectories.
  • To develop and test a resonant feedback pacing method for steering spiral wave behavior.

Main Methods:

  • Utilized a detailed, light-sensitive computational model of a mouse ventricle.
  • Applied periodic optical pulses in the sub-threshold regime to observe spiral wave core trajectories.
  • Implemented resonant feedback pacing, triggering optical pulses based on real-time membrane voltage measurements.

Main Results:

  • Observed various spiral wave core drift trajectories, including epicycloidal, hypocycloidal, and resonant patterns, under global optical stimulation.
  • Demonstrated successful steering of spiral wave dynamics using resonant feedback pacing, controlled by electrode position.
  • Provided mechanistic insights into the efficacy of optical stimulation for arrhythmia control.

Conclusions:

  • Computational cardiac optogenetics offers a powerful tool for studying and manipulating cardiac spiral wave dynamics.
  • Resonant feedback pacing presents a promising method for targeted control of spiral waves, potentially leading to more effective arrhythmia therapies.
  • This study enhances understanding of optical stimulation's role in managing cardiac arrhythmias and improving defibrillation strategies.

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