Noise-induced effects on multicellular biopacemaker spontaneous activity: Differences between weak and strong...

Area of Science:

• Biophysics
• Cardiovascular Research
• Computational Biology

Background:

• Spontaneous activity in cardiac cell networks is crucial for heart pacemaking and biopacemaker development.
• Understanding the interplay of pacemaker cell characteristics, density, and spatial distribution is essential for biopacemaker design.

Purpose of the Study:

• To investigate how pacemaker cell properties, density, and spatial distribution affect spontaneous multicellular electrical activity.
• To determine the optimal conditions for sustaining biopacemaker activity.

Main Methods:

• Utilized a stochastic pattern formation algorithm to simulate heterogeneous cardiac cell networks.
• Analyzed the impact of varying pacemaker cell characteristics, density, and cluster size on spontaneous activity.
• Assessed the influence of voltage noise on network behavior.

Main Results:

• Spontaneous activity is non-linearly dependent on the spatial patterns of pacemaker cells.
• Weaker pacemaker cells require higher density and larger clusters to maintain multicellular activity.
• Increased sensitivity to voltage noise was observed in multicellular structures, favoring activity at lower densities but increasing temporal variation.

Conclusions:

• Pacemaker cell characteristics are critical determinants of network spontaneous activity.
• Optimizing pacemaker cell density and clustering is key to overcoming biopacemaker limitations.
• Voltage noise plays a complex role, influencing both the occurrence and stability of spontaneous activity.