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Complexity Synchronization of Organ Networks.

Bruce J West^1,2, Paolo Grigolini², Scott E Kerick³

¹Department of Research and Innovaton, North Carolina State University, Raleigh, NC 27606, USA.

Entropy (Basel, Switzerland)

|October 28, 2023

Summary

This summary is machine-generated.

This study introduces complexity synchronization, a new scientific concept explaining information exchange in complex dynamic networks. It demonstrates how matching multifractal dimensions between organ networks optimizes information flow, crucial for understanding physiological systems.

Keywords:

complexity complexity synchronization fractal coding organ networks scaling synchronization

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Area of Science:

Integrative biology
Complexity science
Network science

Background:

The increasing complexity of phenomena necessitates transdisciplinary approaches, integrating social, life, and physical sciences.
Complexity theory and complexity synchronization have emerged to explain intricate phenomena in dynamic networks.
Understanding information exchange within and between networks is vital for biological and social systems.

Purpose of the Study:

To investigate complexity synchronization as a principle governing information flow in biological networks.
To quantify relative complexity between interacting organ networks using multifractal dimensions.
To test the hypothesis that complexity synchronization occurs between scaling indices of biological networks.

Main Methods:

Utilizing multifractal dimension analysis on crucial event time series from organ networks.
Quantifying relative complexity by calculating the difference in multifractal dimensions between paired organ networks.
Analyzing scaling properties of empirical datasets from brain, cardiovascular, and respiratory networks.

Main Results:

Information flow between dynamic networks is dictated by their relative complexity levels.
The 'complexity matching effect' describes optimal information transfer when network complexities are equal.
Empirical data from brain, cardiovascular, and respiratory systems support the occurrence of complexity synchronization.

Conclusions:

Complexity synchronization is a fundamental principle for efficient information exchange in biological systems.
Matching the time dependencies of multifractal dimensions signifies complexity synchronization.
This framework provides novel insights into the coordinated functioning of physiological networks.