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Complexity synchronization in living matter: a mini review.

Bruce J West^1,2

¹Department of Research and Innovation, North Carolina State University, Raleigh, NC, United States.

Frontiers in Network Physiology

|June 4, 2024

Summary

This summary is machine-generated.

Human physiology exhibits fractal time series, leading to complexity synchronization (CS) between the brain, heart, and lungs. This synchronization is explained by matching multifractal dimensions (MFD) across these organ networks.

Keywords:

ECG and resperation complexity measure complexity synchronization (CS)fractal time multifractal dimension triad of EEG

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Area of Science:

Physiology
Complexity Science
Time Series Analysis

Background:

Fractal time series are increasingly recognized in human physiology.
This ubiquity suggests underlying synchronization phenomena in physiological systems.

Purpose of the Study:

To introduce and explore complexity synchronization (CS) in physiological interactions.
To investigate the role of multifractal dimensions (MFD) in this synchronization.

Main Methods:

Analysis of simultaneously recorded physiological time series (EEG, ECG, Respiration).
Application of scaling statistics and multifractal dimension (MFD) analysis.
Examination of the interaction triad of organ-networks (ONs).

Main Results:

CS was identified in the interaction triad of brain, heart, and lung time series.
Synchronization is linked to the matching of time-dependent multifractal dimensions (MFD).
The findings support the "Law of Multifractal Dimension Synchronization" (LMFDS) hypothesis.

Conclusions:

Complexity synchronization (CS) is a novel form of synchronization in human physiology.
The "Law of Multifractal Dimension Synchronization" (LMFDS) provides a framework for understanding this phenomenon.
Further empirical testing of the LMFDS hypothesis is warranted.