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Perspectives on Neuroscience
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Published on: July 31, 2007

Complexity and emergent phenomena.

Béla Suki1, Jason H T Bates, Urs Frey

  • 1Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA. bsuki@bu.edu

Comprehensive Physiology
|June 6, 2013
PubMed
Summary
This summary is machine-generated.

Complex biological systems, like the respiratory system, exhibit unpredictable emergent properties governed by power laws. Understanding spatial and temporal complexity offers new insights into lung function and disease treatment.

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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

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Published on: June 15, 2018

Area of Science:

  • Physiology
  • Systems Biology
  • Biophysics

Background:

  • Complex biological systems operate under non-equilibrium conditions.
  • Emergent properties in these systems are often associated with correlated spatial and temporal structures.
  • These properties tend to follow power-law distributions.

Purpose of the Study:

  • To review concepts for treating complex systems using respiratory examples.
  • To introduce tools for characterizing structural variability and temporal fluctuations.
  • To explore the role of complexity science in physiology, biology, and medicine.

Main Methods:

  • Historical overview of complexity science.
  • Introduction to tools for characterizing structural variability and temporal fluctuations.
  • Discussion of percolation theory, multiscale behavior, and modeling.
  • Examination of spatial complexity in airway and parenchymal structures.
  • Review of temporal complexity in airway function.
  • Linking spatial and temporal complexities.

Main Results:

  • Spatial complexity in airways and lung parenchyma impacts gas exchange.
  • Temporal fluctuations in airway function exhibit complexity.
  • Spatial and temporal complexities can be linked through airway opening and lung tissue viscoelasticity.
  • Complexity science offers potential clinical applications in fibrosis treatment, asthma exacerbation prediction, and mechanical ventilation.

Conclusions:

  • Complexity science provides a framework for understanding biological systems.
  • Characterizing spatial and temporal complexity is crucial for respiratory research.
  • This approach has significant implications for future medical treatments and understanding of physiological processes.