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Complexity and emergent phenomena.
MedLine Citation:
PMID:  23737210     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Complex biological systems operate under non-equilibrium conditions and exhibit emergent properties associated with correlated spatial and temporal structures. These properties may be individually unpredictable, but tend to be governed by power-law probability distributions and/or correlation. This article reviews the concepts that are invoked in the treatment of complex systems through a wide range of respiratory-related examples. Following a brief historical overview, some of the tools to characterize structural variabilities and temporal fluctuations associated with complex systems are introduced. By invoking the concept of percolation, the notion of multiscale behavior and related modeling issues are discussed. Spatial complexity is then examined in the airway and parenchymal structures with implications for gas exchange followed by a short glimpse of complexity at the cellular and subcellular network levels. Variability and complexity in the time domain are then reviewed in relation to temporal fluctuations in airway function. Next, an attempt is given to link spatial and temporal complexities through examples of airway opening and lung tissue viscoelasticity. Specific examples of possible and more direct clinical implications are also offered through examples of optimal future treatment of fibrosis, exacerbation risk prediction in asthma, and a novel method in mechanical ventilation. Finally, the potential role of the science of complexity in the future of physiology, biology, and medicine is discussed. © 2011 American Physiological Society. Compr Physiol 1:995-1029, 2011.
Authors:
Béla Suki; Jason H T Bates; Urs Frey
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Comprehensive Physiology     Volume:  1     ISSN:  2040-4603     ISO Abbreviation:  Compr Physiol     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2013-06-05     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101574442     Medline TA:  Compr Physiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  995-1029     Citation Subset:  IM    
Affiliation:
Department of Biomedical Engineering, Boston University, Boston, Massachusetts.
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