Wiley Interdiscip Rev Syst Biol Med - Integrative approaches for modeling regulation and function of the respiratory system.

Tópicos

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Resumo

Mathematical models have been central to understanding the interaction between neural control and breathing. Models of the entire respiratory system-which comprises the lungs and the neural circuitry that controls their ventilation-have been derived using simplifying assumptions to compartmentalize each component of the system and to define the interactions between components. These full system models often rely-through necessity-on empirically derived relationships or parameters, in addition to physiological values. In parallel with the development of whole respiratory system models are mathematical models that focus on furthering a detailed understanding of the neural control network, or of the several functions that contribute to gas exchange within the lung. These models are biophysically based, and rely on physiological parameters. They include single-unit models for a breathing lung or neural circuit, through to spatially distributed models of ventilation and perfusion, or multicircuit models for neural control. The challenge is to bring together these more recent advances in models of neural control with models of lung function, into a full simulation for the respiratory system that builds upon the more detailed models but remains computationally tractable. This requires first understanding the mathematical models that have been developed for the respiratory system at different levels, and which could be used to study how physiological levels of O2 and CO2 in the blood are maintained.

Resumo Limpo

mathemat model central understand interact neural control breath model entir respiratori systemwhich compris lung neural circuitri control ventilationhav deriv use simplifi assumpt compartment compon system defin interact compon full system model often relythrough necessityon empir deriv relationship paramet addit physiolog valu parallel develop whole respiratori system model mathemat model focus further detail understand neural control network sever function contribut gas exchang within lung model biophys base reli physiolog paramet includ singleunit model breath lung neural circuit spatial distribut model ventil perfus multicircuit model neural control challeng bring togeth recent advanc model neural control model lung function full simul respiratori system build upon detail model remain comput tractabl requir first understand mathemat model develop respiratori system differ level use studi physiolog level o co blood maintain

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