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THE INTEGRATIVE MODEL OF NERVOUS SYSTEM FOR NEW BREATH CONTROL AND REGULATION OF BREATH
Author(s) -
Sun Xingguo
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.lb798
Subject(s) - breathing , neuroscience , peripheral , respiratory center , central nervous system , sensitivity (control systems) , amplifier , respiratory system , computer science , medicine , psychology , anesthesia , telecommunications , engineering , bandwidth (computing) , electronic engineering
Traditional breath control mechanism could not explain why we do breathe one‐by‐one while our mean PaO2, PaCO2 and [H+]a are stable and constant at rest because of we always incorrectly simplified the complex, dynamic and integrative model of central nervous system (CNS). Since APS/EB 2011 (and 2012), we introduced a new theory of respiration‐circulation integrative control and regulation. It requests for the clear understanding of CNS dynamic integrative working model. HYPOTHESIS Similar to the functions of audio‐speaker system, fast peripheral sensors play as microphone, long time delay central censors play as amplifier and breathing system plays as speakers, in which microphone and amplifier have different delay time. MODEL OF CNS lung breath generated O2, CO2 and [H+] oscillations generates the next breath via two fast sensors (carotid and aorta), which are the primary initiator for next breath, and the mean levels of blood O2, CO2 and [H+] at central medullar censors control the gain/sensitivity of breath with longer time delay in collaboration with an integrative respiratory‐circulatory center at CNS. CONCLUSIONS The CNS integrative center integrates signals from all fast (2–3s) peripheral chemical sensors, combine with the sensitivity/gain adjustment by 15–20s ago mean PaO2, PaCO2 and [H+]a via slow (15–20s) medulla chemical sensors, to control and generate next breath.