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Burst-to-burst variability in respiratory timing, inspiratory-phase spectral activity, and inspiratory neural network complexity in urethane-anesthetized C57BL/6 mice in vivo

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Recent work from our laboratory has focused on identifying burst-to-burst variability in temporal and spectral characteristics for 5-minute time series segments of basal inspiratory motor discharges from urethane-anesthetized adult C57BL/6 mice. The current investigation, as the continuation of our previous studies, examined short- and long-term burst-to-burst variability in temporal and spectral components as well as in complexity, which reflects the central respiratory network dynamics. All measures were assessed by quantitative poincaré plot analyses and the determination of the coefficient of variation.

Original languageEnglish
Title of host publicationIntegration in Respiratory Control
Subtitle of host publicationFrom Genes to Systems
Pages407-412
Number of pages6
DOIs
StatePublished - 2008

Publication series

NameAdvances in Experimental Medicine and Biology
Volume605
ISSN (Print)0065-2598

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