Journal of Applied Physiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

J Appl Physiol 93: 685-696, 2002. First published April 19, 2002; doi:10.1152/japplphysiol.00951.2001
8750-7587/02 $5.00
This Article
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow All Versions of this Article:
93/2/685    most recent
00951.2001v1
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (4)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by BuSha, B. F.
Right arrow Articles by Stella, M. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by BuSha, B. F.
Right arrow Articles by Stella, M. H.
Vol. 93, Issue 2, 685-696, August 2002

State and chemical drive modulate respiratory variability

Brett F. BuSha and Martha H. Stella

Department of Physiology, Dartmouth Medical School, Lebanon, New Hampshire 03756

The quantification of respiratory variability may provide insight into the integrative control of breathing. To test the hypothesis that sleep and/or increased chemical drive modifies respiratory variability, six male adult Sprague-Dawley rats were instrumented with diaphragm electromyographic (EMG) electrodes and exposed to 0, 2.5, and 5.0% CO2 with a balance of room air during wakefulness and behaviorally determined sleep. Respiratory interval (Ttot), peak diaphragm EMG, and ventilation index (peak diaphragm EMG/Ttot) were calculated for 1,024 sequential breaths. The variability of breathing was quantified with a measurement of signal complexity, the approximate entropy, and two autocorrelation measurements, the autoregressive power spectrum slope and the detrended fluctuation analysis slope. Elevated chemical drive and/or sleep significantly modulated the variability of ventilation index and Ttot. There were also significant interactions between state and CO2 drive in all respiratory parameters. We conclude that state (sleep or wakefulness) and increased chemical drive affect respiratory variability differentially.

nonlinear analysis; control of breathing; sleep


This article has been cited by other articles:


Home page
 Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
M.-N. Fiamma, C. Straus, S. Thibault, M. Wysocki, P. Baconnier, and T. Similowski
Effects of hypercapnia and hypocapnia on ventilatory variability and the chaotic dynamics of ventilatory flow in humans
Am J Physiol Regulatory Integrative Comp Physiol, May 1, 2007; 292(5): R1985 - R1993.
[Abstract] [Full Text] [PDF]

Home page
 J. Physiol.Home page
A. Li and E. Nattie
Catecholamine neurones in rats modulate sleep, breathing, central chemoreception and breathing variability
J. Physiol., January 15, 2006; 570(2): 385 - 396.
[Abstract] [Full Text] [PDF]

Home page
 J. Appl. Physiol.Home page
E. R. Price, F. Han, T. E. Dick, and K. P. Strohl
7-Nitroindazole and posthypoxic ventilatory behavior in the A/J and C57BL/6J mouse strains
J Appl Physiol, September 1, 2003; 95(3): 1097 - 1104.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online