Jiang, Y;
Costello, JT;
Williams, TB;
Panyapiean, N;
Bhogal, A;
Tipton, MJ;
Corbett, J;
(2020)
A network physiology approach to oxygen saturation variability during normobaric hypoxia.
Experimental Physiology
10.1113/EP088755.
(In press).
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Abstract
Peripheral capillary oxygen saturation (urn:x-wiley:09580670:media:eph12815:eph12815-math-0005) exhibits a complex pattern of fluctuations during hypoxia. The physiological interpretation of urn:x-wiley:09580670:media:eph12815:eph12815-math-0006 variability is not well understood. In this study, we tested the hypothesis that urn:x-wiley:09580670:media:eph12815:eph12815-math-0007 fluctuation carries information about integrated cardio‐respiratory control in healthy individuals using a network physiology approach. We explored the use of transfer entropy in order to compute the flow of information between cardio‐respiratory signals during hypoxia. Twelve healthy males (mean (SD) age 22 (4) years) were exposed to four simulated environments (fraction of inspired oxygen (urn:x-wiley:09580670:media:eph12815:eph12815-math-0008): 0.12, 0.145, 0.17, and 0.2093) for 45 min, in a single blind randomized controlled design. The flow of information between different physiological parameters (urn:x-wiley:09580670:media:eph12815:eph12815-math-0009, respiratory frequency, tidal volume, minute ventilation, heart rate, end‐tidal pressure of O2 and CO2) were analysed using transfer entropy. Normobaric hypoxia was associated with a significant increase in entropy of the urn:x-wiley:09580670:media:eph12815:eph12815-math-0010 time series. The transfer entropy analysis showed that, particularly at urn:x-wiley:09580670:media:eph12815:eph12815-math-0011 0.145 and 0.12, the flow of information between urn:x-wiley:09580670:media:eph12815:eph12815-math-0012 and other physiological variables exhibits a bidirectional relationship. While reciprocal interactions were observed between different cardio‐respiratory parameters during hypoxia, urn:x-wiley:09580670:media:eph12815:eph12815-math-0013 remained the main hub of this network. urn:x-wiley:09580670:media:eph12815:eph12815-math-0014 fluctuations during graded hypoxia exposure carry information about cardio‐respiratory control. Therefore, urn:x-wiley:09580670:media:eph12815:eph12815-math-0015 entropy analysis has the potential for non‐invasive assessment of the functional connectivity of respiratory control system in various healthcare settings.
| Type: | Article |
|---|---|
| Title: | A network physiology approach to oxygen saturation variability during normobaric hypoxia |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1113/EP088755 |
| Publisher version: | https://doi.org/10.1113/EP088755 |
| Language: | English |
| Additional information: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Education |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10105118 |
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