The impact of controlled breathing on autonomic nervous system modulation: analysis using phase-rectified signal averaging, entropy and heart rate variability
Objective. The present study investigated how breathing stimuli affect both non-linear and linear metrics of the autonomic nervous system (ANS). Approach. The analysed dataset consisted of 70 young, healthy volunteers, in whom arterial blood pressure (ABP) was measured noninvasively during 5 min ses...
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Published in | Physiological measurement Vol. 45; no. 9; pp. 95004 - 95017 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
IOP Publishing
01.09.2024
|
Subjects | |
Online Access | Get full text |
ISSN | 0967-3334 1361-6579 1361-6579 |
DOI | 10.1088/1361-6579/ad7778 |
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Summary: | Objective.
The present study investigated how breathing stimuli affect both non-linear and linear metrics of the autonomic nervous system (ANS).
Approach.
The analysed dataset consisted of 70 young, healthy volunteers, in whom arterial blood pressure (ABP) was measured noninvasively during 5 min sessions of controlled breathing at three different frequencies: 6, 10 and 15 breaths min
−1
. CO
2
concentration and respiratory rate were continuously monitored throughout the controlled breathing sessions. The ANS was characterized using non-linear methods, including phase-rectified signal averaging (PRSA) for estimating heart acceleration and deceleration capacity (AC, DC), multiscale entropy, approximate entropy, sample entropy, and fuzzy entropy, as well as time and frequency-domain measures (low frequency, LF; high-frequency, HF; total power, TP) of heart rate variability (HRV).
Main results.
Higher breathing rates resulted in a significant decrease in end-tidal CO
2
concentration (
p
< 0.001), accompanied by increases in both ABP (
p <
0.001) and heart rate (HR,
p <
0.001). A strong, linear decline in AC and DC (
p <
0.001 for both) was observed with increasing breathing rate. All entropy metrics increased with breathing frequency (
p <
0.001). In the time-domain, HRV metrics significantly decreased with breathing frequency (
p <
0.01 for all). In the frequency-domain, HRV LF and HRV HF decreased (
p
= 0.038 and
p
= 0.040, respectively), although these changes were modest. There was no significant change in HRV TP with breathing frequencies.
Significance.
Alterations in CO
2
levels, a potent chemoreceptor trigger, and changes in HR most likely modulate ANS metrics. Non-linear PRSA and entropy appear to be more sensitive to breathing stimuli compared to frequency-dependent HRV metrics. Further research involving a larger cohort of healthy subjects is needed to validate our observations. |
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Bibliography: | PMEA-105763.R2 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0967-3334 1361-6579 1361-6579 |
DOI: | 10.1088/1361-6579/ad7778 |