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 inPhysiological measurement Vol. 45; no. 9; pp. 95004 - 95017
Main Authors Uryga, Agnieszka, Najda, Mikołaj, Berent, Ignacy, Mataczyński, Cyprian, Urbański, Piotr, Kasprowicz, Magdalena, Buchner, Teodor
Format Journal Article
LanguageEnglish
Published England IOP Publishing 01.09.2024
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ISSN0967-3334
1361-6579
1361-6579
DOI10.1088/1361-6579/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.
Bibliography:PMEA-105763.R2
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SourceType-Scholarly Journals-1
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ISSN:0967-3334
1361-6579
1361-6579
DOI:10.1088/1361-6579/ad7778