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Published on: April 8, 2022
Airway pressure alters wavelet fractal dynamics and short-range dependence of respiratory variability
Luis J Goldman1, Rosario Madero Jarabo, Ramón García Gómez
1Department of Paediatric Anaesthesiology, La Paz Children's University Hospital, Paseo de la Castellana 246, 28046 Madrid, Spain. luisgoldman@terra.es
Insights
Airway pressure changes fractal dynamics in children's breathing patterns. Intermediate pressure levels disrupt normal breathing control, leading to more random, less complex breathing. High and basal pressures amplify non-random processes.
Area of Science:
- Physiology
- Complex Systems Analysis
- Pediatric Respiratory Research
Background:
- Interbreath interval (IBI) variability reflects complex physiological control.
- Fractal dynamics and autocorrelation properties are key to understanding physiological time series.
- The impact of short-term airway pressure (Paw) on breathing control complexity is not fully understood.
Purpose of the Study:
- To quantify autocorrelation and fractal dynamics of IBI variability.
- To investigate the effect of short-term airway pressure (Paw) increases on IBI scaling behavior.
- To determine how different Paw levels modulate breathing control complexity.
Main Methods:
- Collected IBI data from anesthetized children at basal, medium, and high Paw.
- Analyzed autocorrelation functions to assess short-range dependence.
- Utilized wavelet variance to evaluate fractal dynamics and power-law correlations across different scales.
Main Results:
- Autocorrelation was significant at 5 lags (basal Paw) and 3 lags (high Paw), but not at medium Paw.
- Wavelet variance indicated biphasic power-law correlations in IBI.
- Low scale exponents differed from surrogate data at basal and high Paw, indicating deterministic properties, while medium Paw showed white noise (stochastic behavior).
Conclusions:
- Intermediate Paw levels reset breathing control to a stochastic, less complex state.
- Basal and high Paw levels amplify non-random, correlated processes in breathing control.
- Paw-dependent modulation of IBI fractality reveals an inherent multi-scaling structure in integrative breathing control.
Abstract:
We sought to quantify the autocorrelation properties and fractal dynamics of interbreath interval (IBI) variability to see if short-term airway pressure (Paw) increases affected scaling behaviour. Data were collected in anaesthetised children at basal (Ba), medium (Me) and high (Hi) Paw. Consistent with short-range dependence, the autocorrelation function was significant at five (Ba) to three (Hi) lags but lost its significance at Me. Wavelet variance assessed in IBI suggests biphasic power law correlations with scale. In the low scale window for the crossover point, the positive exponents differed from the uncorrelated components in surrogate series at Ba (p<0.007) and Hi (p<0.002), supporting the existence of deterministic, persistent properties. On the contrary, white noise output was captured at Me and an antipersistent, random pattern characterised the high scale window. Intermediate Paw seems to reset the system to a stochastic, less complex behaviour while basal and high Paw would amplify the gain of non-random, correlated processes. This Paw-dependent modulation of IBI fractality and short-term memory indicates that integrative breathing control has an inherent multi-scaling structure.
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