STUDY OBJECTIVES: Breath-to-breath variability is not purely random but is, instead, characterized by correlations on short- and long-term scales. Short-term correlations might reflect intact metabolic-control mechanisms. To investigate whether the higher variability of breathing during rapid eye movement (REM) compared to non-REM (NREM) sleep is of random or nonrandom nature--reflecting an altered respiratory control--short-term and long-term correlations of respiratory drive and timing were determined. DESIGN: A full-night polysomnogram with a pneumotachograph attached to a full-face mask was performed. For each breath during NREM and REM sleep, respiratory components were analyzed based on the quantitative airflow. SETTING: Data collection took place in the sleep laboratory. PARTICIPANTS: Twenty-nine healthy subjects (age, 25.8 +/- 3.1 years). MEASUREMENTS AND RESULTS: Long-term correlations are practically absent in respiratory timing and drive components during NREM sleep, whereas they are present during REM sleep. Short-term correlations are present in respiratory drive, tidal volume, and minute ventilation during both NREM and REM sleep. In all timing components, additional short-term correlations are absent. CONCLUSION: We conclude that from NREM to REM sleep, short-term regulation of respiratory drive remains strongly metabolically controlled and clearly different from the short-term regulation of the rhythm-generating function. Regulation of respiratory timing and drive during REM sleep is characterized by additional long-term correlations. We speculate that this is the result of cortical influences during phasic REM sleep. Thus, the variability of breathing during REM sleep contains a nonrandom component, such that breathing components remain dependent upon each other even with large time lags between components.
STUDY OBJECTIVES: Breath-to-breath variability is not purely random but is, instead, characterized by correlations on short- and long-term scales. Short-term correlations might reflect intact metabolic-control mechanisms. To investigate whether the higher variability of breathing during rapid eye movement (REM) compared to non-REM (NREM) sleep is of random or nonrandom nature--reflecting an altered respiratory control--short-term and long-term correlations of respiratory drive and timing were determined. DESIGN: A full-night polysomnogram with a pneumotachograph attached to a full-face mask was performed. For each breath during NREM and REM sleep, respiratory components were analyzed based on the quantitative airflow. SETTING: Data collection took place in the sleep laboratory. PARTICIPANTS: Twenty-nine healthy subjects (age, 25.8 +/- 3.1 years). MEASUREMENTS AND RESULTS: Long-term correlations are practically absent in respiratory timing and drive components during NREM sleep, whereas they are present during REM sleep. Short-term correlations are present in respiratory drive, tidal volume, and minute ventilation during both NREM and REM sleep. In all timing components, additional short-term correlations are absent. CONCLUSION: We conclude that from NREM to REM sleep, short-term regulation of respiratory drive remains strongly metabolically controlled and clearly different from the short-term regulation of the rhythm-generating function. Regulation of respiratory timing and drive during REM sleep is characterized by additional long-term correlations. We speculate that this is the result of cortical influences during phasic REM sleep. Thus, the variability of breathing during REM sleep contains a nonrandom component, such that breathing components remain dependent upon each other even with large time lags between components.
Authors: Ian C Wenker; Chikara Abe; Kenneth E Viar; Daniel S Stornetta; Ruth L Stornetta; Patrice G Guyenet Journal: J Neurosci Date: 2017-03-31 Impact factor: 6.167
Authors: Scott A Sands; Yoseph Mebrate; Bradley A Edwards; Shamim Nemati; Charlotte H Manisty; Akshay S Desai; Andrew Wellman; Keith Willson; Darrel P Francis; James P Butler; Atul Malhotra Journal: Am J Respir Crit Care Med Date: 2017-01-15 Impact factor: 21.405