Nonrandom variability of respiration during sleep in healthy humans
Nonrandom variability of respiration during sleep in healthy humans
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DOI:
10.1093/sleep/28.4.411
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发表时间:
2005-04-01
期刊:
影响因子:
5.6
通讯作者:
Jerrentrup, A
中科院分区:
文献类型:
--
作者:
Rostig, S;Kantelhardt, JW;Jerrentrup, A
Study objectives: Breath-to-breath variability is not purely random but is, instead, characterized by correlations on short- and long-term scales. Shortterm 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.