比较多个器官系统在不同睡眠阶段的长期和短期波动。

Frontiers in network physiology Pub Date : 2022-09-09 eCollection Date: 2022-01-01 DOI:10.3389/fnetp.2022.937130
Johannes Zschocke, Ronny P Bartsch, Martin Glos, Thomas Penzel, Rafael Mikolajczyk, Jan W Kantelhardt
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引用次数: 0

摘要

心血管和心肺调节的一些细节及其在不同睡眠阶段的变化仍不为人知。在本文中,我们比较了不同睡眠阶段心率、脉搏、呼吸频率、脉搏传输时间以及脑电图α波段功率在 6 至 200 秒时间尺度上的波动,以便更好地了解调节途径。所考虑的五个时间序列来自 246 名疑似睡眠障碍受试者的整夜多导睡眠图记录中的心电图、光速图、鼻气流和中央电极脑电图测量值。我们采用了去趋势波动分析,区分了短期(6-16 秒)和长期(50-200 秒)相关性,即分别与副交感神经和交感神经控制相关的波动指数 α 1 和 α 2 的缩放行为。心率(和脉搏)的短期相关性与性别和年龄有关,而它们的长期相关性则表现出众所周知的睡眠阶段依赖性:非快速眼动睡眠期的长期相关性较弱,而快速眼动睡眠期和觉醒期的长期相关性明显。与此相反,被认为主要受血压和动脉僵化影响的脉搏转运时间并没有显示出短期和长期指数之间的差异。这与之前的血压时间序列结果相反,在血压时间序列中,α 1 远远大于α 2,因此质疑脉搏传输时间与血压值之间的关系非常密切。然而,在包括脑电图阿尔法波段功率在内的所有考虑信号中,观察到与睡眠阶段相关的长期波动指数α 2 的差异非常相似。总之,我们发现观察到的波动指数非常稳定,几乎不会受到体重指数、饮酒、吸烟或睡眠障碍的影响。所有观察到的系统的长期波动似乎都受到大脑产生的睡眠阶段模式的调节,因此调节方式相似,而器官系统之间的短期调节则有所不同。任何信号偏离所报告的依赖性,都表明特定器官系统的功能或其控制机制出现了问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long- and short-term fluctuations compared for several organ systems across sleep stages.

Long- and short-term fluctuations compared for several organ systems across sleep stages.

Long- and short-term fluctuations compared for several organ systems across sleep stages.

Long- and short-term fluctuations compared for several organ systems across sleep stages.

Some details of cardiovascular and cardio-respiratory regulation and their changes during different sleep stages remain still unknown. In this paper we compared the fluctuations of heart rate, pulse rate, respiration frequency, and pulse transit times as well as EEG alpha-band power on time scales from 6 to 200 s during different sleep stages in order to better understand regulatory pathways. The five considered time series were derived from ECG, photoplethysmogram, nasal air flow, and central electrode EEG measurements from full-night polysomnography recordings of 246 subjects with suspected sleep disorders. We applied detrended fluctuation analysis, distinguishing between short-term (6-16 s) and long-term (50-200 s) correlations, i.e., scaling behavior characterized by the fluctuation exponents α 1 and α 2 related with parasympathetic and sympathetic control, respectively. While heart rate (and pulse rate) are characterized by sex and age-dependent short-term correlations, their long-term correlations exhibit the well-known sleep stage dependence: weak long-term correlations during non-REM sleep and pronounced long-term correlations during REM sleep and wakefulness. In contrast, pulse transit times, which are believed to be mainly affected by blood pressure and arterial stiffness, do not show differences between short-term and long-term exponents. This is in constrast to previous results for blood pressure time series, where α 1 was much larger than α 2, and therefore questions a very close relation between pulse transit times and blood pressure values. Nevertheless, very similar sleep-stage dependent differences are observed for the long-term fluctuation exponent α 2 in all considered signals including EEG alpha-band power. In conclusion, we found that the observed fluctuation exponents are very robust and hardly modified by body mass index, alcohol consumption, smoking, or sleep disorders. The long-term fluctuations of all observed systems seem to be modulated by patterns following sleep stages generated in the brain and thus regulated in a similar manner, while short-term regulations differ between the organ systems. Deviations from the reported dependence in any of the signals should be indicative of problems in the function of the particular organ system or its control mechanisms.

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