Zschocke Johannes, Bartsch Ronny P, Glos Martin, Penzel Thomas, Mikolajczyk Rafael, Kantelhardt Jan W
Institute of Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Institute of Physics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Front Netw Physiol. 2022 Sep 9;2:937130. doi: 10.3389/fnetp.2022.937130. eCollection 2022.
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 and 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 was much larger than , 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 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.
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然未知。在本文中,我们比较了不同睡眠阶段6至200秒时间尺度上的心率、脉搏率、呼吸频率、脉搏传输时间以及脑电图α波频段功率的波动情况,以便更好地理解调节途径。这五个考虑的时间序列来自246名疑似睡眠障碍患者的全夜多导睡眠图记录中的心电图、光电容积脉搏波、鼻气流和中央电极脑电图测量。我们应用去趋势波动分析,区分短期(6 - 16秒)和长期(50 - 200秒)相关性,即分别由波动指数α和β表征的标度行为,它们分别与副交感神经和交感神经控制相关。虽然心率(和脉搏率)具有性别和年龄依赖性的短期相关性,但其长期相关性呈现出众所周知的睡眠阶段依赖性:非快速眼动睡眠期间长期相关性较弱,快速眼动睡眠和清醒期间长期相关性明显。相比之下,据信主要受血压和动脉僵硬度影响的脉搏传输时间,在短期和长期指数之间没有差异。这与先前血压时间序列的结果形成对比,在先前结果中β远大于α,因此对脉搏传输时间和血压值之间的密切关系提出了质疑。然而,在包括脑电图α波频段功率在内的所有考虑信号中,长期波动指数β都观察到了非常相似的睡眠阶段依赖性差异。总之,我们发现观察到的波动指数非常稳健,几乎不受体重指数、饮酒、吸烟或睡眠障碍的影响。所有观察系统的长期波动似乎都受到大脑中产生的睡眠阶段模式的调节,因此以类似方式进行调节,而短期调节在不同器官系统之间存在差异。任何信号中与报告的依赖性的偏差都应表明特定器官系统或其控制机制的功能存在问题。