Cardiac autonomic modulation and sleepiness: Physiological consequences of sleep deprivation due to 40 h of prolonged wakefulness

Glos, Martin; Fietze, Ingo; Blau, Alexander; Baumann, Gert; Penzel, Thomas

doi:10.1016/j.physbeh.2013.11.011

Cited by 60 publications

(43 citation statements)

References 24 publications

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“…In addition to these sleep stage associated influences, heart rate and HRV are subject to circadian modulation. They are further influenced by behavior prior to the sleep period, for example by extended wakefulness periods (i.e., sleep deprivation experiment with increased sleep pressure; Glos et al, 2014). Figure 3 show an example illustrating variation in heart rate caused by sleep stage, circadian timing, and by 40 h wakefulness/sleep deprivation in one subject recorded continuously for a period of altogether 56 h.…”

Section: Effects Of Sleep Stages and Sleep Apnea On Heart Rate Variabmentioning

confidence: 99%

Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

et al. 2016

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The cardiac component of cardio-respiratory polysomnography is covered by ECG and heart rate recordings. However, their evaluation is often underrepresented in summarizing reports. As complements to EEG, EOG, and EMG, these signals provide diagnostic information for autonomic nervous activity during sleep. This review presents major methodological developments in sleep research regarding heart rate, ECG, and cardio-respiratory couplings in a chronological (historical) sequence. It presents physiological and pathophysiological insights related to sleep medicine obtained by new technical developments. Recorded nocturnal ECG facilitates conventional heart rate variability (HRV) analysis, studies of cyclical variations of heart rate, and analysis of ECG waveform. In healthy adults, the autonomous nervous system is regulated in totally different ways during wakefulness, slow-wave sleep, and REM sleep. Analysis of beat-to-beat heart-rate variations with statistical methods enables us to estimate sleep stages based on the differences in autonomic nervous system regulation. Furthermore, up to some degree, it is possible to track transitions from wakefulness to sleep by analysis of heart-rate variations. ECG and heart rate analysis allow assessment of selected sleep disorders as well. Sleep disordered breathing can be detected reliably by studying cyclical variation of heart rate combined with respiration-modulated changes in ECG morphology (amplitude of R wave and T wave).

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Section: Effects Of Sleep Stages and Sleep Apnea On Heart Rate Variabmentioning

confidence: 99%

Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

et al. 2016

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“…Despite the spectral overlap, HRVHF is widely used as a marker of parasympathetic function and HRVLF is used as a marker of sympathetic function (Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, 1996). Many studies have used indices of HRV to track the effects of sleep deprivation on humans (Nakano et al, 2000; Zhong et al, 2005; Viola et al, 2008; Pagani et al, 2009; Fogt et al, 2010, 2011; Chua et al, 2012; Glos et al, 2014; Vicente et al, 2016), with different levels of success. These studies suggest that HRV has the potential to track several effects of sleep deprivation.…”

Section: Introductionmentioning

confidence: 99%

Sleep Deprivation in Young and Healthy Subjects Is More Sensitively Identified by Higher Frequencies of Electrodermal Activity than by Skin Conductance Level Evaluated in the Time Domain

et al. 2017

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We analyzed multiple measures of the autonomic nervous system (ANS) based on electrodermal activity (EDA) and heart rate variability (HRV) for young healthy subjects undergoing 24-h sleep deprivation. In this study, we have utilized the error awareness test (EAT) every 2 h (13 runs total), to evaluate the deterioration of performance. EAT consists of trials where the subject is presented words representing colors. Subjects are instructed to press a button (“Go” trials) or withhold the response if the word presented and the color of the word mismatch (“Stroop No-Go” trial), or the screen is repeated (“Repeat No-Go” trials). We measured subjects' (N = 10) reaction time to the “Go” trials, and accuracy to the “Stroop No-Go” and “Repeat No-Go” trials. Simultaneously, changes in EDA and HRV indices were evaluated. Furthermore, the relationship between reactiveness and vigilance measures and indices of sympathetic control based on HRV were analyzed. We found the performance improved to a stable level from 6 through 16 h of deprivation, with a subsequently sustained impairment after 18 h. Indices of higher frequencies of EDA related more to vigilance measures, whereas lower frequencies index (skin conductance leve, SCL) measured the reactiveness of the subject. We conclude that indices of EDA, including those of the higher frequencies, termed TVSymp, EDASymp, and NSSCRs, provide information to better understand the effect of sleep deprivation on subjects' autonomic response and performance.

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“…That is, it is unclear whether lower HF-HRV is a consequence or a predictor of poor sleep in response to stress [48]. This is a crucial issue given that HF-HRV decreases following sleep deprivation [49][50][51]. Longitudinal studies are thus needed to examine whether HF-HRV during a period of lower stress predicts vulnerability to sleep disturbances during periods of higher stress.…”

Section: Introductionmentioning

confidence: 99%

High-frequency heart rate variability during worry predicts stress-related increases in sleep disturbances

et al. 2015

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Cardiac autonomic modulation and sleepiness: Physiological consequences of sleep deprivation due to 40 h of prolonged wakefulness

Cited by 60 publications

References 24 publications

Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

Sleep Deprivation in Young and Healthy Subjects Is More Sensitively Identified by Higher Frequencies of Electrodermal Activity than by Skin Conductance Level Evaluated in the Time Domain

High-frequency heart rate variability during worry predicts stress-related increases in sleep disturbances

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