Discrepancies in the Time Course of Sleep Stage Dynamics, Electroencephalographic Activity and Heart Rate Variability Over Sleep Cycles in the Adaptation Night in Healthy Young Adults

Shirota, Ai; Kamimura, Mayo; Kishi, Akifumi; Adachi, Hiroyoshi; Taniike, Masako; Kato, Takafumi

doi:10.3389/fphys.2021.623401

Cited by 11 publications

(19 citation statements)

References 61 publications

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“…Overall, our sleep architecture findings showed that, during the first night spent in the laboratory, sleep was less efficient, more fragmented (i.e., higher WASO), and shallower (i.e., reduced N3 NREM sleep). Previous studies reported a lower sleep efficiency [ 11 , 20 , 21 , 22 , 23 ] and higher WASO [ 20 , 21 , 23 ] during the first night’s sleep, which is consistent with our results. Of note, these effects did not survive multiple comparisons; however, we still believe that these differences are relevant and that they should be considered when performing across conditions and/or across group comparisons in sleep architecture parameters.…”

Section: Discussionsupporting

confidence: 93%

“…Another important finding of the present study was that, during the first night of sleep, the power spectra of the higher frequency bands (i.e., sigma, beta, and gamma) were enhanced when compared to the second sleep night. A higher level of activity in these fast frequency bands, which are more commonly observed during wakefulness, may reflect hyperarousability and/or increased alertness during sleep in order to ensure safety when sleeping in a new environment [ 21 ]. Indeed, during NREM sleep, both neuronal firing and gamma power tend to decrease, as does the ability to process sensory information [ 24 , 25 ].…”

Section: Discussionmentioning

confidence: 99%

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Examining First Night Effect on Sleep Parameters with hd-EEG in Healthy Individuals

et al. 2022

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Difficulty sleeping in a novel environment is a common phenomenon that is often described as the first night effect (FNE). Previous works have found FNE on sleep architecture and sleep power spectra parameters, especially during non-rapid eye movement (NREM) sleep. However, the impact of FNE on sleep parameters, including local differences in electroencephalographic (EEG) activity across nights, has not been systematically assessed. Here, we performed high-density EEG sleep recordings on 27 healthy individuals on two nights and examined differences in sleep architecture, NREM (stages 2 and 3) EEG power spectra, and NREM power topography across nights. We found higher wakefulness after sleep onset (WASO), reduced sleep efficiency, and less deep NREM sleep (stage 3), along with increased high-frequency NREM EEG power during the first night of sleep, corresponding to small to medium effect sizes (Cohen’s d ≤ 0.5). Furthermore, study individuals showed significantly lower slow-wave activity in right frontal/prefrontal regions as well as higher sigma and beta activities in medial and left frontal/prefrontal areas, yielding medium to large effect sizes (Cohen’s d ≥ 0.5). Altogether, these findings suggest the FNE is characterized by less efficient, more fragmented, shallower sleep that tends to affect especially certain brain regions. The magnitude and specificity of these effects should be considered when designing sleep studies aiming to compare across night effects.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Examining First Night Effect on Sleep Parameters with hd-EEG in Healthy Individuals

et al. 2022

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“…Third, PSG was performed for one night. Previous studies have shown that there is a first-night effects on the sleep architecture ( 42 ) as well as the occurrence of RMMA ( 28 ): RMMA was significantly lower in the first night than the second night. Therefore, the RMMA in this study can be underestimated due to the first night effect.…”

Section: Study Limitationsmentioning

confidence: 98%

“…Since OSA patients with SB had a lower AHI and ArTH, RMMA may be more responsive to mild rather than severe airway obstruction (i.e., less oxygen desaturation and respiratory flow limitations) (19). Transient arousal events related to NREM-REM sleep cycles were found to be important for the genesis of RMMA (29,41). Therefore, RMMA may be more responsive to endogenously generated rather than respiratory-induced transient arousal events.…”

Section: A B Cmentioning

confidence: 99%

Relationships between respiratory and oromotor events differ between motor phenotypes in patients with obstructive sleep apnea

et al. 2023

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PurposeThe present study investigated the relationship between sleep bruxism (SB) and obstructive sleep apnea (OSA) in relation to the sleep architecture.MethodsWe conducted a cross-sectional study. Polysomnographic recordings were performed on 36 patients. Sleep, respiratory, and oromotor variables, such as rhythmic masticatory muscle activity (RMMA) and non-specific masticatory muscle activity (NSMA), were compared between OSA patients with or without SB. A correlation analysis of the frequency of respiratory and oromotor events in NREM and REM sleep was performed. The frequency of oromotor events following respiratory events was also assessed.ResultsThe proportion of REM sleep was higher in OSA patients with SB than in those without SB (p = 0.02). The apnea-hypopnea index (AHI) did not significantly differ between the two groups; however, AHI was approximately 8-fold lower during REM sleep in OSA patients with SB (p = 0.01) and the arousal threshold was also lower (p = 0.04). Although the RMMA index was higher in OSA patients with than in those without SB (p < 0.01), the NSMA index did not significantly differ. The percentage of RMMA following respiratory events was significantly higher in OSA patients with than in those without SB, whereas that of NSMA did not significantly differ. The frequency of oromotor events throughout the whole night positively correlated with AHI. However, regardless of the sleep state, AHI did not correlate with the RMMA index, but positively correlated with the NSMA index.ConclusionIn consideration of the limitations of the present study, the results obtained indicate that OSA patients with SB have a unique phenotype of OSA and also emphasize the distinct relationship of respiratory events with RMMA and NSMA.

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“…First, autonomic adaptation processes within the central nervous system are significantly vulnerable when subjects sleep in a sleep laboratory [ 25 ]. The test results in the laboratory may not be representative of the state of everyday life.…”

Section: Sleep Monitoringmentioning

confidence: 99%

Recent Progress in Long-Term Sleep Monitoring Technology

Yin

Ren

2023

Biosensors

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Sleep is an essential physiological activity, accounting for about one-third of our lives, which significantly impacts our memory, mood, health, and children’s growth. Especially after the COVID-19 epidemic, sleep health issues have attracted more attention. In recent years, with the development of wearable electronic devices, there have been more and more studies, products, or solutions related to sleep monitoring. Many mature technologies, such as polysomnography, have been applied to clinical practice. However, it is urgent to develop wearable or non-contacting electronic devices suitable for household continuous sleep monitoring. This paper first introduces the basic knowledge of sleep and the significance of sleep monitoring. Then, according to the types of physiological signals monitored, this paper describes the research progress of bioelectrical signals, biomechanical signals, and biochemical signals used for sleep monitoring. However, it is not ideal to monitor the sleep quality for the whole night based on only one signal. Therefore, this paper reviews the research on multi-signal monitoring and introduces systematic sleep monitoring schemes. Finally, a conclusion and discussion of sleep monitoring are presented to propose potential future directions and prospects for sleep monitoring.

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Discrepancies in the Time Course of Sleep Stage Dynamics, Electroencephalographic Activity and Heart Rate Variability Over Sleep Cycles in the Adaptation Night in Healthy Young Adults

Cited by 11 publications

References 61 publications

Examining First Night Effect on Sleep Parameters with hd-EEG in Healthy Individuals

Examining First Night Effect on Sleep Parameters with hd-EEG in Healthy Individuals

Relationships between respiratory and oromotor events differ between motor phenotypes in patients with obstructive sleep apnea

Recent Progress in Long-Term Sleep Monitoring Technology

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