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fast_asleep/rsta20140093_6_0.txt | Sleep stages occur in a systematic manner during night sleep. First, a short period of wakefulness (W) is observed with eyes closed before the subject falls asleep. This may last for 5–20 min in healthy subjects. Then follows a short period of N1 as a transitional state and then stage N2, which may be longer. Stage N2 ... |
fast_asleep/Cellstatetransitions_35_15.txt | E., Siggia, E. D., Rand, D. A. and Briscoe, J. (2021). Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions. Cell Syst. [Epub ahead of print]. https://doi.org/10.1016/j.cels.2021.08.013
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Sato, T., Vries, R. G., Snippert, H. J., van de We... |
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JOURNAL ARTICLE
Sleep Stage Transition Dynamics Reveal Specific Stage 2 Vulnerability in Insomnia
Yishul Wei, MSc, Michele A Colombo, MSc, Jennifer R Ramautar, PhD, Tessa F Blanke... |
fast_asleep/full_63_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
fast_asleep/rsta20140093_11_0.txt | — total sleep time=all sleep stages together except wake times, and |
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fast_asleep/Cellstatetransitions_35_17.txt | Agley, C. C., Thompson, A. J., Gonzalez, G. A. et al. (2019). Niche stiffness underlies the ageing of central nervous system progenitor cells. Nature 573, 130-134. https://doi.org/10.1038/s41586-019-1484-9
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Shemer, A., Grozovski, J., Tay, T. L., Tao, J., Volaski, A., Süß, P., Ardura-Fabregat, A.... |
fast_asleep/full_173_0.txt | Luigi De Gennaro, Sapienza University of Rome, Italy
Raffaele Manni, Fondazione Casimiro Mondino National Neurological Institute (IRCCS), Italy
Copyright © 2021 Shirota, Kamimura, Kishi, Adachi, Taniike and Kato. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC ... |
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fast_asleep/full_9_0.txt | Previous studies demonstrated that the progression and stability of sleep can be altered when one sleeps in an unfamiliar environment. A typical example is the first-night effect, a phenomenon that is commonly observed in the first night of polysomnographic recordings for the purpose of adaptation to sleep laboratory s... |
fast_asleep/Cellstatetransitions_35_2.txt | ref
Mulas, C., Kalkan, T. and Smith, A. (2017). NODAL secures pluripotency upon embryonic stem cell progression from the ground state. Stem Cell Rep. 9, 77-91. https://doi.org/10.1016/j.stemcr.2017.05.033
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Nava, M. M., Miroshnikova, Y. A., Biggs, L. C., Whitefield, D. B., Metge, F., Boucas, J., Vi... |
fast_asleep/Cellstatetransitions_35_18.txt | Gross-Vered, M., Kim, J.-S., David, E. et al. (2018). Engrafted parenchymal brain macrophages differ from microglia in transcriptome, chromatin landscape and response to challenge. Nat. Commun. 9, 5206. https://doi.org/10.1038/s41467-018-07548-5
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fast_asleep/full_36_4.txt | modulate the reactivity of cortical and autonomic activity in the adaptation night. The results also suggest the possibilities that the autonomic nervous system has lower adaptability than cortical system. |
fast_asleep/3926054_43_0.txt | The current findings suggest that zooming in on the microstructure and phasic components of stage N2 (ie, spindles and K-complexes) may be particularly helpful in elucidating the brain mechanisms of ID. Although previous investigations into these transient components in ID have shown mixed results,49–52 these studies h... |
fast_asleep/rsta20140093_45_1.txt | we see no significant increase in transitions N1–W. This reflects that young subjects with sleep disorders do not wake up more often compared with normal subjects without any sleep disorder. |
fast_asleep/full_124_0.txt | Oswald, I., Taylor, A. M., and Treisman, M. (1960). Discriminative responses to stimulation during human sleep. Brain 83, 440–453. doi: 10.1093/brain/83.3.440 |
fast_asleep/full_89_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
fast_asleep/full_32_1.txt | 031, partial η2 = 0.085]. Post hoc comparisons between the two nights revealed that RR intervals and HF amplitude were significantly lower over the four sleep cycles in the adaptation night than in the experimental night (both p < 0.05). There were no significant differences between the two nights in RR intervals or HF... |
fast_asleep/full_12_2.txt | and -off were the same between the two nights. After waking up, participants answered the questionnaire on the quality of sleep; they were asked about sleep latency, number of periods of wakefulness after sleep onset, total sleep time and, sleep quality score (from 1 point: “bad” to 5 points: “good”). |
fast_asleep/full_102_0.txt | Lavigne, G., Brousseau, M., Kato, T., Mayer, P., Manzini, C., Guitard, F., et al. (2004). Experimental pain perception remains equally active over all sleep stages. Pain 110, 646–655. doi: 10.1016/J.PAIN.2004.05.003 |
fast_asleep/full_13_2.txt | events were scored according to the American Academy of Sleep Medicine criteria version 2.1 (Berry et al., 2014). The apnea–hypopnea index (AHI) was calculated as the sum of all apneas and hypopneas with 3% O2 desaturation and/or EEG arousal divided by the total sleep time. The AHI exclusion criteria followed the AASM... |
fast_asleep/full_22_0.txt | Table 1
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Table 1. Sleep variables in adaptation and experimental nights. |
fast_asleep/full_21_1.txt | , the adaptation night was characterized by a longer time in WASO (wakefulness after sleep onset) and stage N1 (both p < 0.01), and a shorter time in stage REM (p < 0.001) than in the experimental night. The number of REM sleep periods increased from the adaptation night to the experimental night (p < 0.05). |
fast_asleep/full_165_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
fast_asleep/full_16_0.txt | The continuity of sleep (regardless of sleep stage) and each sleep stage (N1, N2, N3, REM, and wake) were analyzed with the rules in the previous study (Kishi et al., 2017). A sleep run began with a transition from Wake to any stage of sleep and continued until Wake occurred. Separate from the sleep run, a run of each ... |
fast_asleep/rsta20140093_31_0.txt | The original time series consisting of symbols st∈S,t∈[1,n],S={c1,…,cm} is in the first step transformed into m binary time series Inline Formula |
fast_asleep/full_2_0.txt | View article impact
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Alessandro Silvani
Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
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Luigi De Gennaro
Sapienza University of Rome, Italy
Raffaele Manni
Raffaele Ma... |
fast_asleep/full_31_1.txt | low beta, 15–23 Hz; high beta, 23–32 Hz. The numbers of subjects analyzed were the same as in Figure 1. |
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fast_asleep/Cellstatetransitions_18_0.txt | A key question that arose during the workshop related to the identification of autonomous or non-autonomous cell states. This is a complex question that might have as many answers as developmental contexts and cell types. A typical example of this complexity is found in developing vertebrate somites, in which the so-ca... |
fast_asleep/rsta20140093_27_0.txt | Figure 3.
Figure 3. Distributions of joint entropies H of one-step transitions (equation (3.1)) for (a) four groups of subjects (compare transition matrices in figure 2), (b) subjects with and without sleep disorder and (c) old and young subjects. (Online version in colour.) |
fast_asleep/Cellstatetransitions_32_1.txt | issue of how cells establish and rewire their states. |
fast_asleep/full_171_0.txt | Edited by: |
fast_asleep/rsta20140093_16_1.txt | considered here already provide a natural symbolic representation (table 1) determined by human sleep staging based on the original EEG, EOG and EMG recordings. |
fast_asleep/full_15_0.txt | Sleep-Stage Transition
The number of sleep-stage transitions per night was measured for each participant, and the rate of stage transitions (%) was calculated by dividing the number of sleep transitions per night by the total number of epochs. The same method was used to calculate the percentage of sleep stages for eac... |
fast_asleep/full_8_3.txt | ., 2003). Therefore, the time-course changes in sleep variables over sleep cycles represent the progression of sleep processes in the integration of cortical and autonomic homeostatic sleep regulation overnight (Hayashi et al., 2015). |
fast_asleep/full_123_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
fast_asleep/full_21_0.txt | Sleep Variables for the Entire Night
Sleep variables measured during the adaptation and experimental nights are shown in Table 1. Although the time in bed did not significantly differ between the two nights, the total sleep time was shorter (p < 0.01) and sleep efficiency was lower (p < 0.001) in the adaptation night t... |
fast_asleep/3926054_23_1.txt |
SOL, minutes 20.9 ± 21.7 17.3 ± 17.0 905 –0.51 .61
SE, % 89.7 ± 7.2 85.5 ± 9.2 671 –2.46 .01
NWake 18.5 ± 10.0 23.7 ± 11.8 1254.5 2.41 .02
SSI, 1/hour 10.2 ± 2.8 11.9 ± 3.3 1248 2 |
fast_asleep/full_176_0.txt | Footer |
fast_asleep/rsta20140093_42_1.txt | to choose relevant links for pruning the graph. |
fast_asleep/Cellstatetransitions_11_1.txt | levels remains challenging. For example, it would be very beneficial to merge functional and molecular descriptions of cell state. However, most molecular/high throughput sequencing techniques destroy cells. Thus, it is generally not possible to simultaneously measure the transcriptional state of a cell as well as its... |
fast_asleep/3926054_31_7.txt | [0.912, 1.865] .15 1.276; [1.048, 1.555] .02
Mean stage N2 bout duration, minutes 0.793; [0.650, 0.968] .02 0.874; [0.766, 0.999] .05
CI = confidence interval; NWake = number of awakenings; OR = odds ratio; SE = sleep efficiency; SSI = stage shift index; TST = total sleep time; WASO = wake after |
fast_asleep/full_105_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
fast_asleep/full_26_1.txt | ). Normalized transition probabilities from N2 to N1 (N2 → N1) were significantly higher in the adaptation night than in the experimental night (p < 0.01), whereas those from N2 to N3 (N2 → N3) were lower in the adaptation night than in the experimental night (p < 0.01). No inter-night differences were found in transit... |
fast_asleep/3926054_42_0.txt | Our findings with respect to the conventional sleep parameters are largely congruent with a recent meta-analysis of PSG studies on ID.10 Both the meta-analysis and the current study found reduced TST, reduced SE, increased WASO, an increased NWake, and less SWS in people with ID as compared to controls. The meta-analys... |
fast_asleep/full_17_0.txt | Cortical and Cardiac Activities
During the night, continuous EEG (C4 referenced to the left ear) was digitized at 200 Hz and stored for off-line analysis. Prior to the analysis, epochs with artifacts were visually identified and removed. Spectral power was calculated using the fast Fourier transform (FFT) algorithm (Bi... |
fast_asleep/3926054_21_0.txt | Sleep stage data from the Freiburg validation sample were first automatically preprocessed by (1) merging stages 3 and 4 according to the Rechtschaffen–Kales criteria into a single stage to approximate stage N3 according to the AASM criteria; and (2) converting epochs scored as movement time according to the Rechtschaf... |
fast_asleep/3926054_31_8.txt | sleep onset. |
fast_asleep/3926054_39_1.txt | a study comparing the Rechtschaffen–Kales and AASM scoring criteria,38 it was found that the most pronounced differences result from Rule 5.C1.b of the AASM manual, which states that stage N2 terminates upon arousals. This rule led to decreases in stage N2, increases in stage N1, and increases in the number of stage s... |
fast_asleep/rsta20140093_24_0.txt | Figure 2.
Figure 2. Average transition probabilities (colour coded) between sleep stages awake (W), non-REM 1 (N1), non-REM 2 (N2), non-REM 3 (N3), non-REM 4 (N4) and REM (R) for four groups of subjects: Young/Normal, Old/Normal, Young/Sleep Disorder, Old/Sleep Disorder. The numbers in the cells give the transition pro... |
fast_asleep/full_14_1.txt | the last REM sleep even if the sleep stage immediately before the end of the PSG recording was not REM sleep. Sleep cycles were considered to have been completed only if another sleep stage was continued more than 10 min from the last REM sleep and the number of complete cycles was measured accordingly. The number of ... |
fast_asleep/rsta20140093_58_1.txt | effect of scoring variability but due to physiology with more and less high amplitude delta waves. |
fast_asleep/full_35_1.txt | 2004; Moser et al., 2010), although sleep architecture was of good quality for the two nights in this study population (e.g., sleep efficiency > 90%). In the adaptation night, the decreased stability of sleep stages can influence the sleep process. However, cycle-by-cycle analysis revealed that the first sleep cycle w... |
fast_asleep/rsta20140093_43_1.txt | an increase of transitions between light sleep stages N1 and N2 and between N1 and W. On the other hand, for elderly subjects fewer transitions occur between deep-sleep stages N3 and N4, and between N2 and R. There is no significant difference of transitions N2–N3 between young and old subjects. Elderly subjects wake ... |
fast_asleep/Cellstatetransitions_36_2.txt | (2020). Lineage tracing meets single-cell omics: opportunities and challenges. Nat. Rev. Genet. 21, 410-427. https://doi.org/10.1038/s41576-020-0223-2
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Waisman, A., Vazquez Echegaray, C., Solari, C., Cosentino, M. S., Martyn, I., Deglincerti, A., Ozair, M. Z., Ruzo, A., Barañao, L., Mir |
fast_asleep/full_98_0.txt | Kishi, A., Yasuda, H., Matsumoto, T., Inami, Y., Horiguchi, J., Tamaki, M., et al. (2011). NREM sleep stage transitions control ultradian REM sleep rhythm. Sleep 34, 1423–1432. doi: 10.5665/SLEEP.1292 |
fast_asleep/full_23_0.txt | The percentage of transitions per night (%) was significantly higher in the adaptation night than in the experimental night (p < 0.001, Table 1). The arousal index was significantly higher in the adaptation night than in the experimental night (p < 0.001), but the number of awakenings did not significantly differ betwe... |
fast_asleep/rsta20140093_71_0.txt | Citations and impact
26CITATIONS26 total citations on Dimensions. |
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fast_asleep/3926054_42_2.txt | for the Amsterdam sample). REM sleep deficits were significant when the meta-analysis included also studies which selected participants with both self-reported and PSG criteria.10 These studies were nevertheless likely to select patient groups representing only a specific phenotype of ID.48 |
fast_asleep/3926054_51_0.txt | Google ScholarCrossrefPubMedWorldCat
51. Forget D Morin CM Bastien CH. The role of the spontaneous and evoked K-complex in good-sleeper controls and in individuals with insomnia. Sleep. 2011; 34(9): 1251–1260.
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52. Normand MP St-Hilaire P Bastien CH. Sleep spindles characteristics in insomni... |
fast_asleep/3926054_37_0.txt | Finally, we also evaluated in the Freiburg validation sample whether the novel sleep stage dynamic features added discriminating power to the information available in all possible combinations of the conventional sleep parameters. We found that three transition probabilities significantly improved the model fit on top ... |
fast_asleep/full_47_0.txt | CrossRef Full Text | Google Scholar |
fast_asleep/full_77_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
fast_asleep/rsta20140093_57_2.txt | conjecture that more specific details and differences between ageing and sleep disorder may be found when studying multistep transitions. Investigations of two-step transition patterns (figure 8) clearly indicate valuable information contained in the corresponding symbolic sequence of multistep sleep transitions. Mark... |
fast_asleep/rsta20140093_64_0.txt | Display Formula
A 1
and
Display Formula
A 2
(b) Haar matrix |
fast_asleep/Ventrolateral_preoptic_nucleus_3_3.txt | , including ethanol, chloral hydrate, propofol and gas anesthetics such as isoflurane, at sedative doses increase the activity of the VLPO neurons in mice. This finding suggests that at relatively low sedative doses, these medications may have a common mechanism of action, which includes potentiating the firing of VLPO... |
fast_asleep/full_80_0.txt | Hayashi, Y., Kashiwagi, M., Yasuda, K., Ando, R., Kanuka, M., Sakai, K., et al. (2015). Cells of a common developmental origin regulate REM/non-REM sleep and wakefulness in mice. Science 350, 957–961. doi: 10.1126/science.aad1023 |
fast_asleep/3926054_20_2.txt | ales criteria,36 while the Amsterdam data were scored according to the AASM manual.23 |
fast_asleep/rsta20140093_21_1.txt | subjects and subjects with sleep disorder, respectively. (Online version in colour.) |
fast_asleep/full_84_0.txt | Israel, B., Buysse, D. J., Krafty, R. T., Begley, A., Miewald, J., and Hall, M. (2012). Short-term stability of sleep and heart rate variability in good sleepers and patients with insomnia: for some measures, one night is enough. Sleep 35, 1285–1291. doi: 10.5665/sleep.2088 |
fast_asleep/full_8_0.txt | Introduction
The sleep architecture throughout the night is continuous, but heterogeneous, and characterized by cyclic fluctuations. Alternating non-rapid eye movement (NREM) sleep and rapid eye movement (REM) sleep constitute a series of sleep cycles, with the latter being related to the sleep cycle configuration (Vya... |
fast_asleep/Cellstatetransitions_19_2.txt | . Despite their different origins, both CNS- and PNS-resident Schwann cells share many defining characteristics (Chen et al., 2021 preprint). The comparison between microglia (brain-resident macrophages) and tissue-resident macrophages was also discussed. Despite sharing many molecular characteristics, it is still deba... |
fast_asleep/full_34_0.txt | Discussion
The present study investigated the process to adaptation to sleeping in a sleep laboratory in healthy young adults. The objective and subjective sleep quality was lower in the adaptation night than in the experimental night and was characterized by low sleep continuity and high sleep-stage transitions in ass... |
fast_asleep/rsta20140093_22_0.txt | Download figureOpen in new tabDownload PowerPoint
3. One-step transitions
(a) Transition probabilities and transition entropies
In this section, we analyse the one-step transition probabilities between sleep stages. These probabilities are computed as the number of transitions between one source and one destination sta... |
fast_asleep/full_18_2.txt | , frequency spectra in RR interval data were estimated for the range between zero and 0.40 Hz and were divided into three components depending on their central frequencies, i.e., the spectral domain with a central frequency of less than 0.04 Hz, between 0.04 and 0.15 Hz, and greater than 0.15 Hz but less than 0.40 Hz. ... |
fast_asleep/3926054_4_1.txt | existing medical conditions or to environmental or time constraints on sleep.1 Current clinical or research diagnostic criteria for ID are based solely on subjective reports.2–4 Although different dysregulated patterns of objective, polysomnographically assessed sleep have been hypothesized over the past decades to und... |
fast_asleep/3926054_27_2.txt | 08, Z = 3.70, p =.004) and from stage N2 to stage W (Wilcoxon W = 1276.5, Z = 2.59, p =.096). Gray arrows indicate transitions with no significant differences in transition probabilities between the groups (.11 < p <.98). The following transitions did not occur in at least half of the participants in each group and are... |
fast_asleep/full_81_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
fast_asleep/full_157_0.txt | CrossRef Full Text | Google Scholar |
fast_asleep/full_32_0.txt | The mean HF band and RR intervals of the first four sleep cycles calculated on the adaptation night and experimental night are shown in Figure 3. In the NREM sleep period, the two-way repeated-measures ANOVA (nights: two levels × sleep cycle: four levels) revealed a significant interaction between nights and sleep cycl... |
fast_asleep/3926054_18_0.txt | Evaluation of Discriminating Power of Conventional and Novel Features With Logistic Regression
Separate logistic regression analyses were used to estimate the odds ratio (OR) of having ID per unit change in each parameter that showed a significant group difference in the above between-group comparison, adjusted for age... |
fast_asleep/Cellstatetransitions_34_1.txt | ). Unravelling stem cell dynamics by lineage tracing. Nat. Rev. Mol. Cell Biol. 14, 489-502. https://doi.org/10.1038/nrm3625
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Boocock, D., Hino, N., Ruzickova, N., Hirashima, T. and Hannezo, E. (2021). Theory of mechanochemical patterning and optimal migration in cell monolayers. Nat. Phys. 17, 26... |
fast_asleep/3926054_50_2.txt | ña EA Strawderman RL Hollander M. Nonparametric estimation with recurrent event data. J Am Stat Assoc. 2001; 96(456):1299–1315.
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31. Hanley JA McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982; 143(1): 29–36.
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fast_asleep/Cellstatetransitions_7_1.txt | multi-omics approaches are now allowing us to analyse multiple features in parallel (e.g. gene expression and chromatin accessibility), they largely remain confined to exploring regulation at the DNA level. However, a cell state is more than the sum of its parts, meaning that multiple regulatory levels are often funda... |
fast_asleep/3926054_53_0.txt | Most Cited
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fast_asleep/full_166_0.txt | Zung, W. W. (1965). A self-rating depression scale. Arch. Gen. Psychiatry 12, 63–70. doi: 10.1001/archpsyc.1965.01720310065008 |
fast_asleep/full_150_0.txt | Toscani, L., Gangemi, P. F., Parigi, A., Silipo, R., Ragghianti, P., Sirabella, E., et al. (1996). Human heart rate variability and sleep stages. Ital. J. Neurol. Sci. 17, 437–439. doi: 10.1007/BF01997720 |
fast_asleep/full_20_0.txt | Results
Participants
Data from 26 participants were excluded from the analysis for the following reasons: sleep apnea syndrome (AHI ≥ 5 for both nights) (n = 19) and TST/TIB < 70% or sleep latency > 60 min (N = 7). As a result, 74 participants were included (40 women and 34 men, 20–33 years old, mean age 23.8 ± 2.2 yea... |
fast_asleep/3926054_19_0.txt | To evaluate whether the novel sleep stage dynamic features added ID–CTRL discriminating power to the information available in all possible combinations of the conventional sleep parameters, we moreover performed a chi-squared likelihood ratio test comparing two nested multiple logistic regression models: One included a... |
fast_asleep/full_113_0.txt | Google Scholar |
fast_asleep/3926054_18_1.txt | sex covariates and in a stepwise fashion added the independent variable that increased the model fit the most, until no feature could further increase the model fit significantly as assessed by chi-squared likelihood ratio tests. |
fast_asleep/full_4_2.txt | vani
Surveillance During REM Sleep for the First-Night Effect
Masako Tamaki and Yuka Sasaki
ORIGINAL RESEARCH article
Front. Physiol., 23 March 2021
Sec. Integrative Physiology
Volume 12 - 2021 | https://doi.org/10.3389/fphys.2021.623401
This article is part of the Research Topic
The Integrative Physiology of Metabolic... |
fast_asleep/full_43_0.txt | Funding
This study was funded by Grants-in-Aid for Scientific Research (B) (#25293393, #18H02965) and (A) (#25253102) from the Japan Society for the Promotion of Science (JSPS), by funds from the Intractable Oral Disease at Osaka University Graduate School of Dentistry and the Center of Innovation Science and Technolog... |
fast_asleep/3926054_10_0.txt | Scoring of Sleep Recordings
All sleep recordings were visually scored offline by an experienced scorer (JRR) blind to the participants’ group classification. Interscorer agreement in our lab generally lies between 0.67 and 0.80 (mean = 0.72 and 0.76 for ID and CTRL, respectively) in terms of Cohen’s kappa, that is, wit... |
fast_asleep/full_143_0.txt | CrossRef Full Text | Google Scholar |
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fast_asleep/full_97_0.txt | PubMed Abstract | CrossRef Full Text | Google Scholar |
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