Sleep最新文献

{"title":"Daytime naps improve afternoon power and perceptual measures in elite rugby union athletes-a randomized cross-over trial.","authors":"Angus R Teece, Christopher M Beaven, Christos K Argus, Nicholas Gill, Matthew W Driller","doi":"10.1093/sleep/zsad133","DOIUrl":"10.1093/sleep/zsad133","url":null,"abstract":"<p><p>Daytime naps are used by elite athletes in both training and match-day settings. Currently, there are limited interventional studies on the efficacy of napping on physical performance in elite team-sport athletes. Therefore, the objective was to investigate the effect of a daytime nap (<1 hour) on afternoon performance of peak power, reaction time, self-reported wellness, and aerobic performance in professional rugby union athletes. A randomized cross-over design was carried out among 15 professional rugby union athletes. Athletes performed nap (NAP) and no nap (CON) conditions on two occasions, separated by 1 week. Baseline testing of reaction time, self-reported wellness, and a 6-second peak power test on a cycle ergometer were completed in the morning, followed by 2 × 45-minute training sessions, after which athletes completed the NAP or CON condition at 1200 hours. Following the nap period, baseline measures were retested in addition to a 30-minute fixed-intensity interval cycle and a 4-minute maximal effort cycling test. A significant group × time interaction was determined for 6-second peak power output (+157.6 W, p < 0.01, d = 1.53), perceived fatigue (-0.2 AU, p = 0.01, d = 0.37), and muscle soreness (-0.1 AU, p = 0.04, d = 0.75) in favor of the NAP condition. A significantly lower perceived exertion rating (-1.2 AU, p < 0.01, d = 1.72) was recorded for the fixed-intensity session in favor of NAP. This study highlights that utilizing daytime naps between training sessions on the same day improved afternoon peak power and lowered perceptions of fatigue, soreness, and exertion during afternoon training in professional rugby union athletes.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10710987/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9487252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eye-mask and earplugs compared with sleep advice leaflet to improve night sleep duration in pregnancy: a randomized controlled trial.","authors":"Farah Gan, Muginrarao Sooriappragasarao, Sofiah Sulaiman, Nuguelis Razali, Jesrine Gek Shan Hong, Peng Chiong Tan","doi":"10.1093/sleep/zsad196","DOIUrl":"10.1093/sleep/zsad196","url":null,"abstract":"<p><strong>Study objectives: </strong>To evaluate at-home use of eye-mask and earplugs (EMEP) versus sleep hygiene advice leaflet (AL) on actigraphy-derived night sleep duration in sleep-deprived pregnant women.</p><p><strong>Methods: </strong>A randomized controlled trial was conducted in the antenatal clinic of University Malaya Medical Centre from June 2021 to June 2022. Women at 34-36 weeks gestation with self-reported night sleep duration ≤6 hours were recruited. Participants wore an actigraphy device at night for seven consecutive nights (Observation/Baseline week). Only women whose actigraphy-derived night sleep duration was confirmed to be ≤360 minutes were randomized to use EMEP or AL. Actigraphy was continued for another week (Intervention week). Primary outcome was change in actigraphy-derived night sleep duration from observation to intervention week across trial arms. Secondary outcomes include participants' sleep quality, labor, and neonatal outcome. Comparisons were by Student t-test, Mann-Whitney U test, and chi-square test.</p><p><strong>Results: </strong>A total of 210 women were randomized: 105 each to EMEP and AL. The increase in night sleep duration over baseline was significantly longer with both EMEP (mean ± SD) 23 ± 41 minutes, p < .001, and AL 10 ± 35 minutes, p = .007. Night sleep duration was longer by 12.9 (95% CI = 2.2 to 23.7) minutes, p = .019 with EMEP over AL. Sleep quality (Global Pittsburgh Sleep Quality Index score) was significantly improved with EMEP (mean ± SD) -2.0 ± 2.5, p < .001, but not with AL -0.3 ± 2.2, p = .246. Labor and neonatal outcomes were not significantly different.</p><p><strong>Conclusion: </strong>EMEP significantly lengthened night sleep duration in sleep-deprived women in late pregnancy and is superior to AL.</p><p><strong>Clinical trial information: </strong>\"Use of eye masks and earplugs compared with standard advice to improve sleep in pregnancy\". https://doi.org/10.1186/ISRCTN19061849. Registered with ISRCTN on 07 May 2021, trial identification number: ISRCTN19061849.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10227595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A deep dive into the physiological differences responsible for obstructive sleep apnea between races.","authors":"Bradley A Edwards, Denise M O'Driscoll, Elliot J Brooker, Shane A Landry","doi":"10.1093/sleep/zsad186","DOIUrl":"10.1093/sleep/zsad186","url":null,"abstract":"","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9764364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In the light: towards developing metrics of light regularity.","authors":"Danielle A Wallace","doi":"10.1093/sleep/zsad114","DOIUrl":"10.1093/sleep/zsad114","url":null,"abstract":"","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10710984/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10101599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Normalized electroencephalogram power: a trait with increased risk of dementia.","authors":"Magdy Younes, Susan Redline, Katherine Peters, Kristine Yaffe, Shaun Purcell, Ina Djonlagic, Katie L Stone","doi":"10.1093/sleep/zsad195","DOIUrl":"10.1093/sleep/zsad195","url":null,"abstract":"","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10710983/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9842935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A meta-analysis of the relation between dream content and memory consolidation.","authors":"Lauren Hudachek, Erin J Wamsley","doi":"10.1093/sleep/zsad111","DOIUrl":"10.1093/sleep/zsad111","url":null,"abstract":"<p><p>The frequent appearance of newly learned information in dreams suggests that dream content is influenced by memory consolidation. Many studies have tested this hypothesis by asking whether dreaming about a learning task is associated with improved memory, but results have been inconsistent. We conducted a meta-analysis to determine the strength of the association between learning-related dreams and post-sleep memory improvement. We searched the literature for studies that (1) trained participants on a pre-sleep learning task and then tested their memory after sleep, and (2) associated post-sleep memory improvement with the extent to which dreams incorporated learning task content. Sixteen studies qualified for inclusion, which together reported 45 effects. Integrating across effects, we report a strong and statistically significant association between task-related dreaming and memory performance (SMD = 0.51 [95% CI 0.28, 0.74], p < 0.001). Among studies using polysomnography, this relationship was statistically significant for dreams collected from non-rapid eye movement (NREM) sleep (n = 10) but not for dreams collected from rapid eye movement (REM) sleep (n = 12). There was a significant association between dreaming and memory for all types of learning tasks studied. This meta-analysis provides further evidence that dreaming about a learning task is associated with improved memory performance, suggesting that dream content may be an indication of memory consolidation. Furthermore, we report preliminary evidence that the relationship between dreaming and memory may be stronger in NREM sleep compared to REM.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9445084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Standardized image-based polysomnography database and deep learning algorithm for sleep-stage classification.","authors":"Jaemin Jeong, Wonhyuck Yoon, Jeong-Gun Lee, Dongyoung Kim, Yunhee Woo, Dong-Kyu Kim, Hyun-Woo Shin","doi":"10.1093/sleep/zsad242","DOIUrl":"10.1093/sleep/zsad242","url":null,"abstract":"<p><strong>Study objectives: </strong>Polysomnography (PSG) scoring is labor-intensive, subjective, and often ambiguous. Recently several deep learning (DL) models for automated sleep scoring have been developed, they are tied to a fixed amount of input channels and resolution. In this study, we constructed a standardized image-based PSG dataset in order to overcome the heterogeneity of raw signal data obtained from various PSG devices and various sleep laboratory environments.</p><p><strong>Methods: </strong>All individually exported European data format files containing raw signals were converted into images with an annotation file, which contained the demographics, diagnoses, and sleep statistics. An image-based DL model for automatic sleep staging was developed, compared with a signal-based model, and validated in an external dataset.</p><p><strong>Results: </strong>We constructed 10253 image-based PSG datasets using a standardized format. Among these, 7745 diagnostic PSG data were used to develop our DL model. The DL model using the image dataset showed similar performance to the signal-based dataset for the same subject. The overall DL accuracy was greater than 80%, even with severe obstructive sleep apnea. Moreover, for the first time, we showed explainable DL in the field of sleep medicine as visualized key inference regions using Eigen-class activation maps. Furthermore, when a DL model for sleep scoring performs external validation, we achieved a relatively good performance.</p><p><strong>Conclusions: </strong>Our main contribution demonstrates the availability of a standardized image-based dataset, and highlights that changing the data sampling rate or number of sensors may not require retraining, although performance decreases slightly as the number of sensors decreases.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10228851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dusk2Dawn: an EEGLAB plugin for automatic cleaning of whole-night sleep electroencephalogram using Artifact Subspace Reconstruction.","authors":"Richard Somervail, Jacinthe Cataldi, Aurélie M Stephan, Francesca Siclari, Gian Domenico Iannetti","doi":"10.1093/sleep/zsad208","DOIUrl":"10.1093/sleep/zsad208","url":null,"abstract":"<p><p>Whole-night sleep electroencephalogram (EEG) is plagued by several types of large-amplitude artifacts. Common approaches to remove them are fraught with issues: channel interpolation, rejection of noisy intervals, and independent component analysis are time-consuming, rely on subjective user decisions, and result in signal loss. Artifact Subspace Reconstruction (ASR) is an increasingly popular approach to rapidly and automatically clean wake EEG data. Indeed, ASR adaptively removes large-amplitude artifacts regardless of their scalp topography or consistency throughout the recording. This makes ASR, at least in theory, a highly-promising tool to clean whole-night EEG. However, ASR crucially relies on calibration against a subset of relatively clean \"baseline\" data. This is problematic when the baseline changes substantially over time, as in whole-night EEG data. Here we tackled this issue and, for the first time, validated ASR for cleaning sleep EEG. We demonstrate that ASR applied out-of-the-box, with the parameters recommended for wake EEG, results in the dramatic removal of slow waves. We also provide an appropriate procedure to use ASR for automatic and rapid cleaning of whole-night sleep EEG data or any long EEG recording. Our procedure is freely available in Dusk2Dawn, an open-source plugin for EEGLAB.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10257439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Racial differences in upper airway collapsibility and loop gain in young adult males.","authors":"Shipra Puri, Gino S Panza, Dylan Kissane, Steven Jones, Kevin Reck, Ho-Sheng Lin, M Safwan Badr, Jason H Mateika","doi":"10.1093/sleep/zsad091","DOIUrl":"10.1093/sleep/zsad091","url":null,"abstract":"<p><strong>Study objectives: </strong>Previous studies reported that the apnea-hypopnea index was similar in young adult Black and White participants. However, whether this similarity reflects an analogous combination of apneas and hypopneas is unknown. Likewise, the physiological mechanisms underlying this similarity has not been explored.</p><p><strong>Methods: </strong>60 Black and 48 White males completed the study. After matching for age and body mass index, 41 participants remained in each group. All participants completed a sleep study. Subsequently, standard sleep indices along with loop gain and the arousal threshold were determined. In addition, airway collapsibility (24 of 60 and 14 of 48 participants) and the hypoxic ventilatory response during wakefulness (30 of 60 and 25 of 48 participants) was measured.</p><p><strong>Results: </strong>The apnea-hypopnea index was similar in Blacks and Whites (p = .140). However, the index was comprised of more apneas (p = .014) and fewer hypopneas (p = .025) in Black males. These modifications were coupled to a reduced loop gain (p = .0002) and a more collapsible airway (p = .030). These differences were independent of whether or not the groups were matched. For a given hypoxic response, loop gain was reduced in Black compared to White males (p = .023).</p><p><strong>Conclusions: </strong>Despite a similar apnea-hypopnea index, more apneas and fewer hypopneas were evident in young adult Black compared to White males. The physiological mechanisms that contribute to these events were also different between groups. Addressing these differences may be important when considering novel therapeutic approaches to eliminate apnea in Black and White participants.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10710980/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10124719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Direct optogenetic activation of upper airway muscles in an acute model of upper airway hypotonia mimicking sleep onset.","authors":"Fiona L Knapman, E Myfanwy Cohen, Tom Kulaga, Nigel Lovell, Leszek Lisowski, Simon McMullan, Peter G R Burke, Lynne E Bilston","doi":"10.1093/sleep/zsad226","DOIUrl":"10.1093/sleep/zsad226","url":null,"abstract":"<p><strong>Study objectives: </strong>Obstructive sleep apnea (OSA), where the upper airway collapses repeatedly during sleep due to inadequate dilator muscle tone, is challenging to treat as current therapies are poorly tolerated or have variable and unpredictable efficacy. We propose a novel, optogenetics-based therapy, that stimulates upper airway dilator muscle contractions in response to light. To determine the feasibility of a novel optogenetics-based OSA therapy, we developed a rodent model of human sleep-related upper airway muscle atonia. Using this model, we evaluated intralingual delivery of candidate optogenetic constructs, notably a muscle-targeted approach that will likely have a favorable safety profile.</p><p><strong>Methods: </strong>rAAV serotype 9 viral vectors expressing a channelrhodopsin-2 variant, driven by a muscle-specific or nonspecific promoter were injected into rat tongues to compare strength and specificity of opsin expression. Light-evoked electromyographic responses were recorded in an acute, rodent model of OSA. Airway dilation was captured with ultrasound.</p><p><strong>Results: </strong>The muscle-specific promoter produced sufficient opsin expression for light stimulation to restore and/or enhance electromyographic signals (linear mixed model, F = 140.0, p < 0.001) and induce visible tongue contraction and airway dilation. The muscle-specific promoter induced stronger (RM-ANOVA, F(1,8) = 10.0, p = 0.013) and more specific opsin expression than the nonspecific promoter in an otherwise equivalent construct. Viral DNA and RNA were robust in the tongue, but low or absent in all other tissues.</p><p><strong>Conclusions: </strong>Significant functional responses to direct optogenetic muscle activation were achieved following muscle-specific promoter-driven rAAV-mediated transduction, providing proof-of-concept for an optogenetic therapy for patients with inadequate dilator muscle activity during sleep.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10128856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}