Sleep最新文献

{"title":"Non-rapid eye movement sleep and isoflurane-induced anesthesia show divergent subcortical connectivity patterns during transition phases in mice.","authors":"Leesa Joyce, Rachel Nuttall, Matthias Kreuzer, Gerhard Rammes, Gerhard Schneider, Thomas Fenzl","doi":"10.1093/sleep/zsaf287","DOIUrl":"https://doi.org/10.1093/sleep/zsaf287","url":null,"abstract":"<p><strong>Study objectives: </strong>Neural dynamics underlying anesthesia-induced unconsciousness are not fully understood. Given the parallels between natural sleep and anesthesia-induced unconsciousness, it becomes imperative to understand the neuronal mechanisms behind these two distinct, yet seemingly interconnected states. This study investigated the interplay between sleep/ wake promoting nuclei during WAKE / NREM-sleep (NREMS) transitions, and the reversible loss and recovery of responsiveness (LOR/ROR) induced by isoflurane.</p><p><strong>Methods: </strong>Local field potentials (LFP) were recorded from the ventrolateral preoptic nucleus (VLPO) and locus coeruleus (LC) in mice alongside chronic EEG-recordings. After baseline recordings, a slow induction regime of isoflurane anesthesia followed. Functional connectivity between VLPO and LC during NREMS, WAKE, LOR and ROR was studied using coherence, inter site phase clustering and Granger causality analyses.</p><p><strong>Results: </strong>LFP data revealed an increase in coherence between VLPO and LC during NREMS, a decrease during WAKE. Coherence decreased after LOR. During ROR coherence did not change. Phase clustering between VLPO and LC increased during NREMS, decreased during WAKE, while across LOR/ROR transitions did not vary. Granger between VLPO and LC during WAKE/NREM transitions demonstrated bidirectional influences of the two nuclei. VLPO Granger caused LC during NREMS. In the slow-wave frequency, the Granger index from LC to VLPO decreased during NREMS, while after ROR, the Granger index from VLPO to LC increased.</p><p><strong>Conclusions: </strong>The present study revealed functional connectivity patterns between VLPO and LC during sleep and isoflurane anesthesia, suggesting that these processes partly do not share similar functional connectivity patterns for the two nuclei.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132040","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":"Circadian Mechanisms Underlying Post-exercise Blood Pressure Responses in Healthy Adults.","authors":"Leandro C Brito, Megan Jones, Nicole Chaudhary, George D Giraud, Steven A Shea, Saurabh S Thosar","doi":"10.1093/sleep/zsaf295","DOIUrl":"https://doi.org/10.1093/sleep/zsaf295","url":null,"abstract":"<p><strong>Study objectives: </strong>We aimed to determine whether the endogenous circadian system modulates blood pressure (BP) and its hemodynamic mechanisms during the post-exercise period.</p><p><strong>Methods: </strong>Ten healthy adults (mean age: 24±2 [SD] years; 4 males, 6 females) completed a 30-hour circadian protocol in dim light (<8 lux), while all behaviors and measurements were evenly distributed across the 24-hour circadian cycle. Participants underwent five recurring 6-hour cycles of 2-hour sleep opportunities and 4-hour standardized wake episodes. After 90 minutes of awakening during each wake episode, participants performed 30 minutes of moderate-intensity aerobic exercise at 40% heart-rate-reserve. Systolic, diastolic, and mean BP and hemodynamic determinants derived from the beat-to-beat BP waveform (finger photoplethysmography) were measured just before and 30 minutes after the conclusion of each exercise bout. Arm and leg blood flows were assessed using vascular ultrasound. Endogenous circadian phases were determined using each participant's dim-light melatonin onset. Mixed-model cosinor analyses were used to test for the presence of circadian rhythmicity (with significance set at p<0.05).</p><p><strong>Results: </strong>Systolic and mean BP reduction post-exercise had significant circadian rhythms, with the greatest decreases at the circadian phase corresponding to ~1 PM (-10 mmHg and -9 mmHg), respectively. Systemic vascular resistance and leg blood flow also had significant circadian rhythms, with the lowest resistance and greatest blood flow at ~11 AM.</p><p><strong>Conclusions: </strong>In young, healthy adults, the circadian system modulates the post-exercise BP reduction, likely due to skeletal muscle vasodilatory mechanisms.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132052","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":"Sleep Deprivation Impairs Team Performance and Cohesion.","authors":"Ellyse Greer, Mikaela Owen, Peter G Roma, Raymond W Matthews, Linda Grosser, Steven Hursh, Siobhan Banks","doi":"10.1093/sleep/zsaf288","DOIUrl":"https://doi.org/10.1093/sleep/zsaf288","url":null,"abstract":"<p><strong>Study objectives: </strong>Teams that work together across location, time and organisation are known as distributed teams. These teams often work in demanding environments that are stressful and fatiguing due to extended periods of wakefulness, intense work, and working during night hours. The aim of this study was to examine the impact of prolonged wakefulness on team performance and cohesion.</p><p><strong>Methods: </strong>n = 22 healthy, young individuals (M = 22.60,SD = 4.41 years,11f) participated in a five-day laboratory study with 62-hours of wakefulness. Throughout the sleep deprivation period, 4-person distributed team members completed the COHESION team task while physically isolated from one another. This task assessed cooperation, productivity, individual performance, team performance and team dynamics. Fatigue and subjective measures of team cohesion were also administered.</p><p><strong>Results: </strong>There were statistically significant differences between team member cooperation and team dynamics across the sleep deprivation period (p<.05,ƞp2 > 0.14), with steep declines in cooperation and team dynamics after 21 h of prior wake. There were statistically significant differences across productivity, team performance and team cohesion over the sleep deprivation period (p<.05,ƞp2 > 0.14), with deficits after 36 h of wake.</p><p><strong>Conclusions: </strong>Team members acted more selfishly than cooperatively after 21 h of total sleep deprivation, resulting in poorer team dynamics. Distributed team members were no longer able to engage effectively with their teams after 36 h of total sleep deprivation due to fatigue which was associated with poorer distributed team performance and cohesion. These findings show impairments for distributed teams who operate with severe fatigue in safety-critical working environments.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145126081","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":"The future of sleep medicine is here: How modern data analytics can help answer age-old questions in sleep medicine.","authors":"Sonja G Schütz, Cathy A Goldstein","doi":"10.1093/sleep/zsaf292","DOIUrl":"https://doi.org/10.1093/sleep/zsaf292","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145126066","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":"Unsupervised Clustering of Extensive Physiological Features Substantiates Five-Stage Sleep Staging Paradigm.","authors":"Yulin Ma, Chunping Li, Yiwen Xu, Xiaodan Tan, Xuefei Yu, Chang'an A Zhan","doi":"10.1093/sleep/zsaf284","DOIUrl":"https://doi.org/10.1093/sleep/zsaf284","url":null,"abstract":"<p><p>Traditional sleep staging, guided by the AASM scoring manual, categorizes sleep into five discrete stages based on visual analysis of electrophysiological signals by human expert. However, the rationale for the staging number remains underexplored, and sleep scoring results show low inter-rater agreement, due to such possible factors as subjective judgment, expertise variability among human experts, and limited number of signal features in the AASM manual. To address these limitations, we developed an unsupervised clustering framework incorporating a large set of features from EEG, EOG and EMG signals, including but not limited to the AASM visual features, and performing sleep staging without relying on pre-defined scoring rules. This data-driven approach shows that the sleep data can be optimally partitioned into five clusters, which correspond well to the five sleep stages defined in the AASM scoring manual. Importantly, the algorithm recognizes over 80% of AASM visual features, and additionally uncovers many features not mentioned in the AASM scoring manual. Detailed analysis into epochs inconsistently scored by the algorithm and by the human expert shows that the algorithm provides more interpretable results. The present study offers well-grounded evidence supporting that sleep should be partitioned into five stages. The findings also suggest that more features in the sleep data should be utilized in addition to those included in the AASM scoring manual for more accurate sleep scoring.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145126100","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":"Norwegian Excellence: High-Quality Research in a Healthy Population.","authors":"Lauren Hale, Dimitri A Christakis","doi":"10.1093/sleep/zsaf294","DOIUrl":"https://doi.org/10.1093/sleep/zsaf294","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145125982","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":"Physical Activity: A Safe Step Toward Better Quality of Life in Narcolepsy.","authors":"Vladimir Tuka, Karel Šonka","doi":"10.1093/sleep/zsaf293","DOIUrl":"https://doi.org/10.1093/sleep/zsaf293","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145126093","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":"Performance of an Automated Sleep Scoring Approach for Actigraphy Data in Children and Adolescents.","authors":"Pin-Wei Chen, Erica C Jansen, Christopher M Cielo, Ariel A Williamson, Margaret Banker, Michael Kaye, Peter X K Song, Karen E Peterson, Alejandra Cantoral, Martha María Téllez-Rojo, Cathy Goldstein, Khadija Zanna, Akane Sano, Jennette P Moreno, Heidi Kalkwarf, Babette S Zemel, Jonathan A Mitchell","doi":"10.1093/sleep/zsaf282","DOIUrl":"10.1093/sleep/zsaf282","url":null,"abstract":"<p><strong>Study objectives: </strong>GGIR is an R package for processing raw acceleration data to estimate sleep health parameters. We aimed to 1) assess the performance of three sleep algorithms within GGIR against PSG for detecting sleep/wake in clinically referred, typically-developing children (criterion validity); and 2) describe GGIR-derived sleep estimates from typically developing children enrolled in multiple cohort studies (face validity).</p><p><strong>Methods: </strong>For criterion evaluation, children (8-16y, N=30) wore an actigraphy device for one night during in-lab polysomnography with performance assessed using epoch-by-epoch analyses. For face validity evaluation, four community/free living datasets were used: 1) BMAYC (3-5y, N=310), 2) SSS (5-8y, N=118), 3) S-Grow2 (12-13y; N=291) and 4) ELEMENT (9-18y; N=543). All raw acceleration data were processed using GGIR (v.3.0-0) with the Cole-Kripke (CK), Sadeh (S), and van Hees (vH) algorithm settings.</p><p><strong>Results: </strong>Following the in-lab test, 60% of children were diagnosed with mild to severe obstructive sleep apnea (OSA). For criterion evaluation, the 30-s epoch-by-epoch analyses revealed that average balanced accuracies were 0.80 (Sensitivity=0.80; Specificity=0.79), 0.76 (Sensitivity=0.86; Specificity=0.65), and 0.67 (Sensitivity=0.95, Specificity=0.39) for GGIR-CK, GGIR-vH, and GGIR-S, respectively. For face validity evaluation, sleep estimates mirrored the in-lab performance metrics (e.g., sleep duration estimates were similar when using GGIR-CK and GGIR-VH but approximately one hour longer when using GGIR-S).</p><p><strong>Conclusions: </strong>The in-lab performance metrics, from typically-developing children with and without OSA, and cohort-based descriptive statistics from samples of typically-developing children, provide benchmark data to guide investigators on the suitability of GGIR for automated processing of raw acceleration data for pediatric sleep estimation.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12494141/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145092593","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":"Associations among nonrestorative sleep status, sleep apnea syndrome, and major adverse cardiac and cerebrovascular events: Health check-up and claims data in Japan.","authors":"Naomi Takahashi, Yoshimitsu Takahashi, Kimihiko Murase, Kazuma Nagata, Yuka Nakatani, Satoshi Hamada, Hironobu Sunadome, Jumpei Togawa, Toyohiro Hirai, Kazuo Chin, Takeo Nakayama, Susumu Sato","doi":"10.1093/sleep/zsaf290","DOIUrl":"https://doi.org/10.1093/sleep/zsaf290","url":null,"abstract":"<p><strong>Study objectives: </strong>Nonrestorative sleep (NRS) refers to the subjective experience of feeling unrefreshed upon awakening that is not attributed to a lack of sleep. NRS may lead to the development of various lifestyle-related diseases, including cardiovascular disease. We investigated the relationships among NRS status, major adverse cardiac and cerebrovascular events (MACCEs), and newly diagnosed sleep apnea syndrome (SAS) status among health check-up participants via the health insurance claims database.</p><p><strong>Methods: </strong>We followed 86009 participants who underwent health check-ups in 2014 and answered a sleep-related question for up to 6 years via health insurance claims and a health check-up database. MACCEs were defined as the initial recording of a diagnostic code for MACCEs that required hospitalization. Cox proportional hazards models were constructed to determine whether NRS status was significantly associated with MACCE risk.</p><p><strong>Results: </strong>The mean age of the participants was 50.7±15.8 years; 58.8% were male, and 32.9% had NRS status. Even after adjusting for other factors, NRS status was a significant risk factor for MACCE development (hazard ratio: 1.14, 95% CI: 1.07-1.23). A total of 75.9% of the participants who had both MACCEs and newly diagnosed SAS during the follow-up period had heart disease.</p><p><strong>Conclusions: </strong>NRS status is an important indicator of sleep hygiene, and improving NRS might reduce the risk of MACCE development. Further screening tests (e.g., home sleep apnea testing) and consequent appropriate treatment may reduce MACCE risk and maintain their health status in people with NRS identified during checkups.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145092424","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":"Pre-shift work chronotype matters: resilience as a mediator to shift work tolerance.","authors":"Jee Hyun Kim","doi":"10.1093/sleep/zsaf281","DOIUrl":"https://doi.org/10.1093/sleep/zsaf281","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145092552","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}