Sleep最新文献

{"title":"Metabolism of the Sleeping Brain: Potential Links between Sleep Microarchitecture and Peripheral Blood Glucose.","authors":"Bradley R King, Genevieve Albouy, Christopher M Depner","doi":"10.1093/sleep/zsaf071","DOIUrl":"https://doi.org/10.1093/sleep/zsaf071","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143650899","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":"Brief sleep disruption alters synaptic structures among hippocampal and neocortical somatostatin-expressing interneurons.","authors":"Frank Raven, Alexis Vega Medina, Kailynn Schmidt, Annie He, Anna A Vankampen, Vinodh Balendran, Sara J Aton","doi":"10.1093/sleep/zsaf064","DOIUrl":"10.1093/sleep/zsaf064","url":null,"abstract":"<p><strong>Study objectives: </strong>Brief sleep loss alters cognition and synaptic structures of principal neurons in hippocampus and neocortex. However, while in vivo recording and bioinformatic data suggest that inhibitory interneurons are more strongly affected by sleep loss, it is unclear how sleep and sleep deprivation affect interneurons' synapses. Disruption of the SST+ interneuron population seems to be a critical early sign of neuropathology in Alzheimer's dementia, schizophrenia, and bipolar disorder - and the risk of developing all three is increased by habitual sleep loss. We aimed to test how the synaptic structures of SST+ interneurons in various brain regions are affected by brief sleep disruption.</p><p><strong>Methods: </strong>We used Brainbow 3.0 to label SST+ interneurons in the dorsal hippocampus, prefrontal cortex, and visual cortex of male SST-CRE transgenic mice, then compared synaptic structures in labeled neurons after a 6-h period of ad lib sleep, or gentle handling sleep deprivation (SD) starting at lights on.</p><p><strong>Results: </strong>Dendritic spine density among SST+ interneurons in both hippocampus and neocortex was altered in a subregion-specific manner, with increased overall and thin spine density in CA1, dramatic increases in spine volume and surface area in CA3, and small but significant changes (primarily decreases) in spine size in CA1, PFC and V1.</p><p><strong>Conclusions: </strong>Our suggest that the synaptic connectivity of SST+ interneurons is significantly altered in a brain region-specific manner by a few hours of sleep loss. This suggests a cell type-specific mechanism by which sleep loss disrupts cognition and alters excitatory-inhibitory balance in brain networks.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143650897","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":"Artificial Intelligence in Pediatric Sleep Staging: A New Era or a Complementary Tool?","authors":"Oliviero Bruni","doi":"10.1093/sleep/zsaf067","DOIUrl":"https://doi.org/10.1093/sleep/zsaf067","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633646","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":"Tailoring deep brain stimulation for sleep: using actigraphy to understand the relationship between Parkinsonian brain activity and behavioural state.","authors":"Joram J van Rheede, Andrew Sharott","doi":"10.1093/sleep/zsaf066","DOIUrl":"https://doi.org/10.1093/sleep/zsaf066","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634219","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":"Assessment of Sleep Measures and their agreement: Youth-Reported, Caregiver-Reported, and Fitbit-Derived Data in a Large Early Adolescent Cohort.","authors":"Orsolya Kiss, Adrianna Shaska, Eva M Müller-Oehring, Brant P Hasler, Peter L Franzen, Douglas H Fitzgerald, Duncan B Clark, Fiona C Baker","doi":"10.1093/sleep/zsaf065","DOIUrl":"https://doi.org/10.1093/sleep/zsaf065","url":null,"abstract":"<p><strong>Study objectives: </strong>Adequate sleep is essential for adolescents' physical, emotional, and cognitive well-being. However, accurately capturing the complex components of sleep in this demographic is challenging, especially with retrospective self-report measures. This study aims to compare sleep data obtained from youth reports, caregiver reports, and Fitbit devices among early adolescents.</p><p><strong>Methods: </strong>Data from 11,879 adolescents (11-14 years, 47.83% female), in Year 2 of the Adolescent Brain Cognitive Development (ABCD) Study, were analyzed. Adolescents self-reported their sleep characteristics using the Munich Chronotype Questionnaire, and caregivers provided data through the Children's Sleep Disturbance Scale. Additionally, a subset of participants (N = 3,803) wore Fitbit Charge 2 devices for 21 days. We assessed the questionnaires' internal consistency and utilized Bland-Altman and interclass correlation analyses for comparing self-reported sleep characteristics with Fitbit measures.</p><p><strong>Results: </strong>Youth-reported and caregiver-reported sleep questionnaires demonstrated acceptable internal consistency. Discrepancies between caregiver and adolescent reports were more pronounced when adolescents reported sleep periods of less than 7 hours. Compared to Fitbit measurements, adolescents' self-reports showed a reasonably high agreement on sleep period and bedtime, while agreement on duration of wakefulness after sleep onset and sleep onset latency was poor.</p><p><strong>Conclusions: </strong>Results show reasonable agreement between adolescent self-reports and Fitbit measurements of sleep period and indicate their usefulness in assessing sleep behavior in adolescents. Caregivers provided valuable perspectives of the youth's sleep disturbances, however, they tended to overestimate sleep duration. These findings offer important methodological insights and highlight the necessity of adopting multi-dimensional approaches to assess sleep in adolescents.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634120","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 foundational transformer leveraging full night, multichannel sleep study data accurately classifies sleep stages.","authors":"Benjamin Fox, Joy Jiang, Sajila Wickramaratne, Patricia Kovatch, Mayte Suarez-Farinas, Neomi A Shah, Ankit Parekh, Girish N Nadkarni","doi":"10.1093/sleep/zsaf061","DOIUrl":"10.1093/sleep/zsaf061","url":null,"abstract":"<p><strong>Study objectives: </strong>To evaluate whether a foundational transformer using 8-hour, multichannel polysomnogram (PSG) data can effectively encode signals and classify sleep stages with state-of-the-art performance.</p><p><strong>Methods: </strong>The Sleep Heart Health Study, Wisconsin Sleep Cohort, and Osteoporotic Fractures in Men (MrOS) Study Visit 1 were used for training, and the Multi-Ethnic Study of Atherosclerosis (MESA), Apnea Positive Pressure Long-term Efficacy Study (APPLES), and MrOS visit 2 served as independent test sets. We developed PFTSleep, a self-supervised foundational transformer that encodes full night sleep studies with brain, movement, cardiac, oxygen, and respiratory channels. These representations were used to train another model to classify sleep stages. We compared our results to existing methods, examined differences in performance by varying channel input data and training dataset size, and investigated an AI explainability tool to analyze decision processes.</p><p><strong>Results: </strong>PFTSleep was trained with 13,888 sleep studies and tested on 4,169 independent studies. Cohen's Kappa scores were 0.81 for our held-out set, 0.59 for APPLES, 0.60 for MESA, and 0.75 for MrOS Visit 2. Performance increases to 0.76 on a held-out MESA set when MESA is included in the training of the classifier head but not the transformer. Compared to other state-of-the-art AI models, our model shows high performance across diverse datasets while only using task agnostic PSG representations from a foundational transformer as input for sleep stage classification.</p><p><strong>Conclusions: </strong>Full night, multichannel PSG representations from a foundational transformer enable accurate sleep stage classification comparable to state-of-the-art AI methods across diverse datasets.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143624650","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":"Is it time to revisit the scoring of Slow Wave (N3) Sleep?","authors":"Shaun Davidson, Rachel Sharman, Simon D Kyle, Lionel Tarassenko","doi":"10.1093/sleep/zsaf063","DOIUrl":"https://doi.org/10.1093/sleep/zsaf063","url":null,"abstract":"<p><p>The use of a fixed electroencephalogram (EEG) amplitude threshold of 75 µV for labelling slow waves is a subject of ongoing discussion given EEG amplitude is known to vary with age and sex. This paper investigates the impact of this amplitude threshold on age- and sex-related trends in visually-annotated SWS. Automated methods for labelling SWS using data-driven thresholds and amplitude- or frequency-based inputs are developed. Age- and sex-related trends in SWS derived from visual annotation and automated labelling are then compared across a cohort of 2,913 participants from the Sleep Heart Health Study. In the selected cohort, males exhibit an age-related decrease in visually-annotated SWS, which is preserved when using automated labelling. In contrast, females exhibit a mild age-related increase in visually-annotated and amplitude-labelled SWS, but an age-related decrease in frequency-labelled SWS. Further, using frequency-labelled SWS results in a reduction in SWS in females to a level comparable to that of males. Overall, the consistency of age-related trends in SWS in males between visual annotation and automated labelling, as well as the lack of consistency in these trends in females, is striking. Given that the 75 µV amplitude threshold was established using data acquired primarily from young males, these results suggest that observed sex-based differences in visually-annotated SWS may be artefactual rather than physiological, and a result of the 75 µV amplitude criterion. This sex-related disparity highlights the need for the AASM guidelines for scoring SWS to be reviewed and updated to provide equivalent performance for males and females.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617317","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":"Association of estimated glomerular filtration rate with the incidence of sleep apnea syndrome.","authors":"Tatsuhiko Azegami, Hidehiro Kaneko, Akira Okada, Yuta Suzuki, Toshiyuki Ko, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Norihiko Takeda, Takashi Yokoo, Hideo Yasunaga, Masaomi Nangaku, Kaori Hayashi","doi":"10.1093/sleep/zsae302","DOIUrl":"10.1093/sleep/zsae302","url":null,"abstract":"<p><strong>Study objectives: </strong>Sleep apnea syndrome (SAS) is potentially linked to life-threatening conditions. The decline in kidney function is involved in the development of various diseases; however, it remains unclear whether it is implicated in the onset of SAS. Therefore, this study aimed to investigate the relationship between kidney function and the incidence of SAS.</p><p><strong>Methods: </strong>The association of estimated glomerular filtration rate (eGFR) with the incidence of SAS was assessed retrospectively using real-world administrative claims and health checkup data collected between April 2014 and November 2022. To strengthen robustness, three stratified analyses and four sensitivity analyses were conducted.</p><p><strong>Results: </strong>We assessed 1 589 259 individuals for the analysis. During a median (interquartile range) follow-up of 1167 (652-1699) days, 11 054 cases of SAS events were documented. Multivariable Cox regression analyses after adjusting for potential confounders, including age, sex, body mass index, hypertension, diabetes, dyslipidemia, cigarette smoking, alcohol drinking, and physical inactivity, demonstrated that the decrease in eGFR (eGFR ≥ 90, 60-89, 45-59, 30-44, and <30 mL/min/1.73 m2) was associated with a higher risk of SAS (hazard ratio [95% confidence intervals]; 1 [reference value], 1.13 [1.06-1.20], 1.22 [1.13-1.32], 1.34 [1.17-1.52], 1.82 [1.43-2.33]). In the restricted cubic spline regression model, the risk of developing SAS increased with the reduction in eGFR. The results of the sensitivity analyses were consistent with the primary findings.</p><p><strong>Conclusion: </strong>Our analysis utilizing a large-scale population-based cohort concluded that reduced eGFR is associated with the risk of developing SAS in a dose-dependent manner.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893532/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865247","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":"Event-related potentials as neurophysiological predictors of high-risk isolated REM sleep behavior disorder patients.","authors":"Giuseppe Lanza, Maria P Mogavero, Raffaele Ferri","doi":"10.1093/sleep/zsae311","DOIUrl":"10.1093/sleep/zsae311","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142915691","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":"Spectral dynamics prior to motor events differ between NREM sleep parasomnias and healthy sleepers.","authors":"Anna Castelnovo, Greta Mainieri, Giuseppe Loddo, Spyros Balafas, Chiara Brombin, Giulia Balella, Angelica Montini, Clelia Di Serio, Mauro Manconi, Federica Provini","doi":"10.1093/sleep/zsae252","DOIUrl":"10.1093/sleep/zsae252","url":null,"abstract":"<p><strong>Study objectives: </strong>The umbrella term \"Disorders of Arousal\" (DoA), encompassing sleepwalking, confusional arousals, and sleep terrors, refers to parasomnias manifesting during nonrapid eye movement (NREM) sleep, commonly thought to arise from an aberrant arousal process. While previous studies have detailed electroencephalographic (EEG) changes linked to DoA episodes, it remains uncertain how these alterations differ from a physiological arousal process. This study directly compared brain activity between DoA episodes and arousals associated with physiological movements (motor arousal) in individuals with DoA and healthy sleepers.</p><p><strong>Methods: </strong>Fifty-three adult participants with DoA (25 males, 32.2 ± 15.5 years) and 33 control participants (14 males, 31.4 ± 11.4 years) underwent one or more home EEG recordings. A semiparametric regression model was employed to elucidate the complex relationship between EEG activity across channels, within and across different groups, including motor arousals in DoA (n = 169), parasomnia episodes in DoA (n = 361), and motor arousals in healthy sleepers (n = 137).</p><p><strong>Results: </strong>Parasomnia episodes and motor arousals in both groups were preceded by a diffuse increase in slow-wave activity (SWA) and beta power, and a widespread decrease in sigma power. However, motor arousals in DoA displayed lower beta and central sigma than in healthy sleepers. Within participants with DoA, episodes were preceded by lower beta, frontal sigma, and higher SWA than motor arousals.</p><p><strong>Conclusions: </strong>Our findings suggest that the arousal process is altered in participants with DoA, and that specific EEG patterns are required for DoA episodes to emerge. These insights will help guide future research into the underlying circuits and objective markers of DoA.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142508308","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}