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Quantifying cumulative circadian disruption from shift work and associations with health outcomes in a large cohort of nurses. 在一大群护士中量化轮班工作造成的累积昼夜节律中断及其与健康结果的关系。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf301
Linske de Bruijn, Michael Schaapveld, Jelle J Vlaanderen, Roel C H Vermeulen, Hans Kromhout, Flora E van Leeuwen, Nina E Berentzen

Study objectives: Night shifts are commonly used as proxy for circadian disruption (CD) in epidemiological studies. However, other shift types can also cause CD if they interfere with a worker's biological night. We quantified and compared cumulative CD to night shift exposure and assessed their associations with health-related outcomes.

Methods: Shift work exposure was derived from questionnaire data for 42 119 nurses for the period 2012-2017. Cumulative CD was estimated as the total overlap (h) between shift work and preferred sleep-wake times. Pearson's correlation (r) assessed relationships between cumulative CD and night shift exposure. Associations with sleep disturbances, medication use, and overweight were analyzed using Poisson regression.

Results: The median cumulative CD among shift workers was 1674 h over 6 years (interquartile range = 432-3153 h). High CD (≥2809 h) was associated with increased prevalence of sleep problems (incidence rate ratio [IRR] = 1.10, 95% confidence interval [CI] 1.07-1.13), melatonin use (IRR = 1.86; 95% CI 1.70-2.04), sleep medication use (IRR = 1.15; 95% CI 1.01-1.32), and overweight (IRR = 1.04; 95% CI 1.02-1.07). The number of performed night shifts strongly correlated with cumulative CD (r = 0.93), and using night shifts as proxy for CD gave similar results. However, among shift workers who did not perform night shifts, high CD was still associated with increased sleep problems and melatonin use.

Conclusion: Cumulative CD is associated with sleep and health disturbances, even among shift workers who do not perform night shifts, underlining its potential role in disease development. While night shifts remain a practical proxy in large-scale studies, our study highlights the importance of using more nuanced, individualized measures of CD.

研究目的:在流行病学研究中,夜班通常被用作昼夜节律中断(CD)的代理。然而,如果其他班次干扰了工人的生理睡眠,也会导致乳糜泻。我们量化并比较了累积CD与夜班暴露,并评估了它们与健康相关结果的关系。方法:对2012-2017年42119名护士的轮班工作暴露情况进行问卷调查。累积CD估计为轮班工作和首选睡眠-觉醒时间之间的总重叠时间(小时数)。皮尔逊相关(r)评估累积CD与夜班暴露之间的关系。使用泊松回归分析与睡眠障碍、药物使用和超重的关系。结果:倒班工人六年内累积CD的中位数为1,674小时(四分位数范围=432-3,153)。高CD(≥2,809小时)与睡眠问题患病率增加(发病率比[IRR]=1.10, 95%可信区间[CI]=1.07-1.13)、褪黑激素使用(IRR=1.86; 95%CI=1.70-2.04)、睡眠药物使用(IRR=1.15; 95%CI=1.01-1.32)和超重(IRR=1.04; 95%CI=1.02-1.07)相关。夜班的数量与累积的慢性阻塞性肺病密切相关(r=0.93),使用夜班作为慢性阻塞性肺病的代理也给出了类似的结果。然而,在不上夜班的轮班工人中,高CD仍然与睡眠问题和褪黑激素的使用增加有关。结论:累积性CD与睡眠和健康障碍有关,即使在不上夜班的轮班工人中也是如此,强调了其在疾病发展中的潜在作用。虽然夜班在大规模研究中仍然是一个实用的代理,但我们的研究强调了使用更细致、个性化的乳糜泻测量方法的重要性。
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引用次数: 0
Reply to "From link to cause: unanswered questions in the association between obstructive sleep apnea and hypertensive crises". 从联系到原因:OSA与高血压危象之间关系的未解之谜。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf330
Miguel Ángel Martinez-García
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引用次数: 0
Greater adherence to healthful dietary patterns is associated with lower insomnia risk in the Women's Health Initiative Observational Study. 在妇女健康倡议观察性研究中,更坚持健康的饮食模式与较低的失眠风险相关。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf316
Faris M Zuraikat, Bin Cheng, Sanja Jelic, Esra Tasali, Elizabeth M Cespedes Feliciano, Nazmus Saquib, Aladdin H Shadyab, Tyler J Titcomb, Linda G Snetselaar, Kathleen M Hayden, Ashley H Sanderlin, Doris P Molina-Henry, Erin S LeBlanc, Marie-Pierre St-Onge

Study objectives: Insomnia is highly prevalent among postmenopausal women and is associated with adverse health outcomes, highlighting the need to identify modifiable determinants of sleep. Diet and sleep are interrelated; however, few studies have evaluated longitudinal associations of complete dietary patterns with incident insomnia in postmenopausal women. This study evaluates prospective associations of established diet quality metrics with insomnia in the Women's Health Initiative Observational Study (WHI-OS).

Methods: The WHI-OS enrolled 93 676 postmenopausal women from across the United States. Alternate Mediterranean (aMed) diet and Dietary Approaches to Stop Hypertension (DASH) diet quality scores were quantified from a Food Frequency Questionnaire at baseline and dichotomized scores using a data-driven approach. Insomnia was assessed at baseline and Year 3 using the WHI Insomnia Rating Scale. Multivariable logistic regression models adjusted for sociodemographic, lifestyle, and health factors evaluated associations of baseline diet quality with incident insomnia and longitudinal insomnia status (stable/new onset insomnia vs. stable absence/remission of insomnia).

Results: Among women without insomnia at baseline (n = 50 644), good vs. poor diet quality at baseline was associated with lower risk for incident insomnia at 3-year follow-up (OR [95% CI], aMed: 0.925 [0.879-0.974], p=.003; DASH: 0.937 [0.891-0.985], p=.01]). In longitudinal analyses (n = 74 513), greater baseline adherence to aMed and DASH diets related to 6.3% (0.903-0.971) and 8.5% (0.883-0.948) lower odds, respectively, of having stable or new onset insomnia over 3 years (both p<.005).

Conclusions: Better diet quality predicts lower insomnia risk in postmenopausal women. Clinical trials are needed to determine whether strategies to enhance diet quality improve insomnia symptoms.

Clinical trial information: The Women's Health Initiative Observational Study is registered on Clinicaltrials.gov #NCT00000611: https://clinicaltrials.gov/study/NCT00000611.

研究目的:失眠症在绝经后妇女中非常普遍,并与不良健康结果相关,这突出了确定可改变的睡眠决定因素的必要性。饮食和睡眠是相互关联的;然而,很少有研究评估完整的饮食模式与绝经后妇女失眠症的纵向关联。本研究评估了妇女健康倡议观察性研究(WHI-OS)中已建立的饮食质量指标与失眠的前瞻性关联。方法:WHI-OS纳入了来自美国各地的93 676名绝经后妇女。地中海替代饮食(aMed)和预防高血压饮食方法(DASH)的饮食质量评分采用数据驱动的方法,从食物频率问卷的基线和二分得分中量化。在基线和第三年使用WHI失眠评定量表评估失眠症。校正了社会人口统计学、生活方式和健康因素的多变量logistic回归模型评估了基线饮食质量与偶发性失眠和纵向失眠状态(稳定/新发失眠vs稳定无失眠/失眠缓解)的关联。结果:在基线时无失眠的女性(n = 50644)中,基线时饮食质量好与3年随访时发生失眠的风险较低相关(OR [95% CI], aMed: 0.925 [0.879-0.974], p= 0.003; DASH: 0.937 [0.891-0.985], p= 0.01)。在纵向分析中(n = 74513),坚持阿米德和DASH饮食的基线水平越高,在3年内出现稳定或新发失眠的几率分别降低6.3%(0.903-0.971)和8.5%(0.883-0.948)(两者均为p)。结论:饮食质量越好,绝经后妇女失眠风险越低。需要临床试验来确定提高饮食质量的策略是否能改善失眠症状。临床试验信息:妇女健康倡议观察性研究已在Clinicaltrials.gov上注册#NCT00000611: https://clinicaltrials.gov/study/NCT00000611。
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引用次数: 0
Daily fluctuations in sleep duration and quality affect next-day processing speed performance in young and older adults: an intensive longitudinal everyday life study over 21 days. 每天睡眠时间和质量的波动会影响年轻人和老年人第二天的处理速度表现:一项为期21天的密集纵向日常生活研究。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf321
Johanna Schwarz, Malin Freidle, Wessel van Leeuwen, Jade Silfverling, Torbjörn Åkerstedt, Göran Kecklund

Study objectives: Knowledge about how day-to-day variations in sleep affect cognitive performance in real-world contexts is currently limited. This study investigated how daily fluctuations in sleep duration, efficiency, and quality affect next-day processing speed, and tested whether these associations differ between young and older adults.

Methods: A total of 158 young (18-30 years) and 168 older adults (55-75 years) participated in a 21-day intensive longitudinal design. Sleep duration and efficiency were measured using actigraphy, while sleep quality was assessed via sleep diaries. Processing speed was measured using a 60 s smartphone-based Digit Symbol Substitution Task, administered up to eight times per day. Multilevel mixed models tested the within- and between-person effects of sleep duration, sleep efficiency and sleep quality, as well as the effect of age group on processing speed.

Results: Within-person, a sleep duration shorter than their own average (p < .001), and a sleep quality poorer than their own average (p < .05) predicted poorer next-day performance. Between-person differences in sleep duration, sleep efficiency and sleep quality were not significantly associated with processing speed. Older adults showed worse performance than young adults (p < .001), but the effect of daily sleep fluctuations on performance did not significantly vary between age groups.

Conclusions: Daily fluctuations in sleep duration and sleep quality are linked to processing speed in young and older adults in real-world contexts. Results suggest that within-person, day-to-day variations in sleep may be more important than between-person differences. Maintaining an adequate sleep duration each day may help prevent cognitive impairments in daily functioning across age groups.

研究目标:关于日常睡眠变化如何影响现实环境中的认知表现的知识目前是有限的。这项研究调查了每天睡眠时间、效率和质量的波动如何影响第二天的处理速度,并测试了这些关联在年轻人和老年人之间是否有所不同。方法:158名年轻人(18-30岁)和168名老年人(55-75岁)参加了为期21天的密集纵向设计。睡眠时间和睡眠效率通过活动记录仪测量,睡眠质量通过睡眠日记评估。处理速度通过基于智能手机的60秒数字符号替换任务来测量,每天最多执行8次。多层次混合模型测试了睡眠持续时间、睡眠效率和睡眠质量对个体内部和个体之间的影响,以及年龄对处理速度的影响。结论:在现实世界中,年轻人和老年人的日常睡眠时间和睡眠质量的波动与处理速度有关。研究结果表明,人与人之间的差异可能比人与人之间的差异更重要。每天保持充足的睡眠时间可能有助于预防各年龄组的日常功能认知障碍。
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引用次数: 0
Predicting and assessing the impacts of risk factors for sleep bruxism in an apneic population using a nomogram. 使用Nomogram预测和评估呼吸暂停人群中睡眠磨牙症危险因素的影响。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf206
Silvana Alkmim de Miranda Diniz, Maria Letícia de B Massahud, Antônio Augusto da S Abreu, Regina de M Lopes, Luciana M Guedes, Karolina K de A Seraidarian, Vinícius de M Barros, Paulo I Seraidarian

Study objectives: This cross-sectional study aimed to develop a tool to predict sleep bruxism (SB) and estimate the impacts of risk factors found for SB in a personalized manner for each apneic patient.

Methods: A total of 321 individuals with apnea underwent full-night type 1 polysomnography. SB was assessed using electrodes applied to the masseter and chin muscles. Data collected included the apnea and hypopnea index, sleep arousal index, total sleep time, sex, and commonly used medications. SB was defined as experiencing more than two rhythmic masticatory muscle activity events per hour of sleep. Statistical analysis identified variables associated with SB, leading to the creation of a nomogram.

Results: Risk factors for SB in this population included the non-use of thyroid medications, the use of antidepressants, male sex, sleep arousals, total sleep time, and the apnea-hypopnea index. The nomogram enables prediction of SB and assessment of individualized impacts of SB risk factors for each patient.

Conclusions: When SB treatment is required in apneic individuals, fill in the nomogram allows for the assessment of important SB risk factors impacts and the targeting of personalized intervention strategies. SB interventions should involve a multidisciplinary team due to potential connections with systemic disorders. Future studies with longitudinal designs or RCT are essential to validate the nomogram. Statement of Significance When addressing the treatment of sleep bruxism in individuals with apnea, approaches should consider the impacts of some important related risk factors, identified through the individualized use of the nomogram-a novel tool developed by this research group. Additionally, when sleep bruxism is present, it's crucial to screen for associated conditions such as untreated thyroid disorders, obstructive sleep apnea, issues leading to the use of antidepressant medication, and frequent sleep disturbances. Dentists play an essential role in diagnosing potential systemic issues, contributing significantly by identifying signs and symptoms that manifest in the orofacial region.

研究目的:本横断面研究旨在开发一种预测睡眠磨牙症(SB)的工具,并以个性化的方式评估SB的危险因素的影响。方法:共321例呼吸暂停患者进行了通宵1型多导睡眠图检查。使用电极对咬肌和下巴肌肉进行SB评估。收集的数据包括呼吸暂停和呼吸不足指数、睡眠唤醒指数、总睡眠时间、性别和常用药物。SB被定义为每小时睡眠经历两次以上有节奏的咀嚼肌活动事件。统计分析确定了与SB相关的变量,从而创建了nomogram。结果:该人群中SB的危险因素包括未使用甲状腺药物、使用抗抑郁药、男性、睡眠唤醒、总睡眠时间和呼吸暂停低通气指数。该图能够预测SB和评估每个患者SB危险因素的个体化影响。结论:当需要对呼吸暂停患者进行SB治疗时,填写nomogram可以评估重要的SB危险因素的影响并确定个性化的干预策略。由于与全身性疾病的潜在联系,SB干预应涉及多学科团队。未来的纵向设计或RCT研究对于验证nomogram至关重要。
{"title":"Predicting and assessing the impacts of risk factors for sleep bruxism in an apneic population using a nomogram.","authors":"Silvana Alkmim de Miranda Diniz, Maria Letícia de B Massahud, Antônio Augusto da S Abreu, Regina de M Lopes, Luciana M Guedes, Karolina K de A Seraidarian, Vinícius de M Barros, Paulo I Seraidarian","doi":"10.1093/sleep/zsaf206","DOIUrl":"10.1093/sleep/zsaf206","url":null,"abstract":"<p><strong>Study objectives: </strong>This cross-sectional study aimed to develop a tool to predict sleep bruxism (SB) and estimate the impacts of risk factors found for SB in a personalized manner for each apneic patient.</p><p><strong>Methods: </strong>A total of 321 individuals with apnea underwent full-night type 1 polysomnography. SB was assessed using electrodes applied to the masseter and chin muscles. Data collected included the apnea and hypopnea index, sleep arousal index, total sleep time, sex, and commonly used medications. SB was defined as experiencing more than two rhythmic masticatory muscle activity events per hour of sleep. Statistical analysis identified variables associated with SB, leading to the creation of a nomogram.</p><p><strong>Results: </strong>Risk factors for SB in this population included the non-use of thyroid medications, the use of antidepressants, male sex, sleep arousals, total sleep time, and the apnea-hypopnea index. The nomogram enables prediction of SB and assessment of individualized impacts of SB risk factors for each patient.</p><p><strong>Conclusions: </strong>When SB treatment is required in apneic individuals, fill in the nomogram allows for the assessment of important SB risk factors impacts and the targeting of personalized intervention strategies. SB interventions should involve a multidisciplinary team due to potential connections with systemic disorders. Future studies with longitudinal designs or RCT are essential to validate the nomogram. Statement of Significance When addressing the treatment of sleep bruxism in individuals with apnea, approaches should consider the impacts of some important related risk factors, identified through the individualized use of the nomogram-a novel tool developed by this research group. Additionally, when sleep bruxism is present, it's crucial to screen for associated conditions such as untreated thyroid disorders, obstructive sleep apnea, issues leading to the use of antidepressant medication, and frequent sleep disturbances. Dentists play an essential role in diagnosing potential systemic issues, contributing significantly by identifying signs and symptoms that manifest in the orofacial region.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691609","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}
引用次数: 0
Sleep deprivation adds an "I" in "team". 睡眠剥夺在“团队”中增加一个“我”。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf314
Allison J Brager, Ankur Kumar Tanwar
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引用次数: 0
Detection of pleiotropic genetic factors and critical brain cell types linking insomnia with psychiatric disorders. 失眠与精神疾病相关的多效遗传因素和关键脑细胞类型的检测。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf317
Baiqiang Xue, Mingming Niu, Yuanchao Sun, Lin Wang, Chuanhong Wu, Yonghe Ding, Baokun Wang, Lixia Peng, Xiangyu Li, Haiyan Song, Wenli Yuan, Weiye Shi, Junting Liu, Chengwen Gao, Xiangzhong Zhao, Qian Zhang, Zhiqiang Li

Study objectives: Insomnia and psychiatric disorders are frequently comorbid and heritable, yet their shared genetic architecture and neurobiological mechanisms remain poorly understood. We investigated the genetic overlap, biological pathways, and brain cell types linking insomnia with 12 psychiatric disorders.

Methods: We analyzed genome-wide association study data from insomnia (Neff = 314,149) and 12 psychiatric disorders (Neff = 12,783-449,855). Genetic architecture was assessed using bivariate MiXeR. Shared loci were identified through conjunctional false discovery rate (conjFDR) and Association analysis based on SubSETs (ASSET). Gene-set enrichment was performed with MAGMA, and cell-type specificity was determined using SEISMIC analysis of single-cell RNA sequencing data from 36 brain cell types.

Results: Significant genetic correlations emerged between insomnia and seven psychiatric disorders: attention-deficit/hyperactivity disorder (ADHD), anorexia nervosa (AN), anxiety disorders (ANX), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ). Cross-trait analyses identified 70 shared genomic loci containing 97 candidate single nucleotide polymorphisms (SNPs), including novel associations: 7 with ADHD, 6 with AN, 3 with ANX, 3 with ASD, 5 with BD, 15 with MDD, and 19 with SCZ. Pathway enrichment analysis revealed GABAergic synapse signaling as a central mechanism. Cell-type analysis implicated eight cortical neuron subtypes-four GABAergic interneurons and four glutamatergic neurons. Of 71 genes mapped to shared loci, 33 showed significant expression in these neuronal populations.

Conclusions: Our findings reveal extensive shared genetic architecture between insomnia and psychiatric disorders, converging on cortical GABA-glutamate circuitry dysfunction. These results identify potential therapeutic targets for comorbid conditions and demonstrate how integrating genetic epidemiology with cellular neuroscience can elucidate transdiagnostic mechanisms underlying neuropsychiatric comorbidity, informing precision medicine approaches.

失眠和精神疾病表现出常见的共病性和遗传性,但它们共同的遗传结构和神经生物学机制尚不清楚。本研究利用全基因组关联研究(GWAS)数据调查了失眠与12种精神疾病之间的基因重叠、通路和脑细胞类型(失眠:Neff = 314,149;精神疾病:Neff = 12,783 - 449,855)。发现失眠与七种精神疾病之间存在显著的遗传相关性:注意缺陷/多动障碍(ADHD)、神经性厌食症(AN)、焦虑(ANX)、自闭症谱系障碍(ASD)、双相情感障碍(BD)、重度抑郁症(MD)和精神分裂症(SCZ)。跨性状分析显示了70个共享位点(97个候选snp),包括新的关联:7个与ADHD相关,6个与AN相关,3个与ANX相关,3个与ASD相关,5个与BD相关,15个与MD相关,19个与SCZ相关。通路富集强调gaba能突触信号是这些合并症的关键机制。36种脑细胞类型的单细胞RNA测序分析涉及8种皮质神经元亚型:4种gaba能中间神经元和4种谷氨酸能神经元。在71个被定位到共享位点的基因中,33个在这些细胞类型中表现出显著的表达,其中12个被优先考虑为潜在的治疗靶点。这些发现强调了失眠和精神疾病之间共同的遗传基础,以皮质gaba -谷氨酸回路为中心,并确定了减轻合并症的候选途径。这种综合方法将遗传流行病学与神经生物学联系起来,为跨诊断机制和精确治疗策略提供见解。
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引用次数: 0
The Hypno-PC: uncovering sleep dynamics through principal component analysis and hidden Markov modeling of electrophysiological signals. 催眠- pc:通过电生理信号的主成分分析和隐马尔可夫模型揭示睡眠动力学。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf164
Miriam Guendelman, Oren Shriki
<p><p>Manual sleep scoring segments sleep into discrete 30-s epochs (wake, non-rapid-eye-movement [NREM] 1-3, rapid-eye-movement [REM]), yet substantial evidence suggests that sleep unfolds as a continuous, microstate-rich process. Using a data-driven approach, we analyzed overnight high-density electroencephalography, electrooculography, electromyography, and electrocardiography recordings from 29 healthy adults (ANPHY-Sleep dataset). Signal-specific features from standard 30-s and finer 4-s epochs were compressed using principal component analysis (PCA). With the 30-s epochs, the first principal component (PC) (Hypno-PC; 42 per cent variance) closely tracked the hypnogram, while the extended PCA space (explaining 90 per cent variance) achieved sleep-stage separability comparable to the state-of-the-art YASA classifier. Furthermore, Hypno-PC emphasized continuous sleep dynamics, revealing a gradual descent into deep NREM sleep contrasted with abrupt transitions into REM or wakefulness. Independent component analysis (ICA) on the top PCs (n = 5) separated spindle-rich, slow-wave-dominant, and arousal-related processes. A Gaussian hidden Markov model (GHMM) fitted to ICA features identified four macrostates at 30-s resolution, aligning closely with canonical sleep stages (Kappa = 0.70). These macrostates required minimal labeling (<1% of epochs) and provided highly accurate estimates of sleep-onset latency. At a finer 4-s resolution, the GHMM resolved eleven microstates, distinguishing tonic from phasic REM, active from quiet wakefulness, and early- from late-night NREM subtypes. Three hub states-active wake, N1-like, and late slow-wave-rich-mediated most microstate transitions, highlighting structured continuity within sleep microstate architecture. This linear, interpretable PCA-ICA-GHMM framework bridges conventional sleep staging, continuous sleep dynamics, and detailed microstate structure, offering clinicians and researchers a scalable, objective tool for studying sleep architecture. Statement of Significance This study introduces a data-driven framework that bridges traditional sleep scoring and the intrinsic continuity of human sleep. Using high-density electroencephalography, electrooculography, electromyography, and electrocardiography, we derive a low-dimensional space that captures sleep architecture through unsupervised methods. The leading dimension, explaining most of the signal's variability, faithfully tracks the hypnogram while revealing gradual descents into deep non-rapid-eye-movement (NREM) and abrupt shifts into rapid-eye-movement (REM) or brief awakenings. We further reveal spindle-rich, slow-wave, and arousal components and identify data-driven states closely aligning with canonical sleep stages. At finer temporal resolution, we uncover structured microstates, distinguishing tonic versus phasic REM and early versus late NREM. Our interpretable principal component analysis-independent component analysis-Gaussian hidden Marko
手动睡眠评分将睡眠分为离散的30秒(清醒、非快速眼动1-3、快速眼动),但大量证据表明,睡眠是一个连续的、微状态丰富的过程。采用数据驱动的方法,我们分析了29名健康成人的夜间高密度EEG、EOG、EMG和ECG记录(ANPHY-Sleep数据集)。使用主成分分析(PCA)压缩标准30秒和精细4秒时期的信号特定特征。在30年代,第一主成分(Hypno-PC;42%方差)密切跟踪催眠图,而扩展的PCA空间(解释90%方差)实现了与最先进的YASA分类器相当的睡眠阶段可分离性。此外,Hypno-PC强调持续的睡眠动态,揭示了逐渐下降到深度非快速眼动睡眠与突然过渡到快速眼动或清醒的对比。对顶部主成分(n = 5)的独立成分分析(ICA)分离出主轴丰富、慢波为主和觉醒相关的过程。拟合ICA特征的高斯隐马尔可夫模型(GHMM)以30秒的分辨率识别出四种宏观状态,与标准睡眠阶段(Kappa = 0.70)密切一致。这些宏观状态需要最少的标签(
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引用次数: 0
Physical activity: a safe step toward better quality of life in narcolepsy. 体育活动:提高发作性睡病患者生活质量的安全步骤。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf293
Vladimir Tuka, Karel Šonka
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引用次数: 0
Functional implications of sleeping little in the wild. 野外少睡的功能含义。
IF 4.9 2区 医学 Q1 Medicine Pub Date : 2026-01-13 DOI: 10.1093/sleep/zsaf309
Niels C Rattenborg
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引用次数: 0
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