Nature and Science of Sleep最新文献

{"title":"Revolutionizing Sleep Science: A Narrative Review of the Historical Origins and Current Applications of Sleep Neuroimaging.","authors":"Daniel B Kay, Kara McRae Duraccio, Lars Michels, Francesca Siclari, Helmet T Karim, Elijah B Davis, Isaac J Wilkins","doi":"10.2147/NSS.S492585","DOIUrl":"10.2147/NSS.S492585","url":null,"abstract":"<p><p>Sleep neuroimaging is a subfield of sleep science that goes beyond polysomnography by combining neuroimaging techniques with validated sleep research methods to characterize sleep-wake states and investigate sleep-related processes across the 24-hour day. In this article, we review the historical advancements and applications that grew out of somnography leading to current sleep neuroimaging methods. We highlight the power of somnoimages to help visualize sleep research results and communicate complex information about sleep processes. We also suggest several ways in which applying neuroimaging during sleep has opened new avenues to more fully capture the nature of sleep, uncovered mechanisms of sleep-wake regulation, and increased understanding of sleep-related processes. Current applications and future directions of sleep neuroimaging are also discussed.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1079-1099"},"PeriodicalIF":3.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12124302/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199589","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":"Drug-Induced Sleep Endoscopy and Its Recent Clinical Applications in Combination with Other Procedures in Children: A Narrative Review.","authors":"Zhixian Xiao, Xing Li, Li Zhou, Xiaocui Long, Li Tian, Weiqi Li","doi":"10.2147/NSS.S498360","DOIUrl":"10.2147/NSS.S498360","url":null,"abstract":"<p><p>Drug-induced sleep endoscopy (DISE) is a dynamic diagnostic tool that is increasingly used to evaluate upper airway obstruction, especially in pediatric obstructive sleep apnea. Although initially established in adult populations, its pediatric application is expanding. Since 1990, more than 80 studies have explored various aspects of DISE, with a growing subset focusing specifically on its use in children, supported by advancements in sedation protocols. This narrative review summarizes the clinical indications for pediatric DISE, preparation protocols, and validated scoring systems, including the VOTE and Chan classifications. We also highlight the integration of DISE with adjunctive tools such as positive airway pressure titration, long-range optical coherence tomography, and dynamic magnetic resonance imaging for improved diagnostic accuracy and individualized treatment planning. These developments suggest that DISE, when standardized, holds strong potential to refine the management of complex pediatric airway disorders.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1067-1077"},"PeriodicalIF":3.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118482/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174097","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":"Implementation and Effects of an Online Intervention Designed to Promote Sleep During Early Infancy: A Randomized Trial.","authors":"Stephanie Anzman-Frasca, Juliana Goldsmith, Amanda B Hassinger, Jennifer S Savage, Vaishali Gupta","doi":"10.2147/NSS.S501807","DOIUrl":"10.2147/NSS.S501807","url":null,"abstract":"<p><strong>Objective: </strong>Examine the implementation and effects of an interactive online intervention designed to support new parents with their young infants' sleep.</p><p><strong>Design: </strong>First-time parents were enrolled when infants were ~6 weeks old and randomized to a sleep intervention or general baby care control group, with intervention content provided weekly between infant ages 2 to 4 months, primarily as brief videos and infographics in private online groups.</p><p><strong>Methods: </strong>Parents (n=74) completed online surveys at baseline (infant age ~6 weeks), midpoint (3 months), post-intervention (4 months), and follow-up (7 months), reporting on infant sleep duration and night wakings (via Brief Infant Sleep Questionnaire), as well as their own sleep duration (via Pittsburgh Sleep Quality Index), and parenting satisfaction and self-efficacy (via Perceived Sense of Competence Scale). Marginal models examined sleep intervention effects on infants' total and nightly sleep duration and night wakings, parent sleep duration, and parenting satisfaction and self-efficacy over time.</p><p><strong>Results: </strong>Eighty-one percent of parents joined the online groups. There was a group-by-time interaction predicting total infant sleep duration, with total sleep increasing in the intervention group relative to controls. Tests of least squares means showed that intervention group infants slept 1.4 hours longer than controls at age 4 months (p=0.004). There were no significant effects on infants' nighttime sleep, but daytime napping increased in the intervention group relative to controls (p=0.04). Group differences in parent sleep were not statistically significant but were in a consistent direction when compared with intervention impacts on infant sleep. Parenting satisfaction increased significantly in both groups.</p><p><strong>Conclusion: </strong>Findings demonstrate the potential of an interactive online sleep intervention to support first-time parents with early infant sleep. Parent perspectives support acceptability of the approach and highlight the potential for further development of this scalable online intervention and examination of its impacts on additional aspects of well-being.</p><p><strong>Clinical trial registration: </strong>The study was registered prior to participant enrollment at clinicaltrials.gov (NCT05322174). URL: https://clinicaltrials.gov/study/NCT05322174.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1037-1048"},"PeriodicalIF":3.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174099","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":"Construction and Validation of a Nomogram Model for Predicting Pulmonary Hypertension in Patients with Obstructive Sleep Apnea.","authors":"Rou Zhang, Zhijuan Liu, Ran Li, Li Ai, Yongxia Li","doi":"10.2147/NSS.S520758","DOIUrl":"10.2147/NSS.S520758","url":null,"abstract":"<p><strong>Purpose: </strong>Pulmonary hypertension (PH) is a common cardiovascular complication of obstructive sleep apnea (OSA), posing a significant threat to the health and life of patients with OSA. However, no clinical prediction model is currently available to evaluate the risk of PH in OSA patients. This study aimed to develop and validate a nomogram for predicting PH risk in OSA patients.</p><p><strong>Patients and methods: </strong>We collected medical records of OSA patients diagnosed by polysomnography (PSG) from January 2016 to June 2024. Transthoracic echocardiography (TTE) was performed to evaluate PH. A total of 511 OSA patients were randomly divided into training and validation sets for model development and validation. Potential predictive factors were initially screened using univariate logistic regression and Lasso regression. Independent predictive factors for PH risk were identified via multivariate logistic regression, and a nomogram model was constructed. Model performance was assessed in terms of discrimination, calibration, and clinical applicability.</p><p><strong>Results: </strong>Eight independent predictive factors were identified: age, recent pulmonary infection, coronary atherosclerotic heart disease (CHD), apnea-hypopnea index (AHI), mean arterial oxygen saturation (MSaO₂), lowest arterial oxygen saturation (LSaO₂), alpha-hydroxybutyrate dehydrogenase (α-HBDH), and fibrinogen (FIB). The nomogram model demonstrated good discriminative ability (AUC = 0.867 in the training set, AUC = 0.849 in the validation set). Calibration curves and decision curve analysis (DCA) also indicated good performance. Based on this model, a web-based nomogram tool was developed.</p><p><strong>Conclusion: </strong>We developed and validated a stable and practical web-based nomogram for predicting the probability of PH in OSA patients, aiding clinicians in identifying high-risk patients for early diagnosis and treatment.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1049-1066"},"PeriodicalIF":3.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174095","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":"Trends and Emerging Research Areas in Postoperative Sleep Disturbances: A Bibliometric Analysis.","authors":"Wei Du, Xi Qiao, Wei Liu, Chao Li, Huiqun Jia","doi":"10.2147/NSS.S515862","DOIUrl":"10.2147/NSS.S515862","url":null,"abstract":"<p><strong>Purpose: </strong>Postoperative sleep disturbance (PSD) is highly prevalent and significantly affects patient prognosis. Studies on PSD have received increasing attention, resulting in a surge in related publications. However, comprehensive analyses that can objectively reflect changes in scientific knowledge and identify the latest research trends in this field are lacking.</p><p><strong>Methods: </strong>Articles and reviews focusing on PSD were extracted from the Web of Science Core Collection database. Bibliometrix, VOSviewer, and CiteSpace were used to conduct bibliometric analysis and map the visualization network.</p><p><strong>Results: </strong>A total of 1,559 publications were extracted from the database, including 1,370 articles and 189 reviews. There has been a consistent increase in the number of publications, with an average annual growth rate of 16.56%, led by the United States in terms of research output. Notably, the University of Toronto was a prominent contributor. Co-cited reference network analysis revealed 17 well-structured networks (Q = 0.8174, S = 0.9441). Six major research trends were identified: mechanisms of sleep related to anesthesia, role of melatonin in sleep disturbances, pain management strategies, effects of analgesic drugs, impact of dexmedetomidine on sleep quality, and postoperative recovery. Keywords analysis highlighted the emerging roles of dexmedetomidine, neuroinflammation, and acupuncture.</p><p><strong>Conclusion: </strong>Bibliometric analysis provides a helpful summary of postoperative sleep disturbances that have changed over time, by identifying knowledge points and developing trends. Future research should focus on integrating multidisciplinary approaches, exploring neuroinflammation, evaluating non-pharmacological interventions and long-term outcomes, which will advance scientific knowledge, enhance clinical practice, and improve patient outcomes and quality of life.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1021-1035"},"PeriodicalIF":3.0,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12109035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144160510","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":"The Association of Body Mass Index and Adiposity-Estimating Equations with Measures of Obstructive Sleep Apnea Severity: A Cross-Sectional Study.","authors":"Danny Wadden, Mysa Saad, George Chandy, Shawn D Aaron, Zhiwei Gao, Jamie Farrell, Elham Sabri, Bashour Yazji, Tetyana Kendzerska","doi":"10.2147/NSS.S504426","DOIUrl":"10.2147/NSS.S504426","url":null,"abstract":"<p><strong>Background and purpose: </strong>Obesity, a risk factor for obstructive sleep apnea (OSA), is usually estimated by body mass index (BMI). However, other adiposity-estimating equations may better capture variations in fat distribution. This study assessed the relationship between OSA severity and 15 adiposity-estimating equations, compared to BMI, with subgroup analyses by sex and age (<50 vs ≥50).</p><p><strong>Patients and methods: </strong>We conducted a cross-sectional cohort study using data from 5021 consecutive adults who underwent a Level 1 polysomnography (2015-2017) in a large academic sleep center in Ottawa, Canada. We assessed correlations between adiposity measures and the apnea-hypopnea index (AHI) and examined discriminative ability for moderate-to-severe (AHI ≥15/h) and severe OSA (AHI >30/h) using univariate logistic regressions.</p><p><strong>Results: </strong>The mean age was 49.5 years, 46.6% were women; the mean BMI was 30.0 kg/m² and 12.7% had severe OSA. All adiposity equations showed negligible (Pearson r 0.0 to ±0.3) to low (Pearson r ± 0.30 to 0.50) statistically significant correlations with AHI, with many of the equations having a marginally stronger correlation coefficient than BMI, in total and subgroup analysis. Discriminative ability for severe OSA was generally low, with c-indices ranging from 0.52 to 0.67 in the overall sample. However, in females under 50, several equations (eg, Gallagher 2000, Deurenberg 1991 and 1998, ECORE BF) reached excellent discriminative ability (c-indices 0.81), including BMI (c-index 0.80). This pattern was not observed in other subgroups.</p><p><strong>Conclusion: </strong>In this clinical cohort, BMI was associated poorly with AHI; however, the other equations did not outperform BMI. Moreover, BMI demonstrated poor discriminative ability for moderate/severe and severe OSA, with none of the other equations performing better in this context. Notable subgroup differences-particularly among younger females-suggest that tailoring screening strategies by age and sex may improve risk stratification and support refining obesity-based screening approaches.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1003-1019"},"PeriodicalIF":3.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12106913/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144160505","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":"Letter to the Editor Regarding: \"Association between Metabolic Score for Insulin Resistance (METS-IR) and Risk of Obstructive Sleep Apnea: Analysis of NHANES Database and a Chinese Cohort\" [Letter].","authors":"Qing-Qing Shan, Yangke Li","doi":"10.2147/NSS.S536885","DOIUrl":"10.2147/NSS.S536885","url":null,"abstract":"","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"987-988"},"PeriodicalIF":3.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105659/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144151142","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":"Altered Structure-Function Coupling Associated with Attention Decline in Shift Work Disorder.","authors":"Ziyao Wu, Sitong Feng, Kuangshi Li, Linrui Dong, Liang Zhang, Yanzhe Ning, Dongqing Yin","doi":"10.2147/NSS.S503303","DOIUrl":"10.2147/NSS.S503303","url":null,"abstract":"<p><strong>Introduction: </strong>Previous studies on shift work disorder (SWD) have revealed altered functional and structural brain networks underlying attention decline. However, changes in structure-function coupling (SFC) and their relationship with attention decline remain unknown. This study aimed to examine the role of changed SFC in abnormal attentional network function in SWD.</p><p><strong>Methods: </strong>Thirty-four patients with SWD and thirty-two healthy controls were recruited. All participants underwent resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) scans. All participants underwent an attentional network test to evaluate their functions. Finally, Pearson's correlation analysis was conducted to analyze the association between aberrant attentional network function and altered structural and functional connectivity (SC-FC) coupling in patients with SWD.</p><p><strong>Results: </strong>Compared to healthy subjects, decreased alerting and executive functions were found in patients with SWD. In addition, we observed decreased SC-FC coupling in patients with SWD, specifically in the left anterior cingulate gyrus (T = -3.6449, <i>P</i> = 0.0003), central opercular cortex (T = -3.7187, <i>P</i> = 0.0002), middle frontal gyrus (T = -3.8342, <i>P</i> = 0.0001), and parietal operculum cortex (T = -3.6121, <i>P</i> = 0.0003), compared with healthy subjects. Better altering performance was significantly associated with lower SC-FC coupling in the anterior cingulate gyrus of patients with SWD (r = -0.51, <i>P</i> = 0.002).</p><p><strong>Discussion: </strong>Our findings unravel that the decreased SC-FC coupling in the anterior cingulate gyrus may contribute to the impaired altering network function in SWD, which can further understand the neural mechanisms of impaired attention in SWD and inform a potentially therapeutic intervention for SWD patients.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"989-1001"},"PeriodicalIF":3.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103880/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144143203","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":"Elevated Serum Level of Krebs von den Lungen-6 Predicts Death in Patients With Comorbid Idiopathic Pulmonary Fibrosis and Obstructive Sleep Apnea.","authors":"Fei Li, Jing Geng, Hehe Zhang, Bingbing Xie, Hui Zhang, Jiang Xie, Huaping Dai","doi":"10.2147/NSS.S506975","DOIUrl":"10.2147/NSS.S506975","url":null,"abstract":"<p><strong>Background: </strong>Obstructive sleep apnea (OSA) is prevalent in patients with idiopathic pulmonary fibrosis (IPF). This study evaluated the prognostic significance of Krebs von den Lungen-6 (KL-6) levels in patients with comorbid OSA and IPF.</p><p><strong>Methods: </strong>This retrospective research included 115 individuals diagnosed with IPF between January 2015 and December 2020, all of whom completed sleep tests and underwent measurement of serum KL-6 levels during hospitalization. To ascertain the risk factors associated with all-cause death, a multivariate Cox regression model was employed, adjusted for confounding variables of age, sex, and pulmonary function.</p><p><strong>Results: </strong>During the 40-month follow-up, 24 (20.9%) deaths occurred, with 17 (28.8%) in the OSA group and 7 (12.5%) in the non-OSA group. Patients with OSA had higher baseline KL-6 levels than did those without OSA. Both apnea-hypopnea index (hazard ratio [HR] = 1.023, 95% confidence interval [CI] 1.000-1.047, <i>p</i> = 0.049) and serum KL-6 levels (HR = 1.001, 95% CI 0.999-1.002, <i>p</i> = 0.032) were identified as independent risk factors for death in multivariable Cox analysis. For the overall cohort of patients with IPF, those with a KL-6 levels ≥1200 U/mL had a higher risk of death in both univariate analysis (HR = 5.694, 95% CI 1.945-16.669, <i>p</i> = 0.002) and adjusted models (HR = 5.245, 95% CI 1.775-15.494, <i>p</i> = 0.003). In the subgroup analysis, the independent prognostic significance of KL-6 levels ≥1200 U/mL for death was evident only in IPF patients with concurrent OSA (HR = 4.887, 95% CI 1.082-22.067, <i>p</i> = 0.039), whereas it was not observed yet in IPF patients without OSA (HR = 4.652, 95% CI 0.616-35.131, <i>p</i> = 0.136).</p><p><strong>Conclusion: </strong>KL-6 level is of prognostic value in patients with comorbid IPF and OSA. These findings underscore the need for sleep tests and KL-6 measurement for IPF patients at high risk.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"975-985"},"PeriodicalIF":3.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144143207","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":"Machine Learning Classification Based on Individual Whole-Brain Functional Connectivity in Male OSA Patients.","authors":"Haijun Li, Jin Hong, Yudong Zhang, Lifeng Li, Ting Long, Ling Huang, Yumen Liu, Zhijiang Wan, Dechang Peng","doi":"10.2147/NSS.S504512","DOIUrl":"10.2147/NSS.S504512","url":null,"abstract":"<p><strong>Purpose: </strong>Previous studies have shown altered paired brain functional connectivity (FC) in obstructive sleep apnea (OSA) patients, linked to cognitive impairment. This study utilized individual FC analysis to investigate the distinctive FC characteristics in OSA and evaluate their classification efficiency.</p><p><strong>Methods: </strong>We included 82 moderate to severe OSA patients [41 OSA with normal cognition (OSA-NC), 41 OSA with mild cognitive impairments (OSA-MCI)] and 84 healthy control (HC). Resting-state fMRI data and clinical scale data were collected. Individual FC was derived using multi-task learning-based sparse convex alternating structure optimization, with feature selection via the least absolute shrinkage and selection operator. Support vector machine classifiers were used for OSA vs HC and OSA-NC vs OSA-MCI classification. The top 10 FC features contributing to classification were analyzed for group differences. A significance level of <i>p</i> < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>The study results showed that individual FC achieved higher classification accuracy than traditional Pearson-based FC (OSA vs HC: 91.8% vs 79.5%; OSA-NC vs OSA-MCI: 81.3% vs 63.8%). The top 10 individual-specific FC networks contributing to classification were mainly located in the default mode network, attention network, showing significant inter-group differences in connectivity strength between the two groups.</p><p><strong>Conclusion: </strong>This study identified static individualized FC characteristics in OSA patients with varying cognitive impairments. Based on individual FC, the classification accuracy of OSA-NC and OSA-MCI was significantly improved, the individual FC may serve as a potential neuroimaging marker for predicting OSA-MCI, providing an individual clinical diagnosis and treatment evaluation.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"959-973"},"PeriodicalIF":3.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12090846/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111201","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}