Rongcui Sui , Jie Li , Yunhan Shi , Shizhen Yuan , Xingjun Wang , Wen Xu , Ming Xia , Yanru Li , Demin Han
{"title":"K-复合体指标预测中青年阻塞性睡眠呼吸暂停患者的精神运动警觉性:一项依赖于严重程度的神经生物标志物研究","authors":"Rongcui Sui , Jie Li , Yunhan Shi , Shizhen Yuan , Xingjun Wang , Wen Xu , Ming Xia , Yanru Li , Demin Han","doi":"10.1016/j.sleep.2025.106750","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>K-complexes, electroencephalographic markers of sleep protective mechanisms, may reflect cognitive impairment in obstructive sleep apnea (OSA). We investigated whether K-complex metrics (frequency, density, duration, amplitude) independently predict psychomotor vigilance in patients with OSA.</div></div><div><h3>Methods</h3><div>In 140 young and middle-aged adults, K-complexes were automatically detected via a U-Net neural network analyzing F3-M2 electroencephalogram recording. K-complex metrics, including frequency (Hz), density (events/min), duration (sec) and amplitude (μV), were measured. Psychomotor vigilance was assessed via standardized Psychomotor Vigilance Test (PVT). Hierarchical regression models evaluated associations between K-complex metrics and psychomotor vigilance, adjusted for age, education, and apnea-hypopnea index (AHI).</div></div><div><h3>Results</h3><div>K-complex metrics showed severity-dependent associations with psychomotor vigilance in young and middle-aged adults with OSA, meaning the nature of these associations predictably changed based on OSA severity. In patients with mild/moderate OSA, lower K-complex frequency (p = 0.011) was associated with better psychomotor vigilance. In patients with severe OSA, higher K-complex density (p = 0.019) and amplitude (p = 0.030) were independently associated with better psychomotor vigilance. K-complex metrics explained 15.2 % and 23.5 % additional variance in PVT Lapses in patients with mild/moderate and severe OSA, respectively. Age, education, and AHI further modulated psychomotor vigilance, particularly in patients with mild/moderate OSA.</div></div><div><h3>Conclusions</h3><div>K-complex density, frequency, and amplitude serve as severity-dependent neural biomarkers of psychomotor vigilance in young and middle-aged adults with OSA. These findings suggest the role of sleep metrics in psychomotor vigilance and highlight potential electrophysiological targets for intervention.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"135 ","pages":"Article 106750"},"PeriodicalIF":3.4000,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"K- complex metrics predict psychomotor vigilance in young and middle-aged adults with obstructive sleep apnea: A severity-dependent neural biomarker study\",\"authors\":\"Rongcui Sui , Jie Li , Yunhan Shi , Shizhen Yuan , Xingjun Wang , Wen Xu , Ming Xia , Yanru Li , Demin Han\",\"doi\":\"10.1016/j.sleep.2025.106750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>K-complexes, electroencephalographic markers of sleep protective mechanisms, may reflect cognitive impairment in obstructive sleep apnea (OSA). We investigated whether K-complex metrics (frequency, density, duration, amplitude) independently predict psychomotor vigilance in patients with OSA.</div></div><div><h3>Methods</h3><div>In 140 young and middle-aged adults, K-complexes were automatically detected via a U-Net neural network analyzing F3-M2 electroencephalogram recording. K-complex metrics, including frequency (Hz), density (events/min), duration (sec) and amplitude (μV), were measured. Psychomotor vigilance was assessed via standardized Psychomotor Vigilance Test (PVT). Hierarchical regression models evaluated associations between K-complex metrics and psychomotor vigilance, adjusted for age, education, and apnea-hypopnea index (AHI).</div></div><div><h3>Results</h3><div>K-complex metrics showed severity-dependent associations with psychomotor vigilance in young and middle-aged adults with OSA, meaning the nature of these associations predictably changed based on OSA severity. In patients with mild/moderate OSA, lower K-complex frequency (p = 0.011) was associated with better psychomotor vigilance. In patients with severe OSA, higher K-complex density (p = 0.019) and amplitude (p = 0.030) were independently associated with better psychomotor vigilance. K-complex metrics explained 15.2 % and 23.5 % additional variance in PVT Lapses in patients with mild/moderate and severe OSA, respectively. Age, education, and AHI further modulated psychomotor vigilance, particularly in patients with mild/moderate OSA.</div></div><div><h3>Conclusions</h3><div>K-complex density, frequency, and amplitude serve as severity-dependent neural biomarkers of psychomotor vigilance in young and middle-aged adults with OSA. These findings suggest the role of sleep metrics in psychomotor vigilance and highlight potential electrophysiological targets for intervention.</div></div>\",\"PeriodicalId\":21874,\"journal\":{\"name\":\"Sleep medicine\",\"volume\":\"135 \",\"pages\":\"Article 106750\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389945725004253\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389945725004253","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
K- complex metrics predict psychomotor vigilance in young and middle-aged adults with obstructive sleep apnea: A severity-dependent neural biomarker study
Background
K-complexes, electroencephalographic markers of sleep protective mechanisms, may reflect cognitive impairment in obstructive sleep apnea (OSA). We investigated whether K-complex metrics (frequency, density, duration, amplitude) independently predict psychomotor vigilance in patients with OSA.
Methods
In 140 young and middle-aged adults, K-complexes were automatically detected via a U-Net neural network analyzing F3-M2 electroencephalogram recording. K-complex metrics, including frequency (Hz), density (events/min), duration (sec) and amplitude (μV), were measured. Psychomotor vigilance was assessed via standardized Psychomotor Vigilance Test (PVT). Hierarchical regression models evaluated associations between K-complex metrics and psychomotor vigilance, adjusted for age, education, and apnea-hypopnea index (AHI).
Results
K-complex metrics showed severity-dependent associations with psychomotor vigilance in young and middle-aged adults with OSA, meaning the nature of these associations predictably changed based on OSA severity. In patients with mild/moderate OSA, lower K-complex frequency (p = 0.011) was associated with better psychomotor vigilance. In patients with severe OSA, higher K-complex density (p = 0.019) and amplitude (p = 0.030) were independently associated with better psychomotor vigilance. K-complex metrics explained 15.2 % and 23.5 % additional variance in PVT Lapses in patients with mild/moderate and severe OSA, respectively. Age, education, and AHI further modulated psychomotor vigilance, particularly in patients with mild/moderate OSA.
Conclusions
K-complex density, frequency, and amplitude serve as severity-dependent neural biomarkers of psychomotor vigilance in young and middle-aged adults with OSA. These findings suggest the role of sleep metrics in psychomotor vigilance and highlight potential electrophysiological targets for intervention.
期刊介绍:
Sleep Medicine aims to be a journal no one involved in clinical sleep medicine can do without.
A journal primarily focussing on the human aspects of sleep, integrating the various disciplines that are involved in sleep medicine: neurology, clinical neurophysiology, internal medicine (particularly pulmonology and cardiology), psychology, psychiatry, sleep technology, pediatrics, neurosurgery, otorhinolaryngology, and dentistry.
The journal publishes the following types of articles: Reviews (also intended as a way to bridge the gap between basic sleep research and clinical relevance); Original Research Articles; Full-length articles; Brief communications; Controversies; Case reports; Letters to the Editor; Journal search and commentaries; Book reviews; Meeting announcements; Listing of relevant organisations plus web sites.