Suppr超能文献

睡眠倾向的客观指标:多次睡眠潜伏期试验与莱比锡警觉算法的比较

Objective markers for sleep propensity: comparison between the Multiple Sleep Latency Test and the Vigilance Algorithm Leipzig.

作者信息

Olbrich Sebastian, Fischer Marie M, Sander Christian, Hegerl Ulrich, Wirtz Hubert, Bosse-Henck Andrea

机构信息

Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.

Integrated Research and Treatment Centre for Adiposity Diseases, University of Leipzig, Leipzig, Germany.

出版信息

J Sleep Res. 2015 Aug;24(4):450-7. doi: 10.1111/jsr.12290. Epub 2015 Mar 9.

Abstract

The regulation of wakefulness is important for high-order organisms. Its dysregulation is involved in the pathomechanism of several psychiatric disorders. Thus, a tool for its objective but little time-consuming assessment would be of importance. The Vigilance Algorithm Leipzig allows the objective measurement of sleep propensity, based on a single resting state electroencephalogram. To compare the Vigilance Algorithm Leipzig with the standard for objective assessment of excessive daytime sleepiness, a four-trial Multiple Sleep Latency Test in 25 healthy subjects was conducted. Between the first two trials, a 15-min, 25-channel resting electroencephalogram was recorded, and Vigilance Algorithm Leipzig was used to classify the sleep propensity (i.e., type of vigilance regulation) of each subject. The results of both methods showed significant correlations with the Epworth Sleepiness Scale (ρ = -0.70; ρ = 0.45, respectively) and correlated with each other (ρ = -0.54). Subjects with a stable electroencephalogram-vigilance regulation yielded significant increased sleep latencies compared with an unstable regulation (multiple sleep latency 898.5 s versus 549.9 s; P = 0.03). Further, Vigilance Algorithm Leipzig classifications allowed the identification of subjects with average sleep latencies <6 min with a sensitivity of 100% and a specificity of 77%. Thus, Vigilance Algorithm Leipzig provides similar information on wakefulness regulation in comparison to the much more cost- and time-consuming Multiple Sleep Latency Test. Due to its high sensitivity and specificity for large sleep propensity, Vigilance Algorithm Leipzig could be an effective and reliable alternative to the Multiple Sleep Latency Test, for example for screening purposes in large cohorts, where objective information about wakefulness regulation is needed.

摘要

觉醒调节对高等生物很重要。其调节异常涉及多种精神障碍的发病机制。因此,一种客观且耗时少的评估工具将很重要。莱比锡警觉算法可基于单次静息态脑电图对睡眠倾向进行客观测量。为了将莱比锡警觉算法与过度日间嗜睡客观评估的标准进行比较,对25名健康受试者进行了四次试验的多次睡眠潜伏期测试。在前两次试验之间,记录了15分钟、25通道的静息脑电图,并使用莱比锡警觉算法对每个受试者的睡眠倾向(即警觉调节类型)进行分类。两种方法的结果均与爱泼华嗜睡量表显著相关(分别为ρ = -0.70;ρ = 0.45),且相互之间相关(ρ = -0.54)。脑电图-警觉调节稳定的受试者与不稳定的受试者相比,睡眠潜伏期显著延长(多次睡眠潜伏期分别为898.5秒和549.9秒;P = 0.03)。此外,莱比锡警觉算法分类能够识别平均睡眠潜伏期<6分钟的受试者,其灵敏度为100%,特异性为77%。因此,与耗时费力得多的多次睡眠潜伏期测试相比,莱比锡警觉算法在觉醒调节方面提供了类似的信息。由于其对大睡眠倾向具有高灵敏度和特异性,莱比锡警觉算法可能是多次睡眠潜伏期测试的一种有效且可靠的替代方法,例如用于需要有关觉醒调节客观信息的大型队列筛查。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验