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快速眼动睡眠行为障碍的肌电图分析

[Electromyography Analysis of Rapid Eye Movement Sleep Behavior Disorder].

作者信息

Nakano Natsuko, Kinoshita Fumiya, Takada Hiroki, Nakayama Meiho

机构信息

Good Sleep Center Nagoya City University Hospital.

Graduate School of Information Science, Nagoya University.

出版信息

Nihon Eiseigaku Zasshi. 2018;73(1):27-33. doi: 10.1265/jjh.73.27.

Abstract

Polysomnography (PSG), which records physiological phenomena including brain waves, breathing status, and muscle tonus, is useful for the diagnosis of sleep disorders as a gold standard. However, measurement and analysis are complex for several specific sleep disorders, such as rapid eye movement (REM) sleep behavior disorder (RBD). Usually, brain waves during REM sleep indicate an awakening pattern under relaxed conditions of skeletal and antigravity muscles. However, these muscles are activated during REM sleep when patients suffer from RBD. These activated muscle movements during REM, so-called REM without atonia (RWA) recorded by PSG, may be related to a neurodegenerative disease such as Parkinson's disease. Thus, careful analysis of RWA is significant not only physically, but also clinically. Commonly, manual viewing measurement analysis of RWA is time-consuming. Therefore, quantitative studies on RWA are rarely reported. A software program, developed from Microsoft Office Excel, was used to semiautomatically analyze the RWA ratio extracted from PSG to compare with manual viewing measurement analysis. In addition, a quantitative muscle tonus study was carried out to evaluate the effect of medication on RBD patients. Using this new software program, we were able to analyze RWA on the same cases in approximately 15 min as compared with 60 min in the manual viewing measurement analysis. This software program can not only quantify RWA easily but also identify RWA waves for either phasic or tonic bursts. We consider that this software program will support physicians and scientists in their future research on RBD. We are planning to offer this software program for free to physicians and scientists.

摘要

多导睡眠图(PSG)可记录包括脑电波、呼吸状态和肌肉张力在内的生理现象,作为诊断睡眠障碍的金标准很有用。然而,对于几种特定的睡眠障碍,如快速眼动(REM)睡眠行为障碍(RBD),测量和分析很复杂。通常,REM睡眠期间的脑电波表明在骨骼肌和抗重力肌肉放松的情况下的觉醒模式。然而,当患者患有RBD时,这些肌肉在REM睡眠期间会被激活。PSG记录的REM期间这些被激活的肌肉运动,即所谓的无张力性REM(RWA),可能与帕金森病等神经退行性疾病有关。因此,仔细分析RWA不仅在生理上,而且在临床上都很重要。通常,手动查看测量分析RWA很耗时。因此,关于RWA的定量研究很少报道。一个由Microsoft Office Excel开发的软件程序被用于半自动分析从PSG中提取的RWA比率,以便与手动查看测量分析进行比较。此外,还进行了定量肌肉张力研究,以评估药物对RBD患者的影响。使用这个新的软件程序,我们能够在大约15分钟内分析相同病例的RWA,而手动查看测量分析则需要60分钟。这个软件程序不仅可以轻松量化RWA,还可以识别相位或紧张性爆发的RWA波。我们认为这个软件程序将在未来支持医生和科学家对RBD的研究。我们计划向医生和科学家免费提供这个软件程序。

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