Quantification of electromyographic activity during sleep: A phasic electromyographic metric
Quantification of electromyographic activity during sleep: A phasic electromyographic metric
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DOI：
10.1097/01.wnp.0000192303.14946.fc
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发表时间：
2006-02-01
影响因子：
2.4
通讯作者：
Rye, DB
中科院分区：
文献类型：
--
作者：
Bliwise, DL;He, LQ;Rye, DB
肌电图（EMG）活动的记录被认为是定义快速眼动（REM）睡眠和量化睡眠中某些类型的运动（如睡眠中的周期性腿部运动（PLMS））的必要条件。然而，除了这些目的之外，常规的肌电活动分析很少进行，也很少量化，而且缺乏规范的数据。在这项研究中，作者检查了系统应用视觉评分系统记录五个不同肌肉群（颏下肌、左/右胫骨前肌、左/右肱桡肌）的短时间（约100毫秒）相肌电图活动，这些肌肉群来自两个不同年龄组的正常受试者和一组帕金森病患者。这种活性的定量标记为相肌电测量（PEM）。PEM数据分别根据快速眼动和非快速眼动睡眠进行编译。结果表明，PEM是所有肌肉群快速眼动睡眠的正常组成部分，更具体地说，在健康年轻人的2.5秒间隔的快速眼动睡眠中，PEM约占5% （SD = 3.1%）。它在帕金森病患者中发生率更高，其在腿部的量化可能在一定程度上受到PLMS存在的影响。PEM可能是一个有用的度量，可以用数字技术进行量化。它可能与识别神经退行性疾病特别相关，其中中脑多巴胺能通路的去抑制导致睡眠期间过度的运动放电。
Recording of electromyographic (EMG) activity is considered essential for defining rapid eye movement (REM) sleep and for quantifying certain types of movements in sleep, such as periodic leg movements in sleep (PLMS). However, routine analyses of EMG activity beyond such purposes is performed rarely and quantified seldom, and normative data are lacking. In this study, the authors examined systematic application of a visual scoring system for short-duration (approximately 100-millisecond) phasic EMG activity recorded from five different muscle groups (submentalis, left/right anterior tibialis, left/right brachioradialis) recorded from two different age groups of normal Subjects and a group of patients with Parkinson's disease. Quantification of this activity was labeled as a phasic electromyographic metric (PEM). PEM data were compiled separately by REM and non-REM sleep. Results indicated that PEM is a normal part of REM sleep in all muscle groups, more specifically constituting about 5% (SD = 3.1%) of 2.5-second intervals of REM sleep in the mentalis in healthy young adults. It occurs at higher rates in patients with Parkinson's disease, and its quantification in the legs may be influenced to some degree by the presence of PLMS. PEM may be a useful metric amenable to quantification with digital techniques. It may have particular relevance for the identification of neurodegenerative conditions in which disinhibition of midbrain dopaminergic pathways results in excessive motor discharge during sleep.