Epilepsy Research Centre, Department of Medicine, University of Melbourne, Victoria, Australia.
Sleep. 2009 Dec;32(12):1637-44. doi: 10.1093/sleep/32.12.1637.
To describe the semiological features of NREM arousal parasomnias in detail and identify features that can be used to reliably distinguish parasomnias from nocturnal frontal lobe epilepsy (NFLE).
Systematic semiologial evaluation of parasomnias and NFLE seizures recorded on video-EEG monitoring.
120 events (57 parasomnias, 63 NFLE seizures) from 44 subjects (14 males). Interventions. The presence or absence of 68 elemental clinical features was determined in parasomnias and NFLE seizures. Qualitative analysis of behavior patterns and ictal EEG was undertaken. Statistical analysis was undertaken using established techniques.
Elemental clinical features strongly favoring parasomnias included: interactive behavior, failure to wake after event, and indistinct offset (all P < 0.001). Cluster analysis confirmed differences in both the frequency and combination of elemental features in parasomnias and NFLE. A diagnostic decision tree generated from these data correctly classified 94% of events. While sleep stage at onset was discriminatory (82% of seizures occurred during stage 1 or 2 sleep, with 100% of parasomnias occurring from stage 3 or 4 sleep), ictal EEG features were less useful. Video analysis of parasomnias identified three principal behavioral patterns: arousal behavior (92% of events); non-agitated motor behavior (72%); distressed emotional behavior (51%).
Our results broadly support the concept of confusion arousals, somnambulism and night terrors as prototypical behavior patterns of NREM parasomnias, but as a hierarchical continuum rather than distinct entities. Our observations provide an evidence base to assist in the clinical diagnosis of NREM parasomnias, and their distinction from NFLE seizures, on semiological grounds.
详细描述非快速眼动(NREM)觉醒性睡眠障碍的症状学特征,并确定可用于可靠区分睡眠障碍和夜间额叶癫痫(NFLE)的特征。
对视频脑电图监测记录的睡眠障碍和 NFLE 发作进行系统的症状学评估。
44 名受试者(14 名男性)的 120 次事件(57 次睡眠障碍,63 次 NFLE 发作)。
确定睡眠障碍和 NFLE 发作中是否存在 68 种基本临床特征。对行为模式和发作期脑电图进行定性分析。使用既定技术进行统计分析。
强烈支持睡眠障碍的基本临床特征包括:互动行为、发作后无法醒来和发作结束不清晰(均 P < 0.001)。聚类分析证实了睡眠障碍和 NFLE 中基本特征的频率和组合存在差异。根据这些数据生成的诊断决策树正确分类了 94%的事件。虽然发作起始时的睡眠阶段具有鉴别性(82%的发作发生在 1 或 2 期睡眠,100%的睡眠障碍发生在 3 或 4 期睡眠),但发作期脑电图特征的作用较小。对睡眠障碍的视频分析确定了三种主要的行为模式:觉醒行为(92%的事件);非激动性运动行为(72%);苦恼情绪行为(51%)。
我们的结果广泛支持混乱觉醒、梦游和夜惊作为 NREM 睡眠障碍的典型行为模式的概念,但作为一个层次连续体而不是不同的实体。我们的观察结果为基于症状学区分 NREM 睡眠障碍和 NFLE 发作提供了证据基础。