发作性睡病发作时动态视频-脑电图-肌电图监测与分析

Q4 Medicine

中国现代神经疾病杂志 Pub Date : 2017-09-25 DOI:10.3969/CJCNN.V17I9.1657

Bei Huang, Kun Chen, Zongwen Wang, Zhong-xin Zhao, Huijuan Wu

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引用次数: 0

摘要

目的通过动态视频综合分析猝倒过程中的临床和神经电生理特点？EEG？EMG监测。方法选择6例发作性睡病1型典型猝倒患者，其中2例诊断为猝倒状态。所有患者均接受了多导睡眠图（PSG）和日间多重睡眠潜伏期测试（MSLT）以明确诊断。情绪刺激诱发的脑卒中在动态视频脑电图肌电图监测下进行记录。进一步比较分析了猝倒时的脑电图特征。目的通过动态视频脑电图-肌电图监测，综合分析猝倒过程中的临床和神经电生理特点。方法选择6例发作性睡病1型典型猝倒患者，其中2例诊断为猝倒状态。所有患者均接受了多导睡眠图（PSG）和日间多重睡眠潜伏期测试（MSLT）以明确诊断。情绪刺激诱发的脑卒中在动态视频脑电图肌电图监测下进行记录。进一步比较分析了猝倒时的脑电图特征。结果记录了6例患者的14次发作。根据临床和视频肌电图特点，将发作分为4个阶段，包括触发期（CA1）、抵抗期（CA2）、无张力期（CA3）和恢复期（CA4）。不同阶段的脑电图频率和振幅不同，在早期抵抗期（CA2）观察到超同步发作θ（HSPT），这被认为是猝倒发作期间的一个独特的脑电图特征。结论全身性突触性发作分为4个阶段，在临床和神经电生理学上是一个复杂而动态的过程。此外，HSPT在抵抗期（CA2）极有可能在猝倒机制中起关键作用。DOI:10.3969/j.issn.1672-6731017.09.06

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Ambulatory video-EEG-EMG monitoring and analysis during cataplexy in narcolepsy

Objective To comprehensively analyze the clinical and electroneurophysiological characteristics during the process of cataplexy by dynamic video?EEG?EMG monitoring. Methods Six narcolepsy type 1 patients with typical cataplexy were enrolled and 2 of them were diagnosed as status cataplecticus. All patients underwent polysomnography (PSG) and daytime Multiple Sleep Latency Test (MSLT) to clarify the diagnosis. Cataplexy was triggered by emotional stimulus and recorded under dynamic video-EEG-EMG monitoring. EEG characteristics during cataplexy were further compared and analyzed. Objective To comprehensively analyze the clinical and electroneurophysiological characteristics during the process of cataplexy by dynamic video-EEG-EMG monitoring. Methods Six narcolepsy type 1 patients with typical cataplexy were enrolled and 2 of them were diagnosed as status cataplecticus. All patients underwent polysomnography (PSG) and daytime Multiple Sleep Latency Test (MSLT) to clarify the diagnosis. Cataplexy was triggered by emotional stimulus and recorded under dynamic video-EEG-EMG monitoring. EEG characteristics during cataplexy were further compared and analyzed. Results Fourteen cataplectic attacks in 6 patients were recorded. According to the clinical and video- EMG characteristics, cataplectic attack was divided into 4 stages, including triggering phase (CA1), resisting phase (CA2), atonic phase (CA3) and recovering phase (CA4). EEG frequency and amplitude varied from one stage to another and hypersynchronous paroxysmal theta (HSPT) was observed in early resisting phase (CA2), which was supposed to be a distinctive EEG characteristic during the onset of cataplexy. Conclusions Generalized cataplectic ttack contain 4 stages, which indicate a complicated and dynamic process in clinical and electroneurophysiology. Moreover, it's highly possible that HSPT during resisting phase (CA2) is critical in the mechanism of cataplexy. DOI: 10.3969/j.issn.1672-6731.2017.09.006

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