首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >Multiscale entropy analysis of electroencephalography during sleep in patients with Parkinson disease.
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Multiscale entropy analysis of electroencephalography during sleep in patients with Parkinson disease.

机译:帕金森病患者睡眠期间脑电图的多尺度熵分析。

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Sleep disorders are frequently seen in patients with Parkinson disease (PD), including rapid eye movement (REM) behavior disorder and periodic limb movement disorder. However, knowledge about changes in non-REM sleep in patients with PD is limited. This study explored the characteristics of electroencephalography (EEG) during sleep in patients with PD and non-PD controls. We further conducted multiscale entropy (MSE) analysis to evaluate and compare the complexity of sleep EEG for the 2 groups. There were 9 patients with PD (Hoehn-Yahr stage 1 or 2) and 11 non-PD controls. All participants underwent standard whole-night polysomnography (PSG), which included 23 channels, 6 of which were for EEG. The raw data of the EEG were extracted and subjected to MSE analysis. Patients with PD had a longer sleep onset time and a higher spontaneous EEG arousal index. Sleep stage-specific increased MSE was observed in patients with PD during non-REM sleep. The difference was more marked and significant at higher time scale factors (TSFs). In conclusion, increased biosignal complexity, as revealed by MSE analysis, was found in patients with PD during non-REM sleep at high TSFs. This finding might reflect a compensatory mechanism for early defects in neuronal network control machinery in PD.
机译:帕金森病(PD)患者经常出现睡眠障碍,包括快速眼动(REM)行为障碍和周期性肢体运动障碍。然而,关于PD患者非REM睡眠改变的知识是有限的。这项研究探讨了PD和非PD对照患者睡眠期间的脑电图(EEG)特征。我们进一步进行了多尺度熵(MSE)分析,以评估和比较两组睡眠EEG的复杂性。有9例PD患者(Hoehn-Yahr 1或2期)和11例非PD患者。所有参与者均接受了标准的整夜多导睡眠监测(PSG),其中包括23个频道,其中6个频道用于脑电图。提取脑电图的原始数据并进行MSE分析。 PD患者的睡眠发作时间更长,自发脑电唤醒指数更高。非REM睡眠期间PD患者观察到睡眠阶段特异性MSE升高。在较高的时间标度因子(TSF)下,差异更为显着且显着。总之,通过MSE分析发现,PD患者在高TSF时非快速眼动睡眠期间生物信号复杂性增加。这一发现可能反映了PD神经元网络控制机制早期缺陷的补偿机制。

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