Lack variation of low slow-wave activity over time in the frontal region in NREM sleep may be associated with dyskinesia in Parkinson's disease

IF 4.8 1区 医学 Q1 NEUROSCIENCES
Yi-Ming Wang, Jun-Yi Liu, Fan Gao, Wei-ye Xie, Jing Chen, Han-Ying Gu, Fen Wang, Chong-Ke Zhong, Kai Li, Sheng Zhuang, Xiao-Yu Cheng, Hong Jin, Jin-Ru Zhang, Cheng-Jie Mao, Chun-Feng Liu
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引用次数: 0

Abstract

Objective

Levodopa-induced dyskinesia (DYS) adversely affects the quality of life of Parkinson's disease (PD) patients. However, few studies have focused on the relationship between DYS and sleep and electroencephalography (EEG). Our study aimed to establish the objective physiological indicators assessed by polysomnography (PSG) that are associated with DYS in PD patients.

Methods

We enrolled 122 patients with PD, divided into two groups: PD with DYS (n = 27) and PD without DYS group (non-DYS, n = 95). The demographics and clinical characteristics and sleep assessment in the two groups were collected. More importantly, overnight six-channel PSG parameters were compared in the two groups. We also compared different bands and brain regions of average power spectral density within each group.

Results

Compared with the non-DYS group, the DYS group tended to have a significantly higher percentage of nonrapid eye movement sleep (NREM). Gender, levodopa equivalent daily dose (LEDD), rapid eye movement (REM) sleep (min), and the NREM percentage were positively correlated with the occurrence of DYS. After adjusting for gender, disease duration, LEDD, taking amantadine or not, and Montreal Cognitive Assessment (MoCA), NREM%, N3%, and REM (min), the percentage of NREM sleep (p = 0.035), female (p = 0.002), and LEDD (p = 0.005), and REM sleep time (min) (p = 0.012) were still associated with DYS. There was no significant difference in whole-night different bands of average power spectral density between two groups. There was no significant difference in normalized average power spectral density of slow wave activity (SWA) (0.5–2 Hz, 0.5–4 Hz, and 2–4 Hz) of early and late NREM sleep in the DYS group. Dynamic normalized average power spectral density of SWA of low-frequency (0.5–2 Hz) reduction in the frontal region (p = 0.013) was associated with DYS in logistic regression after adjusting for confounding factors.

Conclusion

PD patients with DYS have substantial sleep structure variations. Higher NREM percentage and less REM percentage were observed in PD patients with DYS. Dynamic normalized average power spectral density of low-frequency (0.5–2 Hz) SWA reduction in the frontal area could be a new electrophysiological marker of DYS in PD.

Abstract Image

在 NREM 睡眠中,额叶区缺乏随时间变化的低慢波活动可能与帕金森病的运动障碍有关。
目的:左旋多巴诱发的运动障碍(DYS)会对帕金森病(PD)患者的生活质量产生不利影响。然而,很少有研究关注 DYS 与睡眠和脑电图(EEG)之间的关系。我们的研究旨在确定多导睡眠图(PSG)评估的与帕金森病患者 DYS 相关的客观生理指标:我们招募了 122 名 PD 患者,分为两组:方法:我们将122名帕金森病患者分为两组:有DYS的帕金森病组(n = 27)和无DYS的帕金森病组(n = 95)。收集了两组患者的人口统计学特征、临床特征和睡眠评估。更重要的是,我们比较了两组患者的夜间六通道 PSG 参数。我们还比较了每组中不同频段和脑区的平均功率谱密度:结果:与非 DYS 组相比,DYS 组的非快速眼动睡眠(NREM)比例明显更高。性别、左旋多巴等效日剂量(LEDD)、快速眼动睡眠(REM)(分钟)和非快速眼动睡眠比例与DYS的发生呈正相关。在对性别、病程、LEDD、是否服用金刚烷胺、蒙特利尔认知评估(MoCA)、NREM%、N3%和REM(分钟)进行调整后,NREM睡眠百分比(p = 0.035)、女性(p = 0.002)、LEDD(p = 0.005)和REM睡眠时间(分钟)(p = 0.012)仍与DYS相关。两组间整夜不同波段平均功率谱密度无明显差异。DYS 组 NREM 早期和晚期睡眠慢波活动(SWA)(0.5-2 Hz、0.5-4 Hz 和 2-4 Hz)的归一化平均功率谱密度无明显差异。在调整了混杂因素后,额叶区低频(0.5-2 Hz)SWA减少的动态归一化平均功率谱密度(p = 0.013)与DYS的逻辑回归相关:结论:患有DYS的帕金森病患者的睡眠结构有很大变化。结论:患有 DYS 的帕金森病患者的睡眠结构有很大的变化,他们的 NREM 百分比较高,REM 百分比较低。额叶区低频(0.5-2 Hz)SWA降低的动态归一化平均功率谱密度可能是帕金森病DYS的一个新的电生理标记。
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来源期刊
CNS Neuroscience & Therapeutics
CNS Neuroscience & Therapeutics 医学-神经科学
CiteScore
7.30
自引率
12.70%
发文量
240
审稿时长
2 months
期刊介绍: CNS Neuroscience & Therapeutics provides a medium for rapid publication of original clinical, experimental, and translational research papers, timely reviews and reports of novel findings of therapeutic relevance to the central nervous system, as well as papers related to clinical pharmacology, drug development and novel methodologies for drug evaluation. The journal focuses on neurological and psychiatric diseases such as stroke, Parkinson’s disease, Alzheimer’s disease, depression, schizophrenia, epilepsy, and drug abuse.
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