Basal Ganglia Local Field Potentials as a Potential Biomarker for Sleep Disturbance in Parkinson's Disease.

Basal Ganglia Local Field Potentials as a Potential Biomarker for Sleep Disturbance in Parkinson's Disease.
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DOI:
10.3389/fneur.2021.765203
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发表时间:
2021
影响因子:
3.4
通讯作者:
Thompson JA
Thompson JA
中科院分区:
医学3区
文献类型:
--
作者:
Baumgartner AJ;Kushida CA;Summers MO;Kern DS;Abosch A;Thompson JA

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睡眠障碍,特别是总睡眠时间和睡眠效率的减少以及睡眠开始潜伏期和睡眠开始后的觉醒增加,在帕金森病(PD)患者中非常普遍。睡眠障碍对该患者人群中的几种合并症(包括认知、情绪和生活质量)有显著的不利影响。PD的睡眠障碍和其他非运动症状已经成为前沿,因为先进疗法(如脑深部电刺激(DBS))的有效性可以最佳地管理运动症状。尽管一些研究表明DBS为PD患者的睡眠障碍提供了益处,但其可能发生的机制以及治疗睡眠障碍的最佳刺激参数仍然未知。在接受DBS治疗的患者中,来自刺激电极的电生理记录(以局部场电位(LFP)的形式)导致识别出与运动和非运动症状(包括睡眠)相关的几种发现。例如,β频率(13-30 Hz)振荡与清醒时运动迟缓恶化相关,并且在非快速眼动睡眠期间减少。LFP对睡眠的研究主要集中在丘脑底核(subthalamic nucleus,GPi),但在苍白球(globus pallidus internus,GPi)和丘脑中也发现了相应的振荡活动。LFP越来越多地被认为是PD睡眠状态的潜在生物标志物,这可能允许DBS参数的闭环优化以治疗该人群的睡眠障碍。在这篇综述中,我们讨论了LFP振荡之间的关系,在帕金森病患者的睡眠结构,目前的趋势,利用DBS治疗睡眠障碍,以及未来的研究方向。特别是,我们强调了新技术在体内捕获和记录LFP数据的能力,同时患者继续治疗运动症状的刺激。这些技术进步可能很快就会允许实时自适应刺激来治疗睡眠障碍。
Sleep disturbances, specifically decreases in total sleep time and sleep efficiency as well as increased sleep onset latency and wakefulness after sleep onset, are highly prevalent in patients with Parkinson's disease (PD). Impairment of sleep significantly and adversely impacts several comorbidities in this patient population, including cognition, mood, and quality of life. Sleep disturbances and other non-motor symptoms of PD have come to the fore as the effectiveness of advanced therapies such as deep brain stimulation (DBS) optimally manage the motor symptoms. Although some studies have suggested that DBS provides benefit for sleep disturbances in PD, the mechanisms by which this might occur, as well as the optimal stimulation parameters for treating sleep dysfunction, remain unknown. In patients treated with DBS, electrophysiologic recording from the stimulating electrode, in the form of local field potentials (LFPs), has led to the identification of several findings associated with both motor and non-motor symptoms including sleep. For example, beta frequency (13–30 Hz) oscillations are associated with worsened bradykinesia while awake and decrease during non-rapid eye movement sleep. LFP investigation of sleep has largely focused on the subthalamic nucleus (STN), though corresponding oscillatory activity has been found in the globus pallidus internus (GPi) and thalamus as well. LFPs are increasingly being recognized as a potential biomarker for sleep states in PD, which may allow for closed-loop optimization of DBS parameters to treat sleep disturbances in this population. In this review, we discuss the relationship between LFP oscillations in STN and the sleep architecture of PD patients, current trends in utilizing DBS to treat sleep disturbance, and future directions for research. In particular, we highlight the capability of novel technologies to capture and record LFP data in vivo, while patients continue therapeutic stimulation for motor symptoms. These technological advances may soon allow for real-time adaptive stimulation to treat sleep disturbances.
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