帕金森病患者自主运动时丘脑下β振荡的反应

Chun-Hwei Tai , Sheng-Che Chou , Yen-Chen Lin , Ruey-Meei Wu , Chia-Jung Hsieh , Sheng-Hong Tseng
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引用次数: 0

摘要

研究目的研究帕金森病(PD)患者在自主运动过程中β功率和其他电生理标志物的变化,以增强β振荡作为生物标志物在目前正在开发的闭环DBS (CL-DBS)系统中的应用。方法我们招募了24例PD患者,在DBS植入手术中记录了120个丘脑下核(STN)的微记录。局部场电位(LFP)和单单元活动(SUA)在一个部位连续记录三个阶段:休息期、自主运动期和运动后休息期。然后提取电生理数据并离线分析,以比较PD患者在自主运动期间这些生物标志物的变化。结果自主运动时β振荡功率显著增加(比基线增加17.53 %)(n = 208,p <; 0.0001)。自发运动时的伽马能量也增加了(比基线增加了6.79 %)(n = 208,p <; 0.0001)。此外,在自主运动时,丘脑下突刺率和爆发放电也随之发生变化。结论PD患者在自主运动过程中β和γ振荡功率的改变将利用这些生物标志物对CL-DBS系统的有用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The responses of subthalamic beta oscillations during voluntary movement in patients with Parkinson’s disease

The purpose of research

We researched the beta power and other electrophysiological markers alterations during voluntary movement in Parkinson’s disease (PD) patients, in order to enhance the use of beta oscillations as a biomarker for currently developing closed-loop DBS (CL-DBS) system.

Methods

We recruited 24 patients with PD and recorded 120 sites in the subthalamic nucleus (STN) during micro-recording sessions during DBS implantation surgery. Both local field potentials (LFP) and single-units activities (SUA) were recorded concomitantly at one site during three consecutive phases: rest phase, voluntary movement phase, and post-movement rest phase. The electrophysiological data are then extracted and analyzed off-line to compare the alterations of these biomarkers during voluntary movement of the PD patients.

Results

Significant increases (17.53 % increase from baseline) in the beta oscillation power during voluntary movement (n = 208, p < 0.0001) was revealed. There was also an increase (6.79 % increase from baseline) in gamma power during voluntary movement (n = 208, p < 0.0001). Besides, there were also concomitant changes in the subthalamic spike rate and burst firing during voluntary movement.

Conclusions

The findings of alterations in beta and gamma oscillations power during voluntary movement of the PD patients will leverage the usefulness and effectiveness of these biomarkers for CL-DBS system.
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