Abstract：
BACKGROUND: Deep brain stimulation (DBS) targeting the globus pallidus internus (GPi) and subthalamic nucleus (STN) is employed for the treatment of dystonia. Pallidal low-frequency oscillations have been proposed as a pathophysiological marker for dystonia. However, the role of subthalamic oscillations and STN-GPi coupling in relation to dystonia remains unclear.
OBJECTIVE: We aimed to explore oscillatory activities within the STN-GPi circuit and their correlation with the severity of dystonia and efficacy achieved by DBS treatment.
METHODS: Local field potentials were recorded simultaneously from the STN and GPi from 13 dystonia patients. Spectral power analysis was conducted for selected frequency bands from both nuclei, while power correlation and the weighted phase lag index were used to evaluate power and phase couplings between these two nuclei, respectively. These features were incorporated into generalized linear models to assess their associations with dystonia severity and DBS efficacy.
RESULTS: The results revealed that pallidal theta power, subthalamic beta power and subthalamic-pallidal theta phase coupling and beta power coupling all correlated with clinical severity. The model incorporating all selected features predicts empirical clinical scores and DBS-induced improvements, whereas the model relying solely on pallidal theta power failed to demonstrate significant correlations.
CONCLUSIONS: Beyond pallidal theta power, subthalamic beta power, STN-GPi couplings in theta and beta bands, play a crucial role in understanding the pathophysiological mechanism of dystonia and developing optimal strategies for DBS.
OBJECTIVE: We aimed to explore oscillatory activities within the STN-GPi circuit and their correlation with the severity of dystonia and efficacy achieved by DBS treatment.
METHODS: Local field potentials were recorded simultaneously from the STN and GPi from 13 dystonia patients. Spectral power analysis was conducted for selected frequency bands from both nuclei, while power correlation and the weighted phase lag index were used to evaluate power and phase couplings between these two nuclei, respectively. These features were incorporated into generalized linear models to assess their associations with dystonia severity and DBS efficacy.
RESULTS: The results revealed that pallidal theta power, subthalamic beta power and subthalamic-pallidal theta phase coupling and beta power coupling all correlated with clinical severity. The model incorporating all selected features predicts empirical clinical scores and DBS-induced improvements, whereas the model relying solely on pallidal theta power failed to demonstrate significant correlations.
CONCLUSIONS: Beyond pallidal theta power, subthalamic beta power, STN-GPi couplings in theta and beta bands, play a crucial role in understanding the pathophysiological mechanism of dystonia and developing optimal strategies for DBS.
摘要：
背景：针对苍白球（GPi）和丘脑底核（STN）的深部脑刺激（DBS）用于治疗肌张力障碍。已提出将Pallidal低频振荡作为肌张力障碍的病理生理标记。然而,丘脑下振荡和STN-GPi偶联与肌张力障碍的关系尚不清楚。
目的：我们旨在探讨STN-GPi回路内的振荡活动及其与肌张力障碍严重程度和DBS治疗疗效的相关性。
方法：同时记录13例肌张力障碍患者的STN和GPi的局部场电位。对来自两个原子核的选定频带进行了频谱功率分析，同时使用功率相关性和加权相位滞后指数来评估这两个核之间的功率和相位耦合，分别。将这些特征纳入广义线性模型以评估它们与肌张力障碍严重程度和DBS疗效的关联。
结果：结果显示，pallidaltheta功率，丘脑β功率和丘脑-苍白θ相耦合和β功率耦合均与临床严重程度相关。包含所有选定特征的模型可预测经验临床评分和DBS诱导的改善，而仅依靠pallidalθ功率的模型未能证明显着相关性。
结论：除了pallidalθ功率，丘脑下β功率，theta和beta波段的STN-GPi耦合，在了解肌张力障碍的病理生理机制和制定DBS的最佳策略中起着至关重要的作用。
目的：我们旨在探讨STN-GPi回路内的振荡活动及其与肌张力障碍严重程度和DBS治疗疗效的相关性。
方法：同时记录13例肌张力障碍患者的STN和GPi的局部场电位。对来自两个原子核的选定频带进行了频谱功率分析，同时使用功率相关性和加权相位滞后指数来评估这两个核之间的功率和相位耦合，分别。将这些特征纳入广义线性模型以评估它们与肌张力障碍严重程度和DBS疗效的关联。
结果：结果显示，pallidaltheta功率，丘脑β功率和丘脑-苍白θ相耦合和β功率耦合均与临床严重程度相关。包含所有选定特征的模型可预测经验临床评分和DBS诱导的改善，而仅依靠pallidalθ功率的模型未能证明显着相关性。
结论：除了pallidalθ功率，丘脑下β功率，theta和beta波段的STN-GPi耦合，在了解肌张力障碍的病理生理机制和制定DBS的最佳策略中起着至关重要的作用。
