IEEE Trans Neural Syst Rehabil Eng. 2017 Dec;25(12):2498-2508. doi: 10.1109/TNSRE.2017.2746623. Epub 2017 Aug 29.
Parkinson's disease (PD) is a neurodegenerative disorder of the central nervous system and one of its key symptoms is rest tremor. Deep brain stimulation (DBS) effectively suppresses rest tremor in Parkinson's disease. Despite being a successful treatment option, its underlying principle and the mechanism by which it attenuates tremors is not yet fully understood. Since existing methods for tuning DBS parameters are largely trial and error, understanding how DBS works can help to reduce time and costs, and could also ultimately lead to better treatment strategies for PD. In this paper, we set out to analyze how a high-frequency stimulation applied through DBS can help reduce the low-frequency rest tremors observed in PD patients. We identify key elements in the sensorimotor loop (the feedback loop consisting of sensory feedbacks and motor responses) that play a role in the interaction of high-frequency DBS signal and the low-frequency tremor. Based on the analysis of these elements, we draw insights about the working of DBS and the role of frequency and the nature of stimulation. We verify these observations with numerical examples and a bench top experimental example.
帕金森病（PD）是一种中枢神经系统的神经退行性疾病，其主要症状之一是静止性震颤。深部脑刺激（DBS）可有效抑制帕金森病的静止性震颤。尽管这是一种成功的治疗选择，但它的基本原理和减轻震颤的机制尚未完全理解。由于目前调整 DBS 参数的方法主要是反复试验，因此了解 DBS 的工作原理有助于减少时间和成本，最终还可以为 PD 提供更好的治疗策略。在本文中，我们旨在分析高频刺激如何通过 DBS 帮助减轻 PD 患者观察到的低频静止性震颤。我们确定了感觉运动回路（由感觉反馈和运动反应组成的反馈回路）中的关键要素，这些要素在高频 DBS 信号与低频震颤的相互作用中发挥作用。基于对这些要素的分析，我们深入了解 DBS 的工作原理以及频率和刺激性质的作用。我们通过数值示例和台式实验示例验证了这些观察结果。
