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基于高密度表面肌电图分析的深部脑刺激对帕金森病运动单位活动的影响。

The Effects of Deep Brain Stimulation on Motor Unit Activities in Parkinson's Disease based on High-Density Surface EMG Analysis.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:682-685. doi: 10.1109/EMBC48229.2022.9871976.

Abstract

Tremor in Parkinson's disease (PD) is caused by synchronized activation bursts in limb muscles. Deep Brain Stimulation (DBS) is an effective clinical therapy for inhibiting tremor and improving movement disorders in PD patients. However, the neural mechanism of how tremor symptom is suppressed by DBS at motor unit (MU) level remains unclear. This paper developed a data acquisition platform for collecting physiological data in PD patients. Both high-density surface Electromyography (HD-sEMG) and kinematics data were collected concurrently before and after DBS surgery. The MU behaviors were obtained via HD-sEMG decomposition algorithm to reveal the effect of DBS on PD tremor. A data set of one tremor dominant PD patient acquired in pre-operation and post-operation (DBS-on) phases was analyzed. Preliminary results showed significant changes in MU firing rate and MU synchronization. The analysis approach introduced in this paper provides a novel perspective for studying the neural mechanism of DBS as revealed by MU activities. Clinical Relevance- This study presented an approach to investigate the effect of DBS therapy on improving tremor disorder of PD patients.

摘要

帕金森病(PD)震颤是由肢体肌肉的同步激活爆发引起的。深部脑刺激(DBS)是一种有效的临床疗法,可抑制震颤并改善 PD 患者的运动障碍。然而,DBS 如何在运动单位(MU)水平抑制震颤症状的神经机制尚不清楚。本文开发了一个用于在 PD 患者中采集生理数据的采集平台。在 DBS 手术前后,同时采集高密度表面肌电图(HD-sEMG)和运动学数据。通过 HD-sEMG 分解算法获得 MU 行为,以揭示 DBS 对 PD 震颤的影响。分析了一个在术前和术后(DBS 开启)阶段采集的震颤主导 PD 患者的数据集。初步结果表明 MU 放电率和 MU 同步性发生了显著变化。本文介绍的分析方法为研究 MU 活动所揭示的 DBS 的神经机制提供了一个新的视角。临床相关性-本研究提出了一种方法来研究 DBS 疗法对改善 PD 患者震颤障碍的影响。

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