Leung Chun Him Shelton, Simpson Hugh D, Thyagarajan Dominic
Department of Neurology, The Alfred Hospital, Melbourne, VIC 3004, Australia.
Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.
Brain Sci. 2025 Jan 25;15(2):116. doi: 10.3390/brainsci15020116.
Background/Objections: The pharmacological management of Parkinson's Disease (PD) is often supplemented by deep brain stimulation (DBS) to tackle problems of advanced disease such as motor fluctuation, dyskinesias or medication-resistant tremor. DBS uses high-frequency stimulation with spatially distributed electrodes to produce electrical fields that influence neuronal networks. The programming of such stimulation is complex and time-consuming. Recent technological advancements have enabled DBS systems to record local field potentials (LFPs). In conjunction with biomarker discovery, such as beta oscillations, this shows promise in streamlining the DBS programming process. This review aims to synthesize the current literature investigating LFP characteristics in PD in order to understand the place of LFPs in assisting with DBS programming.
A comprehensive literature search was conducted using databases including OVID MEDLINE, Scopus, and Cochrane Library, resulting in 738 identified articles; 122 studies remained after screening and 87 studies were selected for detailed analysis.
Analyzing LFPs clearly has the potential to assist or streamline DBS programming in clinical practice, but there are knowledge gaps and challenges to overcome, especially in the utilization of intraoperative LFPs.
More research is required to compare different algorithms that utilize LFPs in DBS programming to identify a simple, practical and time-saving algorithm incorporating reliable LFP biomarkers that will enhance the DBS programming experience for both patients and clinicians.
背景/目的:帕金森病(PD)的药物治疗常辅以深部脑刺激(DBS),以解决晚期疾病的问题,如运动波动、异动症或药物难治性震颤。DBS使用高频刺激和空间分布的电极来产生影响神经网络的电场。这种刺激的编程复杂且耗时。最近的技术进步使DBS系统能够记录局部场电位(LFP)。结合生物标志物的发现,如β振荡,这在简化DBS编程过程方面显示出前景。本综述旨在综合当前研究PD中LFP特征的文献,以了解LFP在协助DBS编程中的作用。
使用包括OVID MEDLINE、Scopus和Cochrane图书馆在内的数据库进行全面的文献检索,共识别出738篇文章;筛选后剩下122项研究,87项研究被选作详细分析。
在临床实践中,分析LFP显然有协助或简化DBS编程的潜力,但仍存在知识空白和挑战需要克服,特别是在术中LFP的利用方面。
需要更多研究来比较在DBS编程中利用LFP的不同算法,以确定一种简单、实用且省时的算法,该算法纳入可靠的LFP生物标志物,这将提升患者和临床医生的DBS编程体验。