Effect of subthalamic coordinated reset deep brain stimulation on Parkinsonian gait.

IF 2.5 4区 医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in Neuroinformatics Pub Date : 2023-08-24 eCollection Date: 2023-01-01 DOI:10.3389/fninf.2023.1185723
Kai M Bosley, Ziling Luo, Sana Amoozegar, Kit Acedillo, Kanon Nakajima, Luke A Johnson, Jerrold L Vitek, Jing Wang
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引用次数: 0

Abstract

Introduction: Coordinated Reset Deep Brain Stimulation (CR DBS) is a novel DBS approach for treating Parkinson's disease (PD) that uses lower levels of burst stimulation through multiple contacts of the DBS lead. Though CR DBS has been demonstrated to have sustained therapeutic effects on rigidity, tremor, bradykinesia, and akinesia following cessation of stimulation, i.e., carryover effect, its effect on Parkinsonian gait has not been well studied. Impaired gait is a disabling symptom of PD, often associated with a higher risk of falling and a reduced quality of life. The goal of this study was to explore the carryover effect of subthalamic CR DBS on Parkinsonian gait.

Methods: Three non-human primates (NHPs) were rendered Parkinsonian and implanted with a DBS lead in the subthalamic nucleus (STN). For each animal, STN CR DBS was delivered for several hours per day across five consecutive days. A clinical rating scale modified for NHP use (mUPDRS) was administered every morning to monitor the carryover effect of CR DBS on rigidity, tremor, akinesia, and bradykinesia. Gait was assessed quantitatively before and after STN CR DBS. The stride length and swing speed were calculated and compared to the baseline, pre-stimulation condition.

Results: In all three animals, carryover improvements in rigidity, bradykinesia, and akinesia were observed after CR DBS. Increased swing speed was observed in all the animals; however, improvement in stride length was only observed in NHP B2. In addition, STN CR DBS using two different burst frequencies was evaluated in NHP B2, and differential effects on the mUPDRS score and gait were observed.

Discussion: Although preliminary, our results indicate that STN CR DBS can improve Parkinsonian gait together with other motor signs when stimulation parameters are properly selected. This study further supports the continued development of CR DBS as a novel therapy for PD and highlights the importance of parameter selection in its clinical application.

Abstract Image

Abstract Image

Abstract Image

丘脑下协调复位深部脑刺激对帕金森步态的影响
简介:协调重置深部脑刺激(CR DBS)是一种治疗帕金森病(PD)的新型 DBS 方法,它通过 DBS 导联的多个触点使用较低水平的脉冲刺激。虽然 CR DBS 已被证明在停止刺激后对僵直、震颤、运动迟缓和运动障碍具有持续的治疗效果,即携带效应,但其对帕金森病步态的影响尚未得到充分研究。步态障碍是帕金森病的一种致残性症状,通常与跌倒风险增加和生活质量下降有关。本研究的目的是探索丘脑下 CR DBS 对帕金森步态的携带效应:方法:将三只非人灵长类动物(NHPs)改造成帕金森病患者,并在其丘脑下核(STN)植入 DBS 导线。对每只动物连续五天每天进行数小时的 STN CR DBS 治疗。每天早上进行一次针对 NHP 使用的临床评分量表(mUPDRS)测试,以监测 CR DBS 对僵直、震颤、运动障碍和运动迟缓的影响。在 STN CR DBS 治疗前后,对步态进行了定量评估。计算步长和摆动速度,并与刺激前的基线状态进行比较:结果:在 CR DBS 后,所有三只动物的僵直、运动迟缓和运动失调都得到了改善。所有动物的摆动速度都有所提高,但只有 NHP B2 的步长有所改善。此外,我们还使用两种不同的脉冲频率对 NHP B2 的 STN CR DBS 进行了评估,并观察到了对 mUPDRS 评分和步态的不同影响:讨论:尽管是初步研究,但我们的结果表明,如果刺激参数选择得当,STN CR DBS 可以改善帕金森步态和其他运动症状。这项研究进一步支持了 CR DBS 作为一种治疗帕金森病的新型疗法的持续发展,并强调了其临床应用中参数选择的重要性。
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来源期刊
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES
CiteScore
4.80
自引率
5.70%
发文量
132
审稿时长
14 weeks
期刊介绍: Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the École Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states. Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.
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