Long-Term Stability of Spatial Distribution and Peak Dynamics of Subthalamic Beta Power in Parkinson's Disease Patients

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY Movement Disorders Pub Date : 2025-03-18 DOI:10.1002/mds.30169

Jennifer K. Behnke MD, Robert L. Peach PhD, Jeroen G.V. Habets MD, PhD, Johannes L. Busch MD, Jonathan Kaplan MD, Jan Roediger MD PhD, Varvara Mathiopoulou MSc, Lucia K. Feldmann MD, Moritz Gerster MSc, Juliette Vivien MSc, Gerd-Helge Schneider MD, Katharina Faust MD, Patricia Krause MD, Andrea A. Kühn MD

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Abstract

Background

Subthalamic beta oscillations are a biomarker for bradykinesia and rigidity in Parkinson's disease (PD), incorporated as a feedback signal in adaptive deep brain stimulation with potential for guiding electrode contact selection. Understanding their longitudinal stability is essential for successful clinical implementation.

Objectives

We aimed to analyze the long-term dynamics of beta peak parameters and beta power distribution along electrodes.

Methods

We recorded local field potentials from 12 channels per hemisphere of 33 PD patients at rest, in a therapy-off state at two to four sessions (0, 3, 12, 18–44 months) post-surgery. We analyzed bipolar beta power (13–35 Hz) and estimated monopolar beta power in subgroups with consistent recordings.

Results

During the initial 3 months, beta peak power increased (P < 0.0001). While detection of high-beta peaks was more consistent, low- and high-beta peak frequencies shifted substantially in some hemispheres during all periods. Spatial distribution of beta power correlated over time. Maximal beta power across segmented contact levels and directions was significantly stable compared with chance and increased in stability over time. Active contacts for therapeutic stimulation showed consistently higher normalized beta power than inactive contacts (P < 0.0001).

Conclusions

Our findings indicate that beta power is a stable chronic biomarker usable for beta-guided programming. For adaptive stimulation, high-beta peaks might be more reliable over time. Greater stability of beta power, center frequency, and spatial distribution beyond an initial stabilization period suggests that the microlesional effect significantly impacts neuronal oscillations, which should be considered in routine clinical practice when using beta activity for automated programming algorithms. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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帕金森病患者丘脑下β能量空间分布和峰值动态的长期稳定性

背景：丘脑下β振荡是帕金森病（PD）运动迟缓和僵硬的生物标志物，在适应性深部脑刺激中作为反馈信号，具有指导电极接触选择的潜力。了解它们的纵向稳定性对于成功的临床应用至关重要。目的：我们旨在分析β峰参数和β功率沿电极分布的长期动态。方法：我们记录了33例PD患者在术后2 -4个疗程（0、3、12、18-44个月）休息时每半球12个通道的局部场电位。在记录一致的亚组中，我们分析了双极β功率（13-35 Hz）和估计单极β功率。结果：在最初的3个月内，β峰值功率增加(P)。结论：我们的研究结果表明β功率是一种稳定的慢性生物标志物，可用于β引导编程。对于适应性刺激，随着时间的推移，高峰值可能更可靠。在初始稳定期之后，β能量、中心频率和空间分布的更大稳定性表明，微病变效应显著影响神经元振荡，在常规临床实践中，在自动编程算法中使用β活动时应考虑到这一点。©2025作者。Wiley期刊有限责任公司代表国际帕金森和运动障碍学会出版的《运动障碍》。

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来源期刊

Movement Disorders 医学-临床神经学

CiteScore

13.30

自引率

8.10%

发文量

371

审稿时长

12 months

期刊介绍： Movement Disorders publishes a variety of content types including Reviews, Viewpoints, Full Length Articles, Historical Reports, Brief Reports, and Letters. The journal considers original manuscripts on topics related to the diagnosis, therapeutics, pharmacology, biochemistry, physiology, etiology, genetics, and epidemiology of movement disorders. Appropriate topics include Parkinsonism, Chorea, Tremors, Dystonia, Myoclonus, Tics, Tardive Dyskinesia, Spasticity, and Ataxia.