Behnke Jennifer K, Peach Robert L, Habets Jeroen G V, Busch Johannes L, Kaplan Jonathan, Roediger Jan, Mathiopoulou Varvara, Feldmann Lucia K, Gerster Moritz, Vivien Juliette, Schneider Gerd-Helge, Faust Katharina, Krause Patricia, Kühn Andrea A
Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.
Berlin Institute of Health (BIH), Berlin, Germany.
Mov Disord. 2025 Jun;40(6):1070-1084. doi: 10.1002/mds.30169. Epub 2025 Mar 18.
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.
We aimed to analyze the long-term dynamics of beta peak parameters and beta power distribution along electrodes.
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.
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).
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.
丘脑底核β振荡是帕金森病(PD)运动迟缓及僵硬的生物标志物,在适应性脑深部电刺激中作为反馈信号,具有指导电极触点选择的潜力。了解其纵向稳定性对临床成功应用至关重要。
我们旨在分析β峰值参数及β功率沿电极的长期动态变化。
我们在33例PD患者术后处于治疗关闭状态下,于静息时从每个半球的12个通道记录局部场电位,记录2至4次(术后0、3、12、18 - 44个月)。我们分析了双极β功率(13 - 35Hz),并在记录一致的亚组中估计单极β功率。
在最初3个月内,β峰值功率增加(P < 0.0001)。虽然高β峰值的检测更一致,但在所有时间段内,一些半球的低β和高β峰值频率有显著偏移。β功率的空间分布随时间相关。与随机情况相比,分段触点水平和方向上的最大β功率显著稳定,且随时间稳定性增加。治疗性刺激的有效触点显示出始终高于无效触点的标准化β功率(P < 0.0001)。
我们的研究结果表明,β功率是一种可用于β引导编程的稳定慢性生物标志物。对于适应性刺激,随着时间推移高β峰值可能更可靠。在初始稳定期之后,β功率、中心频率和空间分布的更大稳定性表明微损伤效应显著影响神经元振荡,在将β活动用于自动编程算法的常规临床实践中应予以考虑。© 2025作者。《运动障碍》由Wiley Periodicals LLC代表国际帕金森和运动障碍协会出版。