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

被引:0
作者
Behnke, Jennifer K. [1 ,2 ]
Peach, Robert L. [3 ,4 ,5 ]
Habets, Jeroen G. V. [1 ,2 ]
Busch, Johannes L. [1 ,2 ]
Kaplan, Jonathan [1 ]
Roediger, Jan [1 ,2 ,6 ,7 ]
Mathiopoulou, Varvara [1 ]
Feldmann, Lucia K. [1 ,2 ]
Gerster, Moritz [8 ]
Vivien, Juliette [1 ,9 ]
Schneider, Gerd-Helge [10 ]
Faust, Katharina [10 ]
Krause, Patricia [1 ]
Kuehn, Andrea A. [1 ,7 ,9 ,11 ]
机构
[1] Charite, Dept Neurol, Movement Disorders & Neuromodulat Unit, Campus Mitte,Charitepl 1, D-10117 Berlin, Germany
[2] Berlin Inst Hlth BIH, Berlin, Germany
[3] Imperial Coll London, Dept Brain Sci, London, England
[4] Imperial Coll London, UK Dementia Res Inst, London, England
[5] Univ Hosp Wurzburg, Dept Neurol, Wurzburg, Germany
[6] Einstein Ctr Neurosci Berlin, Berlin, Germany
[7] Charite Univ Med Berlin, NeuroCure Clin Res Ctr, Berlin, Germany
[8] Max Planck Inst Human Cognit & Brain Sci, Dept Neurol, Res Grp Neural Interact & Dynam, Leipzig, Germany
[9] Berlin Sch Mind & Brain, Berlin, Germany
[10] Charite, Dept Neurosurg, Berlin, Germany
[11] German Ctr Neurodegenerat Dis DZNE, Berlin, Germany
关键词
Parkinson's disease; local field potentials; deep brain stimulation; beta band oscillations; subthalamic nucleus; DEEP BRAIN-STIMULATION; LOCAL-FIELD POTENTIALS; MOTOR IMPAIRMENT; NUCLEUS; BRADYKINESIA; OSCILLATIONS; IMPROVEMENT;
D O I
10.1002/mds.30169
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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. (c) 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
引用
收藏
页码:1070 / 1084
页数:15
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