TY  - JOUR
AU  - Behnke, Jennifer K
AU  - Peach, Robert L
AU  - Habets, Jeroen G V
AU  - Busch, Johannes L
AU  - Kaplan, Jonathan
AU  - Roediger, Jan
AU  - Mathiopoulou, Varvara
AU  - Feldmann, Lucia K
AU  - Gerster, Moritz
AU  - Vivien, Juliette
AU  - Schneider, Gerd-Helge
AU  - Faust, Katharina
AU  - Krause, Patricia
AU  - Kühn, Andrea A
TI  - Long-Term Stability of Spatial Distribution and Peak Dynamics of Subthalamic Beta Power in Parkinson's Disease Patients.
JO  - Movement disorders
VL  - 40
IS  - 6
SN  - 0885-3185
CY  - New York, NY
PB  - Wiley
M1  - DZNE-2025-00715
SP  - 1070 - 1084
PY  - 2025
AB  - 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.
KW  - Humans
KW  - Parkinson Disease: physiopathology
KW  - Parkinson Disease: therapy
KW  - Male
KW  - Deep Brain Stimulation: methods
KW  - Beta Rhythm: physiology
KW  - Subthalamic Nucleus: physiopathology
KW  - Female
KW  - Middle Aged
KW  - Aged
KW  - Parkinson's disease (Other)
KW  - beta band oscillations (Other)
KW  - deep brain stimulation (Other)
KW  - local field potentials (Other)
KW  - subthalamic nucleus (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:40099366
C2  - pmc:PMC12160969
DO  - DOI:10.1002/mds.30169
UR  - https://pub.dzne.de/record/279187
ER  -