% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Behnke:279187,
      author       = {Behnke, Jennifer K and Peach, Robert L and Habets, Jeroen G
                      V and Busch, Johannes L and Kaplan, Jonathan and Roediger,
                      Jan and Mathiopoulou, Varvara and Feldmann, Lucia K and
                      Gerster, Moritz and Vivien, Juliette and Schneider,
                      Gerd-Helge and Faust, Katharina and Krause, Patricia and
                      Kühn, Andrea A},
      title        = {{L}ong-{T}erm {S}tability of {S}patial {D}istribution and
                      {P}eak {D}ynamics of {S}ubthalamic {B}eta {P}ower in
                      {P}arkinson's {D}isease {P}atients.},
      journal      = {Movement disorders},
      volume       = {40},
      number       = {6},
      issn         = {0885-3185},
      address      = {New York, NY},
      publisher    = {Wiley},
      reportid     = {DZNE-2025-00715},
      pages        = {1070 - 1084},
      year         = {2025},
      abstract     = {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.},
      keywords     = {Humans / Parkinson Disease: physiopathology / Parkinson
                      Disease: therapy / Male / Deep Brain Stimulation: methods /
                      Beta Rhythm: physiology / Subthalamic Nucleus:
                      physiopathology / Female / Middle Aged / Aged / Parkinson's
                      disease (Other) / beta band oscillations (Other) / deep
                      brain stimulation (Other) / local field potentials (Other) /
                      subthalamic nucleus (Other)},
      cin          = {AG Kühn},
      ddc          = {610},
      cid          = {I:(DE-2719)5000008},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40099366},
      pmc          = {pmc:PMC12160969},
      doi          = {10.1002/mds.30169},
      url          = {https://pub.dzne.de/record/279187},
}