Evidence map›Paper›PMID 40099366›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2025

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

Jennifer K Behnke, Robert L Peach, Jeroen G V Habets, Johannes L Busch, Jonathan Kaplan, Jan Roediger, Varvara Mathiopoulou, Lucia K Feldmann, Moritz Gerster, Juliette Vivien and 4 more

Abstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. The Place of Adaptive Deep Brain Stimulation in Parkinson's Disease: Spatial before Temporal Optimization.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  3. Article
  4. Article
  5. Localizing beta synchronous neurons in the STN using directional DBS recordings and patient-specific biophysical models.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  6. Adaptive Deep Brain Stimulation for Parkinson's Disease: Navigating the Roadblocks to Clinical Implementation.Movement disorders : official journal of the Movement Disorder Society · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jennifer K BehnkeMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.ORCID https://orcid.org/0000-0002-8809-8481
Robert L PeachDepartment of Brain Sciences, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-8738-5825
Jeroen G V HabetsMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.
Johannes L BuschMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.ORCID https://orcid.org/0000-0002-1280-5928
Jonathan KaplanMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.
Jan RoedigerMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.ORCID https://orcid.org/0000-0003-2814-3532
Varvara MathiopoulouMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.
Lucia K FeldmannMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.ORCID https://orcid.org/0000-0003-1290-208X
Moritz GersterResearch Group Neural Interactions and Dynamics, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Juliette VivienMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.
Gerd-Helge SchneiderDepartment of Neurosurgery, Charité University Medicine, Berlin, Germany.
Katharina FaustDepartment of Neurosurgery, Charité University Medicine, Berlin, Germany.
Patricia KrauseMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.ORCID https://orcid.org/0000-0001-9063-0556
Andrea A KühnMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine, Berlin, Germany.

Funding

Berlin Institute of HealthCharité - Universitätsmedizin BerlinDeutsche Forschungsgemeinschaft 424778381 - TRR 295Deutsche Forschungsgemeinschaft EXC-2049 - 390688087Lundbeck Foundation R336-2020-1035
6 · The paper itself

Abstract

backgroundSubthalamic 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.

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

methodsWe 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.

resultsDuring 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).

conclusionsOur 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.

Indexed as

Beta RhythmDeep Brain StimulationParkinson DiseaseSubthalamic NucleusAgedFemaleHumansMaleMiddle Agedbeta band oscillationsdeep brain stimulationlocal field potentialsParkinson's diseasesubthalamic nucleus

Identifiers

PMID40099366
PMCPMC12160969

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.