Evidence map›Paper›PMID 30903826›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2019

Electrophysiological differences between upper and lower limb movements in the human subthalamic nucleus.

Gerd Tinkhauser, Syed Ahmar Shah, Petra Fischer, Katrin Peterman, Ines Debove, Khoa Nygyuen, Andreas Nowacki, Flavie Torrecillos, Saed Khawaldeh, Huiling Tan and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Differential Beta and Gamma Activity Modulation during Unimanual and Bimanual Motor Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
  9. Clinical neurophysiological interrogation of motor slowing: A critical step towards tuning adaptive deep brain stimulation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  10. Article
  11. Spectral Topography of the Subthalamic Nucleus to Inform Next-Generation Deep Brain Stimulation.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  12. Combining Multimodal Biomarkers to Guide Deep Brain Stimulation Programming in Parkinson Disease.Neuromodulation : journal of the International Neuromodulation Society · 2023
    Article
  13. Review
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  15. Article
  16. Article
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  18. Article
  19. Waveform changes with the evolution of beta bursts in the human subthalamic nucleus.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020
    Article
  20. The Cumulative Effect of Transient Synchrony States on Motor Performance in Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    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 at 4 institutions in 2 countries.

Gerd TinkhauserDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland; MRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom. Electronic address: gerd.tinkhauser@insel.ch.
Syed Ahmar ShahMRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Petra FischerMRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Katrin PetermanDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Ines DeboveDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Khoa NygyuenDepartment of Neurosurgery, Bern University Hospital and University of Bern, Bern, Switzerland.
Andreas NowackiDepartment of Neurosurgery, Bern University Hospital and University of Bern, Bern, Switzerland; Department of Neurosurgery, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Flavie TorrecillosMRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Saed KhawaldehMRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Huiling TanMRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Alek PogosyanMRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Michael SchuepbachDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Claudio PolloDepartment of Neurosurgery, Bern University Hospital and University of Bern, Bern, Switzerland.
Peter BrownMRC Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBUniversity Hospital of Bern · CHUniversity of Bern · CHMRC Brain Network Dynamics Unit · GB

Funding

Department of HealthMedical Research Council MC_UU_12024/1Medical Research Council MR/P012272/1
6 · The paper itself

Abstract

objectiveFunctional processes in the brain are segregated in both the spatial and spectral domain. Motivated by findings reported at the cortical level in healthy participants we test the hypothesis in the basal ganglia of Parkinson's disease patients that lower frequency beta band activity relates to motor circuits associated with the upper limb and higher beta frequencies with lower limb movements.

methodsWe recorded local field potentials (LFPs) from the subthalamic nucleus using segmented "directional" DBS leads, during which patients performed repetitive upper and lower limb movements. Movement-related spectral changes in the beta and gamma frequency-ranges and their spatial distributions were compared between limbs.

resultsWe found that the beta desynchronization during leg movements is characterised by a strikingly greater involvement of higher beta frequencies (24-31 Hz), regardless of whether this was contralateral or ipsilateral to the limb moved. The spatial distribution of limb-specific movement-related changes was evident at higher gamma frequencies.

conclusionLimb processing in the basal ganglia is differentially organised in the spectral and spatial domain and can be captured by directional DBS leads. SIGNIFICANCE: These findings may help to refine the use of the subthalamic LFPs as a control signal for adaptive DBS and neuroprosthetic devices.

Indexed as

Action PotentialsAdultAgedBasal GangliaDeep Brain StimulationFemaleHumansLower ExtremityMaleMiddle AgedMotor CortexMovementParkinson DiseaseSubthalamic NucleusUpper ExtremityBasal gangliaDirectional deep brain stimulationLocal field potentialsMotor networkSomatotopy

Identifiers

PMID30903826
PMCPMC6487671
OpenAlexW2920832879

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.