Evidence map›Paper›PMID 33547859›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2021

Closed-Loop Deep Brain Stimulation for Essential Tremor Based on Thalamic Local Field Potentials.

Shenghong He, Fahd Baig, Abteen Mostofi, Alek Pogosyan, Jean Debarros, Alexander L Green, Tipu Z Aziz, Erlick Pereira, Peter Brown, Huiling Tan

Open access · hybridAbstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 94 citations in OpenAlex.

  1. Review
  2. 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
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  8. Review
  9. Article
  10. Review
  11. Article
  12. Tremor Asymmetry and the Development of Bilateral Phase-Specific Deep Brain Stimulation for Postural Tremor.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Shenghong HeMRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
Fahd BaigMRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
Abteen MostofiNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St. George's, University of London, Oxford, UK.
Alek PogosyanMRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
Jean DebarrosMRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
Alexander L GreenNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Tipu Z AzizNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Erlick PereiraNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St. George's, University of London, Oxford, UK.
Peter BrownMRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
Huiling TanMRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
University of Oxford · GBMRC Brain Network Dynamics Unit · GBSt George's, University of London · GB

Funding

Department of HealthMedical Research Council MC_UU_00003/2Medical Research Council MC_UU_12024/1Medical Research Council MR/P012272/1Medical Research Council MR/V00655X/1
6 · The paper itself

Abstract

backgroundHigh-frequency thalamic stimulation is an effective therapy for essential tremor, which mainly affects voluntary movements and/or sustained postures. However, continuous stimulation may deliver unnecessary current to the brain due to the intermittent nature of the tremor.

objectiveWe proposed to close the loop of thalamic stimulation by detecting tremor-provoking movement states using local field potentials recorded from the same electrodes implanted for stimulation, so that the stimulation is only delivered when necessary.

methodsEight patients with essential tremor participated in this study. Patient-specific support vector machine classifiers were first trained using data recorded while the patient performed tremor-provoking movements. Then, the trained models were applied in real-time to detect these movements and triggered the delivery of stimulation.

resultsUsing the proposed method, stimulation was switched on for 80.37 ± 7.06% of the time when tremor-evoking movements were present. In comparison, the stimulation was switched on for 12.71 ± 7.06% of the time when the patients were at rest and tremor-free. Compared with continuous stimulation, a similar amount of tremor suppression was achieved while only delivering 36.62 ± 13.49% of the energy used in continuous stimulation.

conclusionsThe results suggest that responsive thalamic stimulation for essential tremor based on tremor-provoking movement detection can be achieved without any requirement for external sensors or additional electrocorticography strips. Further research is required to investigate whether the decoding model is stable across time and generalizable to the variety of activities patients may engage with in everyday life. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Indexed as

Deep Brain StimulationEssential TremorHumansMovementThalamusTremorclosed-loop deep brain stimulationessential tremormovement decodingthalamic local field potential

Identifiers

PMID33547859
PMCPMC7610625
OpenAlexW3127678637

What OpenQuestion holds

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LicenceCC BY
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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.