Evidence map›Paper›PMID 32039501›Full record

ReviewMovement disorders : official journal of the Movement Disorder Society2020

Debugging Adaptive Deep Brain Stimulation for Parkinson's Disease.

Simon Little, Peter Brown

Abstract readReview
In one paragraph

Review in Movement disorders : official journal of the Movement Disorder Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. From continuous to adaptive deep brain stimulation: Personalized modulation improves motor complications and sleep in Parkinson's Disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  7. Local Field Aperiodic Spectral Power Modulated by Deep Brain Stimulation in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  8. Article
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  11. Gait analysis for Parkinson's disease using multiscale entropy.Neurodegenerative disease management · 2025
    Review
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  13. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Simon LittleDepartment of Movement Disorders and Neuromodulation, University of California San Francisco, San Francisco, California, USA.
Peter BrownMedical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.

Funding

Medical Research Council MC_UU_00003/2Medical Research Council MC_UU_12024/1Rosetrees Trust
6 · The paper itself

Abstract

Deep brain stimulation (DBS) is a successful treatment for patients with Parkinson's disease. In adaptive DBS, stimulation is titrated according to feedback about clinical state and underlying pathophysiology. This contrasts with conventional stimulation, which is fixed and continuous. In acute trials, adaptive stimulation matches the efficacy of conventional stimulation while delivering about half the electrical energy. The latter means potentially fewer side-effects. The next step is to determine the long-term efficacy, efficiency, and side-effect profile of adaptive stimulation, and chronic trials are currently being considered by the medical devices industry. However, there are several different approaches to adaptive DBS, and several possible limitations have been highlighted. Here we review the findings to date to ascertain how and who to stimulate in chronic trials designed to establish the long-term utility of adaptive DBS. © 2020 International Parkinson and Movement Disorder Society.

Indexed as

Deep Brain StimulationParkinson DiseaseHumansTreatment Outcome

Identifiers

PMID32039501
PMCPMC7166127

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.