Evidence map›Paper›PMID 26621764›Full record

Trial reportNeuromodulation : journal of the International Neuromodulation Society2016

Computer-Guided Deep Brain Stimulation Programming for Parkinson's Disease.

Dustin A Heldman, Christopher L Pulliam, Enrique Urrea Mendoza, Maureen Gartner, Joseph P Giuffrida, Erwin B Montgomery, Alberto J Espay, Fredy J Revilla

Registry-linked trialAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Neuromodulation : journal of the International Neuromodulation Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02046863 (DBS-Expert), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 15% 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.

NCT02046863 nacompletednot on this map

DBS-Expert: Automated Deep Brain Stimulation Programming Using Functional Mapping - Phase I

TypeinterventionalSponsorGreat Lakes NeuroTechnologies Inc.Ran2013 to 2014Enrolled7ConditionsParkinson's Disease, Tremor, BradykinesiaArmsAutomated Programming
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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  5. Article
  6. Review
  7. Article
  8. Article
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  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Localising movement disorders in childhood.The Lancet. Child & adolescent health · 2019
    Review
  16. Article
  17. Review
  18. [Quantitative assessment of motor function in patients with Parkinson's disease using wearable sensors].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2018
    Article
  19. Review
  20. Review
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

8 authors at 3 institutions in 1 country.

Dustin A HeldmanGreat Lakes NeuroTechnologies Inc., Cleveland, OH, USA.
Christopher L PulliamGreat Lakes NeuroTechnologies Inc., Cleveland, OH, USA.
Enrique Urrea MendozaUniversity of Cincinnati, Cincinnati, OH, USA.
Maureen GartnerUniversity of Cincinnati, Cincinnati, OH, USA.
Joseph P GiuffridaGreat Lakes NeuroTechnologies Inc., Cleveland, OH, USA.
Erwin B MontgomeryGreenville Neuromodulation Center, Greenville, PA, USA.
Alberto J EspayUniversity of Cincinnati, Cincinnati, OH, USA.
Fredy J RevillaUniversity of Cincinnati, Cincinnati, OH, USA.
Great Lakes NeuroTechnologies (United States) · USUniversity of Cincinnati · USUniversity of South Carolina · US

Funding

DBS-Expert: Automated Deep Brain Stimulation Programming Using Functional MappingR43NS081902 · NINDS · GREAT LAKES NEUROTECHNOLOGIES · PI HELDMAN, DUSTIN A. · 2012 to 2012
$284k
NINDS NIH HHS 1R43NS081902-01NINDS NIH HHS R43 NS081902
6 · The paper itself

Abstract

objectivePilot study to evaluate computer-guided deep brain stimulation (DBS) programming designed to optimize stimulation settings using objective motion sensor-based motor assessments. MATERIALS AND

methodsSeven subjects (five males; 54-71 years) with Parkinson's disease (PD) and recently implanted DBS systems participated in this pilot study. Within two months of lead implantation, the subject returned to the clinic to undergo computer-guided programming and parameter selection. A motion sensor was placed on the index finger of the more affected hand. Software guided a monopolar survey during which monopolar stimulation on each contact was iteratively increased followed by an automated assessment of tremor and bradykinesia. After completing assessments at each setting, a software algorithm determined stimulation settings designed to minimize symptom severities, side effects, and battery usage.

resultsOptimal DBS settings were chosen based on average severity of motor symptoms measured by the motion sensor. Settings chosen by the software algorithm identified a therapeutic window and improved tremor and bradykinesia by an average of 35.7% compared with baseline in the "off" state (p < 0.01).

conclusionsMotion sensor-based computer-guided DBS programming identified stimulation parameters that significantly improved tremor and bradykinesia with minimal clinician involvement. Automated motion sensor-based mapping is worthy of further investigation and may one day serve to extend programming to populations without access to specialized DBS centers.

Indexed as

SoftwareAgedAlgorithmsComputersDeep Brain StimulationFemaleHumansMaleMiddle AgedParkinson DiseasePilot ProjectsDeep brain stimulation (DBS)motion sensingobjective measuresParkinson's diseaseprogramming strategies

Identifiers

PMID26621764
PMCPMC4760891
OpenAlexW2183132719

What OpenQuestion holds

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Registered trials

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.