Evidence map›Paper›PMID 29434635›Full record

ArticleComputational intelligence and neuroscience2017

Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson's Disease.

Ángeles Tepper, Mauricio Carlos Henrich, Luciano Schiaffino, Alfredo Rosado Muñoz, Antonio Gutiérrez, Juan Guerrero Martínez

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational intelligence and neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 2 countries.

Ángeles TepperLaboratory of Rehabilitation Engineering, National University of Entre Ríos, Oro Verde, Argentina.
Mauricio Carlos HenrichLaboratory of Rehabilitation Engineering, National University of Entre Ríos, Oro Verde, Argentina.
Luciano SchiaffinoLaboratory of Rehabilitation Engineering, National University of Entre Ríos, Oro Verde, Argentina.
Alfredo Rosado MuñozGroup for Digital Design and Processing (GDDP), ETSE, Department of Electronic Engineering, University of Valencia, Valencia, Spain.ORCID 0000-0002-0429-0573
Antonio GutiérrezFunctional Neurosurgery Unit, La Fe Hospital, Valencia, Spain.
Juan Guerrero MartínezGroup for Digital Design and Processing (GDDP), ETSE, Department of Electronic Engineering, University of Valencia, Valencia, Spain.
Universidad Nacional de Entre Ríos · ARUniversitat de València · ESHospital Universitari i Politècnic La Fe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep Brain Stimulation (DBS) is a surgical procedure for the treatment of motor disorders in patients with Parkinson's Disease (PD). DBS involves the application of controlled electrical stimuli to a given brain structure. The implantation of the electrodes for DBS is performed by a minimally invasive stereotactic surgery where neuroimaging and microelectrode recordings (MER) are used to locate the target brain structure. The Subthalamic Nucleus (STN) is often chosen for the implantation of stimulation electrodes in DBS therapy. During the surgery, an intraoperative validation is performed to locate the dorsolateral region of STN. Patients with PD reveal a high power in the

Indexed as

AlgorithmsBeta RhythmDeep Brain StimulationElectroencephalographyFemaleFourier AnalysisHumansMaleMicroelectrodesNeurosurgical ProceduresParkinson DiseasePerioperative PeriodStatistics, NonparametricSubthalamic NucleusTime Factors

Identifiers

PMID29434635
PMCPMC5757164
OpenAlexW2777944405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.