Evidence map›Paper›PMID 29415442›Full record

ArticleBrain sciences2018

Electric Field Comparison between Microelectrode Recording and Deep Brain Stimulation Systems-A Simulation Study.

Fabiola Alonso, Dorian Vogel, Johannes Johansson, Karin Wårdell, Simone Hemm

Abstract read
In one paragraph

Article in Brain sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

5 authors.

Fabiola AlonsoDepartment of Biomedical Engineering, Linköping University, 58185 Linköping, Sweden. fabiola.alonso@liu.se.ORCID 0000-0002-6896-1452
Dorian VogelDepartment of Biomedical Engineering, Linköping University, 58185 Linköping, Sweden. dorian.vogel@fhnw.ch.ORCID 0000-0003-3445-576X
Johannes JohanssonDepartment of Biomedical Engineering, Linköping University, 58185 Linköping, Sweden. johannes.johansson@liu.se.
Karin WårdellDepartment of Biomedical Engineering, Linköping University, 58185 Linköping, Sweden. karin.wardell@liu.se.
Simone HemmDepartment of Biomedical Engineering, Linköping University, 58185 Linköping, Sweden. simone.hemm@fhnw.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The success of deep brain stimulation (DBS) relies primarily on the localization of the implanted electrode. Its final position can be chosen based on the results of intraoperative microelectrode recording (MER) and stimulation tests. The optimal position often differs from the final one selected for chronic stimulation with the DBS electrode. The aim of the study was to investigate, using finite element method (FEM) modeling and simulations, whether lead design, electrical setup, and operating modes induce differences in electric field (EF) distribution and in consequence, the clinical outcome. Finite element models of a MER system and a chronic DBS lead were developed. Simulations of the EF were performed for homogenous and patient-specific brain models to evaluate the influence of grounding (guide tube vs. stimulator case), parallel MER leads, and non-active DBS contacts. Results showed that the EF is deformed depending on the distance between the guide tube and stimulating contact. Several parallel MER leads and the presence of the non-active DBS contacts influence the EF distribution. The DBS EF volume can cover the intraoperatively produced EF, but can also extend to other anatomical areas. In conclusion, EF deformations between stimulation tests and DBS should be taken into consideration as they can alter the clinical outcome.

Indexed as

brain modeldeep brain stimulation (DBS)Dice coefficientfinite element method (FEM)microelectrode recording (MER)patient-specific

Identifiers

PMID29415442
PMCPMC5836047

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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.