Evidence map›Paper›PMID 27618109›Full record

ArticleBrain sciences2016

Investigation into Deep Brain Stimulation Lead Designs: A Patient-Specific Simulation Study.

Fabiola Alonso, Malcolm A Latorre, Nathanael Göransson, Peter Zsigmond, Karin Wårdell

Abstract read
In one paragraph

Article in Brain sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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, Linköping 58185, Sweden. fabiola.alonso@liu.se.
Malcolm A LatorreDepartment of Biomedical Engineering, Linköping University, Linköping 58185, Sweden. malcolm.latorre@liu.se.
Nathanael GöranssonDepartment of Biomedical Engineering, Linköping University, Linköping 58185, Sweden. Nathanael.Goransson@regionostergotland.se.
Peter ZsigmondDepartment of Neurosurgery, Linköping University Hospital, Region Östergötland, Linköping 58185, Sweden. Peter.Zsigmond@regionostergotland.se.
Karin WårdellDepartment of Biomedical Engineering, Linköping University, Linköping 58185, Sweden. karin.wardell@liu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New deep brain stimulation (DBS) electrode designs offer operation in voltage and current mode and capability to steer the electric field (EF). The aim of the study was to compare the EF distributions of four DBS leads at equivalent amplitudes (3 V and 3.4 mA). Finite element method (FEM) simulations (n = 38) around cylindrical contacts (leads 3389, 6148) or equivalent contact configurations (leads 6180, SureStim1) were performed using homogeneous and patient-specific (heterogeneous) brain tissue models. Steering effects of 6180 and SureStim1 were compared with symmetric stimulation fields. To make relative comparisons between simulations, an EF isolevel of 0.2 V/mm was chosen based on neuron model simulations (n = 832) applied before EF visualization and comparisons. The simulations show that the EF distribution is largely influenced by the heterogeneity of the tissue, and the operating mode. Equivalent contact configurations result in similar EF distributions. In steering configurations, larger EF volumes were achieved in current mode using equivalent amplitudes. The methodology was demonstrated in a patient-specific simulation around the zona incerta and a "virtual" ventral intermediate nucleus target. In conclusion, lead design differences are enhanced when using patient-specific tissue models and current stimulation mode.

Indexed as

brain modeldeep brain stimulation (DBS)electric fieldelectrode designfinite element methodneuron modelpatient-specificsteeringzona incerta (ZI)

Identifiers

PMID27618109
PMCPMC5039468

What OpenQuestion holds

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Registered trials

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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.