Evidence map›Paper›PMID 32742820›Full record

ArticleComputer methods in biomechanics and biomedical engineering. Imaging & visualization2020

Interactive computation and visualization of deep brain stimulation effects using Duality.

J Vorwerk, D McCann, J Krüger, C R Butson

Open access · greenAbstract read
In one paragraph

Article in Computer methods in biomechanics and biomedical engineering. Imaging & visualization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  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

4 authors at 1 institution in 2 countries.

J VorwerkScientific Computing & Imaging (SCI) Institute, Department of Bioengineering, University of Utah, Salt Lake City, UT-8f112, USA.
D McCannScientific Computing & Imaging (SCI) Institute, Department of Bioengineering, University of Utah, Salt Lake City, UT-8f112, USA.
J KrügerCenter of Visual Data Analysis and Computer Graphics (COVIDAG) & HPC Group, University of Duisburg-Essen, 47057 Duisburg, Germany.
C R ButsonScientific Computing & Imaging (SCI) Institute, Department of Bioengineering, University of Utah, Salt Lake City, UT-8f112, USA.
University of Utah · US

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2012 to 2019
$9.7M
Structural and functional analysis of a dynamic ABA signaling complexR01GM102545 · NIGMS · VAN ANDEL RESEARCH INSTITUTE · PI MELCHER, KARSTEN · 2012 to 2014
$1.1M
NIGMS NIH HHS P41 GM103545NIGMS NIH HHS R01 GM102545
6 · The paper itself

Abstract

Deep brain stimulation (DBS) is an established treatment for movement disorders such as Parkinson's disease or essential tremor. Currently, the selection of optimal stimulation settings is performed by iteratively adjusting the stimulation parameters and is a time consuming procedure that requires multiple clinic visits of several hours. Recently, computational models to predict and visualize the effect of DBS have been developed with the goal to simplify and accelerate this procedure by providing visual guidance and such models have been made available also on mobile devices. However, currently available visualization software still either lacks mobility, i.e., it is running on desktop computers and not easily available in clinical praxis, or flexibility, as the simulations that are visualized on mobile devices have to be precomputed. The goal of the pipeline presented in this paper is to close this gap: Using Duality, a newly developed software for the interactive visualization of simulation results, we implemented a pipeline that allows to compute DBS simulations in near-real time and instantaneously visualize the result on a tablet computer. Therefore, a client-server setup is used, so that the visualization and user interaction occur on the tablet computer, while the computations are carried out on a remote server. We present two examples for the use of Duality, one for postoperative programming and one for the planning of DBS surgery in a pre- or intraoperative setting. We carry out a performance analysis and present the results of a case study in which the pipeline for postoperative programming was applied.

Indexed as

computational steeringDBSfinite element methodneuromodulationtelemedicine

Identifiers

PMID32742820
PMCPMC7394461
OpenAlexW2956034389

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.