Evidence map›Paper›PMID 29456487›Full record

ArticleFrontiers in neuroscience2018

The Discontinuous Galerkin Finite Element Method for Solving the MEG and the Combined MEG/EEG Forward Problem.

Maria Carla Piastra, Andreas Nüßing, Johannes Vorwerk, Harald Bornfleth, Robert Oostenveld, Christian Engwer, Carsten H Wolters

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 48 citations in OpenAlex.

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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

7 authors at 3 institutions in 4 countries.

Maria Carla PiastraInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.
Andreas NüßingInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.
Johannes VorwerkScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States.
Harald BornflethBESA GmbH, Gräfelfing, Germany.
Robert OostenveldDonders Institute, Radboud University, Nijmegen, Netherlands.
Christian EngwerInstitute for Computational and Applied Mathematics, University of Münster, Münster, Germany.
Carsten H WoltersInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.
University of Münster · DEKarolinska Institutet · SEUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Electro- (EEG) and Magnetoencephalography (MEG), one important requirement of source reconstruction is the forward model. The continuous Galerkin finite element method (CG-FEM) has become one of the dominant approaches for solving the forward problem over the last decades. Recently, a discontinuous Galerkin FEM (DG-FEM) EEG forward approach has been proposed as an alternative to CG-FEM (Engwer et al., 2017). It was shown that DG-FEM preserves the property of

Indexed as

conservation propertiesdipolediscontinous Galerkinelectroencephalography (EEG)finite element methodsmagnetoencephalography (MEG)realistic head modelingsubtraction method

Identifiers

PMID29456487
PMCPMC5801436
OpenAlexW2793683173

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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.