@article{cc3f9f2a71e24ff2afc3af31e1cf849c,
title = "DUNEuro - A software toolbox for forward modeling in bioelectromagnetism",
abstract = "Accurate and efficient source analysis in electro- and magnetoencephalography using sophisticated realistic head geometries requires advanced numerical approaches. This paper presents DUNEuro, a free and open-source C++ software toolbox for the numerical computation of forward solutions in bioelectromagnetism. Building upon the DUNE framework, it provides implementations of modern fitted and unfitted finite element methods to efficiently solve the forward problems of electro- and magnetoencephalography. The user can choose between a variety of different source models that are implemented. The software's aim is to provide interfaces that are extendable and easy-to-use. In order to enable a closer integration into existing analysis pipelines, interfaces to Python and MATLAB are provided. The practical use is demonstrated by a source analysis example of somatosensory evoked potentials using a realistic six compartment head model. Detailed installation instructions and example scripts using spherical and realistic head models are appended.",
author = "Sophie Schrader and Andreas Westhoff and Piastra, {Maria Carla} and Tuuli Miinalainen and Sampsa Pursiainen and Johannes Vorwerk and Heinrich Brinck and Wolters, {Carsten H.} and Christian Engwer",
note = "Funding Information: A.W. and C.E. were funded by the DFG (https://www.dfg.de/en) through the Cluster of Excellence {"}Cells in Motion{"} (EXC 1003- 194347757), and C.E. additionally by the Cluster of Excellence {"}Mathematics M?nster: Dynamics - Geometry - Structure{"} (EXC 2044-390685587). S.S. and C.H.W. were supported by the DFG through project WO1425/7-1 and C.H.W. additionally by the DFG priority program SPP1665, project WO1425/5-2. M.C.P. and C.H.W. were supported by EU project ChildBrain (Marie Curie Innovative Training Networks, grant agreement 641652, http://www.childbrain.eu). S.P. and T.M. were supported by the Academy of Finland (AoF) key project (305055), T.M. by the tenure track funding by Tampere University, and S.P. by the Centre of Excellence in Inverse Modelling and Imaging (AoF 336792), bilateral (M?nster- Tampere) mobility funding (AoF 326668), and ERA-NET PerMed project PerEpi (AoF 344712), see https://www.aka.fi/en/. S.S., C.H.W. and S.P. were additionally supported by a bilateral (M?nster- Tampere) researcher exhange project by DAAD (57405052) and AoF (317165) and C.H.W. and S. P. by its successor by DAAD (57523877) and AoF (334465), see https://www.daad.de/en and https:// www.aka.fi/en. J.V. was supported by the Austrian Wissenschaftsfonds (FWF), project I 3790-B27 (https://www.fwf.ac.at/en). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2021 Schrader et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2021",
month = jun,
doi = "10.1371/journal.pone.0252431",
language = "English",
volume = "16",
number = "6",
}