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DUNEuro—A software toolbox for forward modeling in bioelectromagnetism

Author

Listed:
  • Sophie Schrader
  • Andreas Westhoff
  • Maria Carla Piastra
  • Tuuli Miinalainen
  • Sampsa Pursiainen
  • Johannes Vorwerk
  • Heinrich Brinck
  • Carsten H Wolters
  • Christian Engwer

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.

Suggested Citation

  • Sophie Schrader & Andreas Westhoff & Maria Carla Piastra & Tuuli Miinalainen & Sampsa Pursiainen & Johannes Vorwerk & Heinrich Brinck & Carsten H Wolters & Christian Engwer, 2021. "DUNEuro—A software toolbox for forward modeling in bioelectromagnetism," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-21, June.
    • Handle: RePEc:plo:pone00:0252431
    DOI: 10.1371/journal.pone.0252431
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    References listed on IDEAS

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    1. Paul T E Cusack, 2020. "The Human Brain," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 31(3), pages 24261-24266, October.
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    Cited by:

    1. Hao Shen & Yuguo Yu, 2023. "Robust Evaluation and Comparison of EEG Source Localization Algorithms for Accurate Reconstruction of Deep Cortical Activity," Mathematics, MDPI, vol. 11(11), pages 1-24, May.

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