Institute for Biomagnetism and Biosignalanalysis, University of Münster, Munster, Germany.
Applied Mathematics: Institute for Analysis and Numerics, University of Münster, Munster, Germany.
PLoS One. 2021 Jun 4;16(6):e0252431. doi: 10.1371/journal.pone.0252431. eCollection 2021.
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.
在电和磁脑图中使用复杂的现实头部几何形状进行准确和高效的源分析需要先进的数值方法。本文介绍了 DUNEuro，这是一个用于生物电磁数值计算的免费开源 C++软件工具箱，用于正向解决方案。它建立在 DUNE 框架之上，提供了现代拟合和不拟合有限元方法的实现，以有效地解决电和磁脑图的正向问题。用户可以在各种不同的源模型中进行选择。该软件的目的是提供可扩展和易于使用的接口。为了能够更紧密地集成到现有的分析管道中，提供了与 Python 和 MATLAB 的接口。通过使用现实的六室头部模型对体感诱发电位进行源分析示例来演示其实用性。详细的安装说明和使用球形和现实头部模型的示例脚本都包含在附录中。
