If you use DUNEuro, please cite our main software publication:

Schrader S, Westhoff A, Piastra MC, Miinalainen T, Pursiainen S, Vorwerk J, Brinck H, Wolters CH, Engwer C, DUNEuro- A software toolbox for forward modeling in bioelectromagnetism, PLoS ONE, 16(6):e0252431 (2021). doi: 10.1371/journal.pone.0252431

Publications on DUNEuro interfacing to other neuroscientific toolboxes

  • Medani T, Garcia-Prieto J, Tadel F, Antonakakis M, Erdbrügger T, Höltershinken M, Mead W, Schrader S, Joshi A, Engwer C, Wolters CH, Mosher JC, Leahy RM, Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity, NeuroImage, 267, pp.119851 (2023). doi 10.1016/j.neuroimage.2022.119851
  • Medani T, Garcia-Prieto J, Tadel F, Schrader S, Antonakakis M, Joshi A, Engwer C, Wolters CH, Mosher J, Leahy R, "Realistic head modeling of electromagnetic brain activity: an integrated Brainstorm-DUNEuro pipeline from MRI data to the FEM solutions," Proc. SPIE 11595, Medical Imaging 2021: Physics of Medical Imaging, 1159554 (15 February 2021); doi: 10.1117/12.2580935
  • FieldTrip-DUNEuro (see also FieldTrip)

Publications on DUNEuro development of new methods

  • Gronotte, T., 11/2025, ”Impact of Grey Matter Conductivity Anisotropy on EEG and ME G Source Estimation”, Master Thesis in Mathematics, Universität Münster, pdf.
  • Höltershinken, Malte, "New mathematics for EEG/MEG source analysis and individually optimized transcranial electric stimulation and application in a case study of focal epilepsy", PhD thesis, Universität Münster, 12/2025. Eversion
  • Höltershinken MB, Lange P, Erdbrügger T, Buschermöhle Y, Wallois F, Buyx A, Pursiainen S, Vorwerk J, Engwer C, Wolters CH, The Local Subtraction Approach For EEG and MEG Forward Modeling, SIAM J. on Scientific Computing, SIAM Journal on Scientific Computing, 47(1): B160-B189 (2025), doi: 10.1137/23M1582874.
  • Erdbrügger, Tim , "CutFEM for EEG and MEG source analysis and optimized multi-channel transcranial direct current stimulation", PhD thesis, Universität Münster, 09/2024. Eversion
  • Erdbrügger, T., Höltershinken, M., Radecke, J.-O.,Buschermöhle, Y., Wallois, F., Pursiainen, S., Gross, J., Lencer, R., Engwer, C.,Wolters, C.H., CutFEM-based MEG forward modeling improves source separability and sensitivity to quasi-radial sources: a somatosensory group study. Human Brain Mapping, 45(11):e26810 (2024). doi:10.1002/hbm.26810.
  • Erdbrügger, T., Antonakakis, M., Aydin, Ü., Vorwerk,J., Höltershinken, M., Schrader, S., Piastra,  M.C., Westhoff, A., Engwer, C. , Wolters, C.H., The University of Münster DUNEuro-based pipeline to create personalized head models with calibrated skull conductivity for EEG/MEG source analysis and optimized multi-channel tES (2024) DOI: 10.5281/zenodo.11066431.
  • Erdbrügger, T., Westhoff, A., Höltershinken, M., Radecke, J.-O., Buschermöhle, Y., Buyx, A., Wallois, F., Pursiainen, S., Gross, J., Lencer, R., Engwer, C., Wolters, C.H., CutFEM forward modeling for EEG source analysis. Front. Hum. Neurosci., 17:1216758 (2023), doi: 10.3389/fnhum.2023.1216758
  • Miinalainen T, Rezaei A, Us D, Nüßing A, Engwer C, Wolters CH, Pursiainen S, A realistic, accurate and fast source modeling approach for the EEG forward problem, NeuroImage, 184:56-67 (2019), doi: 10.1016/j.neuroimage.2018.08.054
  • Piastra MC, Nüßing A, Vorwerk J, Bornfleth H, Oostenveld R, Engwer C, Wolters CH, The Discontinuous Galerkin Finite Element Method for Solving the MEG and the combined MEG/EEG Forward Problem, Frontiers in Neuroscience, 12:30, (2018), doi: 10.3389/fnins.2018.00030
  • Vorwerk J, Engwer C, Pursiainen S, Wolters CH, A Mixed Finite Element Method to Solve the EEG Forward Problem, IEEE Transactions on Medical Imaging, 36(4):930-941 (2017), doi: 10.1109/TMI.2016.2624634
  • Engwer C, Vorwerk J, Ludewig J, Wolters CH, A Discontinuous Galerkin Method for the EEG Forward Problem, SIAM J. on Scientific Computing, 39 (1), B138–B164 (2017), doi: 10.1137/15M1048392
  • Nüßing A, Wolters CH, Brinck H, Engwer C, The Unfitted Discontinuous Galerkin Method for Solving the EEG Forward Problem, IEEE Trans Biomed Eng, 63(12), pp.2564–2575 (2016), doi: 10.1109/TBME.2016.2590740

Publications on DUNEuro applications

  • Gronotte, T., 11/2025, ”Impact of Grey Matter Conductivity Anisotropy on EEG and ME G Source Estimation”, Master Thesis in Mathematics, Universität Münster, pdf.
  • Neugebauer F, Antonakakis M, Unnwongse K, Parpalev J, Wellmer J, Rampp S, Wolters CH, Validating EEG, MEG and combined MEG and EEG beamforming for an estimation of the epileptogenic zone in focal cortical dysplasia, Brain Sciences, 12(1), 114 (2022), doi: 10.3390/brainsci12010114
  • Piastra MC, Nüßing A, Vorwerk J, Clerc M, Engwer C, Wolters CH, A Comprehensive Study on EEG and MEG Sensitivity to Cortical and Subcortical Sources, Human Brain Mapping, 42:978-992 (2021), doi: 10.1002/hbm.25272