PerEpi Publikationen

  • Söderholm S, Samavaki M, Pursiainen S, A Complete-Electrode-Model-Based Forward Approach for Transcranial Temporal Interference Stimulation with Linearization: Numerical Simulation Study, arxiv 2506.18436 (2025). https://arxiv.org/abs/2506.18436

  • 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 Journal on Scientific Computing, 47(1): B160-B189 (2025), doi: 10.1137/23M1582874.

  • Unnwongse K, Wolters CH, Wehner T, Krüger LT, Rampp S, Wellmer J, Introducing the Concept of Error Vectors to Improve Source Localization Results of Epileptic Discharges, J Clin Neurophysiol, in press (2025). doi: 10.1097/WNP.0000000000001170
  • Kluger DS, Erdbrügger T, Stier C, Höltershinken MB, Saltafossi M, Unnwongse K, Wehner T, Wellmer J, Gross J, Wolters CH, Respiratory modulations of cortical excitability and interictal spike timing in focal epilepsy - a case report, Communications Medicine, 5(108):1-7 (2025), doi: 10.1038/s43856-025-00811-z.
  • Lahtinen, J., Ronni, P., Subramaniyam, N.P., Koulouri, A., Wolters, C.H., Pursiainen, S., Standardized Kalman Filtering for Time Serial Source Localization of Simultaneous Subcortical and Cortical Brain Activity, Clin. Neurophysiol., 168:15-24, (2024). doi: 10.1016/j.clinph.2024.09.021 Also avaiable as: TechRxiv, (2023). doi: 10.36227/techrxiv.24427180.v1.
  • 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). 10.1002/hbm.26810
  • Antonakakis, M., Kaiser, F., Rampp, S., Kovac, S., Wiendl, H., Stummer, W., Gross, J., Kellinghaus, C., Khaleghi-Ghadiri, M., Möddel, G., Wolters, C.H., Targeted and optimized multi-channel transcranial direct current stimulation for focal epilepsy: An N-of-1 trial, Brain Stimulation, 17(2):221-223, Suppl mat 26 pp (2024), doi: 10.1016/j.brs.2024.02.010.
  • Lahtinen, J., On Bias and Its Reduction via Standardization in Discretized Electromagnetic Source Localization Problems, Inverse Problems, in press (2024). doi:10.1088/1361-6420/ad5f53
  • Lahtinen, J., Rezaei, A., Pursiainen, S., Effects of source space resolution, randomization and averaging in focal EEG source localization: Estimation of forward and inverse errors, Journal of Computational and Applied Mathematics, 115922 (2024), 10.1016/j.cam.2024.115922.
  • Vorwerk, J., Wolters, C.H., Baumgarten, D., Global Sensitivity of EEG Source Analysis to Tissue Conductivity Uncertainties, Frontiers in Human Neuroscience, 18:133521218 (2024), 10.3389/fnhum.2024.1335212.
  • Buschermöhle, Y., Höltershinken, M., Erdbrügger,T., Radecke, J.-O., Sprenger,A., Schneider, T., Lencer, R., Gross, J., Wolters, C.H., Comparing the Performance of Beamformer Algorithms in Estimating Orientations of NeuralSources, iScience, 109150 (2024), 10.1016/j.isci.2024.109150.
  • Lahtinen, J., Koulouri, A., Rampp, S., Wellmer, J., Wolters, C.H., Pursiainen, S., Standardized hierarchical adaptive Lp regression for noise robust focal epilepsy source reconstructions. Clin. Neurophysiol., 159:24-40(2024), doi: 10.1016/j.clinph.2023.12.001.
  • Söderholm, S., Lahtinen, J., Wolters, C.H., Pursiainen, S., The Effects of Peeling on Finite Element Method -based EEG Source Reconstruction, Biomedical Signal Processing & Control, 89:105695 (2023), 10.1016/j.bspc.2023.105695.
  • Yesilbas, D., Melnik, S., Rampp, S., Kellinghaus, C., Kovac, S., Möddel, G., Güven, A., Batbat, T., Wolters, C.H., Comparison of Feature Extraction Methods for Spike Detection with Artificial Neural Networks: A Focal Epilepsy Case Study, 57th DGBMT Annual Conference on Biomedical Engineering (DGBMT2023), Duisburg, Germany, Sept.26-28, (2023), E-Poster.
  • Buschermöhle, Y., Erdbrügger, T., Radecke, J.-O., Sprenger, A., Schneider, T.R., Lencer, R., Gross, J., Wolters, C.H., Inter-subject differences in orientations and locations of stimulation targets in the visuo-motor network, 57th DGBMT Annual Conference on Biomedical Engineering (DGBMT2023), Duisburg, Germany, Sept.26-28, (2023), E-Poster.
  • Erdbrügger, T., Höltershinken, M., Radecke, J.-O., Buschermöhle, Y., Buyx, A., Wallois, F., Pursiainen, S., Lencer, R., Gross, J., Engwer, C., Wolters, C.H., Contribution of CutFEM-based EEG/MEG source analysis to the reconstruction of the primary somatosensory response: A group study, 57th DGBMT Annual Conference on Biomedical Engineering (DGBMT2023), Duisburg, Germany, Sept.26-28, (2023), E-Poster.
  • Buschermöhle Y, Höltershinken M, Erdbrügger T, Radecke J-O, Sprenger A, Schneider T, Lencer R, Gross J, Wolters CH, Comparing the Performance of Beamformer Algorithms in Estimating Orientations of Neural Sources, iScience Sneak Peek, 32pp (2023), doi: 10.2139/ssrn.4523138
  • Erdbrügger T, Westhoff A, Höltershinken M, Radecke J-O, Buschermöhle Y, Buyx A, Wallois F, Pursiainen S, Gross J, Lencer R, Engwer C, Wolters CH, CutFEM forward modeling for EEG source analysis. Front.Hum. Neurosci., 17:1216758 (2023),  doi: 10.3389/fnhum.2023.1216758.
  • Radecke J-O, Fiene M, Misselhorn J, Herrmann CS, Engel AK, Wolters CH, Schneider TR, Personalized alpha-tACS targeting left posterior parietal cortex modulates visuo-spatial attention and posterior evoked EEG activity, Brain Stimulation, pp.1-15 (2023). doi: 10.1016/j.brs.2023.06.013
  • 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
  • Khan A, Antonakakis M, Suntrup-Krüger S, Lencer R, Nitsche M, Paulus W, Gross J, Wolters CH, Can individually targeted and optimized multi-channel tDCS outperform standard bipolar tDCS in stimulating the primary somatosensory cortex? Brain Stimulation, 16(1), pp.1-16 (2023). doi: 10.1016/j.brs.2022.12.006
  • Unnwongse K, Rampp S, Wehner T, Kowoll A, Parpaley Y, von Lehe M, Lanfer B, Rusinial M, Wolters CH, Wellmer J, Validating EEG Source Imaging using Intracranial Electrical Stimulation, Brain Communications, fcad023 (2023). doi: 10.1093/braincomms/fcad023
  • Erdbrügger T, Westhoff A, Höltershinken M, Radecke J-O, Buschermöhle Y, Buyx A, Wallois F, Pursiainen S, Gross J, Lencer R, Engwer C, Wolters CH, CutFEM forward modeling for EEG source analysis, arXiv:2211.17093 (2022). doi: https://arxiv.org/abs/2211.17093.
  • Neugebauer F, Antonakakis M, Unnwongse K, Parpalev J, Wellmer J, RamppS, 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
  • Khan, A., Antonakakis, M., Vogenauer, N., Haueisen, J., Wolters, C.H., Individually optimized multi-channel tDCS for targeting somatosensory cortex, Clin. Neurophysiol., 134:9-26, (2022), doi: 10.1016/j.clinph.2021.10.016
  • Rezaei, A., Lahtinen, J., Neugebauer, F., Antonakakis,M., Piastra, M.C.,Koulouri, A., Wolters, C.H., Pursiainen, S., Reconstructing Subcortical and Cortical Somatosensory Activity via the RAMUS Inverse Source Analysis Technique using Median Nerve SEP Data, NeuroImage, 245:118726 (2021), doi: 10.1016/j.neuroimage.2021.118726
  • Gross, J., Junghöfer, M., Wolters, C.H., Bioelectromagnetism in human brain research: New applications, new questions. The Neuroscientist, (2021). doi: 10.1177/10738584211054742
  • Schrader, S., Westhoff, A., Piastra, M.C., Miinalainen, T., Pursiainen, S., Vorwerk, J., Brinck, H., Wolters, C.H., Engwer, C., DUNEuro—A software toolbox for forward modeling in bioelectromagnetism. PLoS ONE, 16(6):e0252431 (2021), doi: 10.1371/journal.pone.0252431
  • Rezaei, A., Antonakakis, M., Piastra, M.C., Wolters, C.H., Pursiainen, S.,Parametrizing the Conditionally Gaussian Prior Model for Source Localization with Reference to the P20/N20 Component of Median NerveSEP/SEF, Brain Sciences, 10(12), 934 (2020), doi: 10.3390/brainsci10120934

PerEpi Dissertationen

  • Malte Höltershinken, "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

  • Lahtinen J, 03/2025, „Mathematical Methods for the Neuroelectromagnetic Inverse Problem for Focal and Unbiased Brain Imaging“. pdf

  • Tim Erdbrügger, "CutFEM for EEG and MEG source analysis and optimized multi-channel transcranial direct current stimulation", PhD thesis, Universität Münster, 09/2024. Eversion

  • Asad Khan, ”Modeling and measuring the effects of individually optimized multi-channel transcranial direct current stimulation on the human brain”, PhD thesis, University of Münster in collaboration with TU Ilmenau, Germany, Dec.2023. Eversion
  • Atena Rezaei, "Forward and Inverse Modeling via Finite Elements in EEG/MEG Source Localization : Application to Event Related Responses, Faculty of Engineering and Natural Sciences, Tampere University, Finland, Dec.2021. Eversion

Masterarbeiten

  • Gronotte, T., 11/2025, ”Impact of Grey Matter Conductivity Anisotropy on EEG and ME G Source Estimation”, Master Thesis in Mathematics, Universität Münster, pdf.

  • Kallass M, 04/2025, ”The Influence of Source Extent in EEG/MEG Source Reconstruction of Visually Evoked Responses”, Master Thesis, Universität Münster, pdf

  • Winkler J, 07/2025, „EEG- und MEG-Quelllokalisierung mithilfe von simulationsbasierten Deep Learning Methoden“, Masterarbeit, Hochschule für angewandte Wissenschaften Ansbach, Fakultät Technik, Studiengang Applied Research in Engineering Sciences (APR), pdf

  • Wittig A, 02/2023, „Multilevel uncertainty quantifications for EEG source analysis“, pdf

  • Delatolas A, 06/2022, Electromagnetic Brain Source Analysis with Statistical and Deep Learning Approaches, Diploma Thesis, Technical University of Crete, Greece, in cooperation with PerEpi. pdf

  • Simone Wlotzka, 10/2022, ”Detection of interictal epileptiform discharges(IED) in EEG using Machine Learning”, pdf

  • Alexander Frank, 04/2022, ”Sensitivity of optimization of transcranial di-rect current stimulation to electrode modeling”, pdf
  • Fabian Kaiser, 01/2022, ”Optimization of transcranial electrical stimulation montages to reduce seizure frequency and severity in patients with refractory focal epilepsy”, pdf
  • Pia Lange, 12/2021, ”The Localized Subtraction Source Model for Solving the EEG and MEG Forward Problem using the Continuous Galerkin Finite Element Method”    
  • Paul Lunkenheimer, 12/2021, ”Comparison of Boundary Element Fast Multipole and Finite Element Methods for the solution of the EEG forward problem”    
  • Malte Höltershinken, 11/2021, ”Efficient Computation of Transfer Matrices using the Block Conjugate Gradient Method” , pdf  
  • Tim Erdbrügger, 03/2021, ”CutFEM forward modeling for geometries with touching surfaces in bioelectromagnetism”, pdf