64 citations · 114 across the 10 of their papers we have counts for
11 papers
The Effects of Peeling on Finite Element Method -based EEG Source Reconstruction
Santtu Söderholm, Joonas Lahtinen, Carsten H. Wolters +1
The problem of reconstructing brain activity from electric potential measurements performed on the surface of a human head is not an easy task: not just because the solution of the…
CutFEM forward modeling for EEG source analysis
Tim Erdbrügger, Andreas Westhoff, Malte Hoeltershinken +9
Source analysis of Electroencephalography (EEG) data requires the computation of the scalp potential induced by current sources in the brain. This so-called EEG forward problem is…
Validation of EEG forward modeling approaches in the presence of anisotropy in the source space
Florian Drechsler, Johannes Vorwerk, Jens Haueisen +2
The quality of the inverse approach in electroencephalography (EEG) source analysis is - among other things - depending on the accuracy of the forward modeling approach, i.e., the…
Realistic head modeling of electromagnetic brain activity: An integrated Brainstorm pipeline from MRI data to the FEM solution
Takfarinas Medani, Juan Garcia-Prieto, Francois Tadel +6
Human brain activity generates scalp potentials (electroencephalography EEG), intracranial potentials (iEEG), and external magnetic fields (magnetoencephalography MEG), all capable…
DUNEuro -- A software toolbox for forward modeling in bioelectromagnetism
Sophie Schrader, Andreas Westhoff, Maria Carla Piastra +6
Accurate and efficient source analysis in electro- and magnetoencephalography using sophisticated realistic head geometries requires advanced numerical approaches. This paper prese…
Bayesian Modelling of Skull Conductivity Uncertainties in EEG Source Imaging
Ville Rimpiläinen, Alexandra Koulouri, Felix Lucka +2
Knowing the correct skull conductivity is crucial for the accuracy of EEG source imaging, but unfortunately, its true value, which is inter- and intra-individually varying, is diff…
Advanced boundary electrode modeling for tES and parallel tES/EEG
Britte Agsten, Sven Wagner, Sampsa Pursiainen +1
This paper explores advanced electrode modeling in the context of separate and parallel transcranial electrical stimulation (tES) and electroencephalography (EEG) measurements. We…
A Mixed Finite Element Method to Solve the EEG Forward Problem
Johannes Vorwerk, Christian Engwer, Sampsa Pursiainen +1
Finite element methods have been shown to achieve high accuracies in numerically solving the EEG forward problem and they enable the realistic modeling of complex geometries and im…
The Unfitted Discontinuous Galerkin Method for Solving the EEG Forward Problem
Andreas Nüßing, Carsten H. Wolters, Heinrich Brinck +1
Objective: The purpose of this study is to introduce and evaluate the unfitted discontinuous Galerkin finite element method (UDG-FEM) for solving the electroencephalography (EEG) f…
A discontinuous Galerkin Method for the EEG Forward Problem using the Subtraction Approach
Christian Engwer, Johannes Vorwerk, Jakob Ludewig +1
In order to perform electroencephalography (EEG) source reconstruction, i.e., to localize the sources underlying a measured EEG, the electric potential distribution at the electrod…
An optimization approach for well-targeted transcranial direct current stimulation
Sven Wagner, Martin Burger, Carsten H. Wolters
Transcranial direct current stimulation is a non-invasive brain stimulation technique which modifies neural excitability by providing weak currents through scalp electrodes. The ai…