64 citations · 132 across the 7 of their papers we have counts for
8 papers
Scatter-based common spatial patterns -- a unified spatial filtering framework
Jinlong Dong, Milana Komosar, Johannes Vorwerk +2
The common spatial pattern (CSP) approach is known as one of the most popular spatial filtering techniques for EEG classification in motor imagery (MI) based brain-computer interfa…
Online functional connectivity analysis of large all-to-all networks
Lorenz Esch, Jinlong Dong, Matti Hämäläinen +3
The analysis of EEG/MEG functional connectivity has become an important tool in neural research. Especially the high time resolution of EEG/MEG enables important insight into the f…
The Local Subtraction Approach For EEG and MEG Forward Modeling
Malte B. Höltershinken, Pia Lange, Tim Erdbrügger +7
EDIT: A revised version of this article has been published in the SIAM Journal on Scientific Computing, see https://epubs.siam.org/doi/full/10.1137/23M1582874. In the revised versi…
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…
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…
Electroencephalography (EEG) Forward Modeling via H(div) Finite Element Sources with Focal Interpolation
Sampsa Pursiainen, Johannes Vorwerk, Carsten H. Wolters
The goal of this study is to develop focal, accurate and robust finite element method (FEM) based approaches which can predict the electric potential on the surface of the computat…
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…
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…