Modeling and experimental parameters influence the Electro‐(EEG) and
Magnetoencephalography (MEG) source analysis of the somatosensory P20/N20 …

The problem of precisely estimating the position and orientation of multiple dipoles using
synthetic EEG signals is considered in this paper. After determining a proper forward model …

In order to perform electroencephalography (EEG) source reconstruction, ie, to localize the
sources underlying a measured EEG, the electric potential distribution at the electrodes …

This paper introduces an automated approach for generating a finite element (FE)
discretization of a multi-compartment human head model for electroencephalographic (EEG) …

Accurate and efficient source analysis in electro-and magnetoencephalography using
sophisticated realistic head geometries requires advanced numerical approaches. This …

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 …

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 …

This study concentrates on finite-element-method (FEM)-based electroencephalography
(EEG) forward simulation in which the electric potential evoked by neural activity in the brain …

For accurate EEG forward solutions, it is necessary to apply numerical methods that allow to
take into account the realistic geometry of the subject's head. A commonly used method to …

In electroencephalography (EEG) source analysis, a primary current density generated by
the neural activity of the brain is reconstructed from external electrode voltage …