Background The aim of electroencephalogram (EEG) source localization is to find the brain
areas responsible for EEG waves of interest. It consists of solving forward and inverse …

We survey the field of magnetoencephalography (MEG) and electroencephalography (EEG)
source estimation. These modalities offer the potential for functional brain mapping with …

Electromagnetic source characterisation requires accurate volume conductor models
representing head geometry and the electrical conductivity field. Head tissue conductivity is …

For accurate EEG/MEG source analysis it is necessary to model the head volume conductor
as realistic as possible. This includes the distinction of the different conductive …

Objective: The goal of this project was to develop a quantitative understanding of the volume
of axonal tissue directly activated by deep brain stimulation (DBS) of the subthalamic …

Despite the clinical success of deep brain stimulation (DBS) for the treatment of movement
disorders, many questions remain about its effects on the nervous system. This study …

Subject-specific four-layer boundary element method (BEM) electrical forward head models
for four participants, generated from magnetic resonance (MR) head images using NFT …

To achieve a deeper understanding of the brain, scientists, and clinicians use
electroencephalography (EEG) and magnetoencephalography (MEG) inverse methods to …

An important difference between magnetoencephalography (MEG) and
electroencephalography (EEG) is that MEG is insensitive to radially oriented sources. We …

We used computer simulations to investigate finite element models of the layered structure
of the human skull in EEG source analysis. Local models, where each skull location was …