A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities

S Asadzadeh, TY Rezaii, S Beheshti, A Delpak… - Journal of neuroscience …, 2020 - Elsevier
In recent years, multiple noninvasive imaging modalities have been used to develop a better
understanding of the human brain functionality, including positron emission tomography …

Variation in reported human head tissue electrical conductivity values

H McCann, G Pisano, L Beltrachini - Brain topography, 2019 - Springer
Electromagnetic source characterisation requires accurate volume conductor models
representing head geometry and the electrical conductivity field. Head tissue conductivity is …

Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art

JD Nielsen, KH Madsen, O Puonti, HR Siebner… - Neuroimage, 2018 - Elsevier
Anatomically realistic volume conductor models of the human head are important for
accurate forward modeling of the electric field during transcranial brain stimulation (TBS) …

A guideline for head volume conductor modeling in EEG and MEG

J Vorwerk, JH Cho, S Rampp, H Hamer, TR Knösche… - NeuroImage, 2014 - Elsevier
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 …

Advances in electrical source imaging: a review of the current approaches, applications and challenges

I Zorzos, I Kakkos, EM Ventouras, GK Matsopoulos - Signals, 2021 - mdpi.com
Brain source localization has been consistently implemented over the recent years to
elucidate complex brain operations, pairing the high temporal resolution of the EEG with the …

A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources

MC Piastra, A Nüßing, J Vorwerk, M Clerc… - Human Brain …, 2021 - Wiley Online Library
Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography
(EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge …

The FieldTrip-SimBio pipeline for EEG forward solutions

J Vorwerk, R Oostenveld, MC Piastra, L Magyari… - Biomedical engineering …, 2018 - Springer
Background Accurately solving the electroencephalography (EEG) forward problem is
crucial for precise EEG source analysis. Previous studies have shown that the use of …

[HTML][HTML] Inter-subject variability of skull conductivity and thickness in calibrated realistic head models

M Antonakakis, S Schrader, Ü Aydin, A Khan, J Gross… - Neuroimage, 2020 - Elsevier
Skull conductivity has a substantial influence on EEG and combined EEG and MEG source
analysis as well as on optimized transcranial electric stimulation. To overcome the use of …

Influence of head tissue conductivity uncertainties on EEG dipole reconstruction

J Vorwerk, Ü Aydin, CH Wolters… - Frontiers in neuroscience, 2019 - frontiersin.org
Reliable EEG source analysis depends on sufficiently detailed and accurate head models.
In this study, we investigate how uncertainties inherent to the experimentally determined …

[HTML][HTML] Influence of the head model on EEG and MEG source connectivity analyses

JH Cho, J Vorwerk, CH Wolters, TR Knösche - Neuroimage, 2015 - Elsevier
The results of brain connectivity analysis using reconstructed source time courses derived
from EEG and MEG data depend on a number of algorithmic choices. While previous studies …