A parallel particle method for solving the EEG source localization forward problem

2011 ◽  
Author(s):  
Omer Demirel ◽  
Birte Schrader ◽  
Ivo F. Sbalzarini
Keyword(s):  
Source Localization ◽  
Particle Method ◽  
Forward Problem ◽  
Eeg Source Localization

Evaluation of Different EEG Source Localization Methods Using Testing Localization Errors

2013 ◽  
Vol 62 (3) ◽  
Author(s):  
Leila SaeidiAsl ◽  
Tahir Ahmad
Keyword(s):  
Inverse Problem ◽  
Source Localization ◽  
Forward Problem ◽  
Potential Fields ◽  
Uniqueness Property ◽  
Localization Errors ◽  
Source Models ◽  
Eeg Source Localization ◽  
The Brain ◽  
Dipolar Source

The ideas underlying the quantitative localization of the sources of the EEG review within the brain along with the current and emerging approaches to the problem. The ideas mentioned consist of distributed and dipolar source models and head models ranging from the spherical to the more realistic based on the boundary and finite elements. The forward and inverse problems in electroencephalography will debate. The inverse problem has non-uniqueness property in nature. More precisely, different combinations of sources can produce similar potential fields occur on the head. In contrast, the forward problem does have a unique solution. The forward problem calculates the potential field at the scalp from known source locations, source strengths and conductivity in the head, and it can be used to solve the inverse problem. In the final part of this paper, we compare the performance of three well–known EEG source localization techniques which applied to the underdetermined (distributed) source localization of the inverse problem. These techniques consist of LORETA, WMN and MN, which comparing by testing localization error.

scholarly journals Unsupervised Segmentation of Head Tissues from Multi-modal MR Images for EEG Source Localization

2014 ◽  
Vol 28 (4) ◽  
pp. 499-514 ◽  
Author(s):  
Qaiser Mahmood ◽  
Artur Chodorowski ◽  
Andrew Mehnert ◽  
Johanna Gellermann ◽  
Mikael Persson
Keyword(s):  
Source Localization ◽  
Mr Images ◽  
Unsupervised Segmentation ◽  
Eeg Source Localization

Influence of Anisotropic Blood Vessels Modeling on EEG Source Localization

2017 ◽  
pp. 384-393
Author(s):  
E. Cuartas-Morales ◽  
Angel Torrado-Carvajal ◽  
Juan Antonio Hernandez-Tamames ◽  
Norberto Malpica ◽  
G. Castellanos-Dominguez
Keyword(s):  
Blood Vessels ◽  
Source Localization ◽  
Eeg Source Localization

scholarly journals Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model

2017 ◽  
Vol 27 (1) ◽  
pp. 46-56 ◽  
Author(s):  
Sajib Saha ◽  
Rajib Rana ◽  
Yakov Nesterets ◽  
Murat Tahtali ◽  
Frank de Hoog ◽  
...  
Keyword(s):  
Source Localization ◽  
Head Model ◽  
Realistic Head Model ◽  
Eeg Source Localization

Computational aspects of finite element modeling in EEG source localization

1997 ◽  
Vol 44 (8) ◽  
pp. 736-752 ◽  
Author(s):  
K.A. Awada ◽  
D.R. Jackson ◽  
J.T. Williams ◽  
D.R. Wilton ◽  
S.B. Baumann ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Source Localization ◽  
Element Modeling ◽  
Computational Aspects ◽  
Eeg Source Localization
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