DocumentCode :
140676
Title :
Three-layer-isotropic skull conductivity representation in the EEG forward problem using spherical head models
Author :
Cuartas-Morales, E. ; Hallez, Hans ; Vanrumste, Bart ; Castellanos-Dominguez, German
Author_Institution :
Signal Process. & Recognition Group, Univ. Nac. de Colombia, Manizales, Colombia
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4904
Lastpage :
4907
Abstract :
We study the influence of different conductivity models within the framework of electroencephalogram (EEG) source localization on the white matter and skull areas. Particularly, we investigate five different spherical models having either isotropic or anisotropic conductivity for both considered areas. To this end, the anisotropic finite difference reciprocity method is used for solving the EEG forward problem. We evaluate a model of a numeric skull conductivity in terms of the minimum dipole localization/orientation error. As a result, both considered models of the skull reach the lowest dipole localization error (less than 6 mm), namely: i) single anisotropic layer and ii) three isotropic layers (hard bone/spongy bone/hard bone). Additionally, two different electrode configurations (10-20 and 10 - 10 systems) are tested showing that the error decreases almost as much as twice for the latter one though the computational burden significantly increases.
Keywords :
anisotropic media; bioelectric potentials; bone; computational complexity; electric moments; electrical conductivity; electroencephalography; error analysis; finite difference methods; neurophysiology; physiological models; EEG forward problem; anisotropic conductivity; anisotropic finite difference reciprocity method; computational burden; conductivity model effect; electrode configuration testing; electroencephalogram source localization; error reduction; hard bone-spongy bone-hard bone layers; minimum dipole localization error; minimum dipole orientation error; numeric skull conductivity; single anisotropic layer; skull model; spherical head models; three-layer-isotropic skull conductivity representation; white matter; Brain models; Computational modeling; Conductivity; Electrodes; Electroencephalography; Numerical models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944723
Filename :
6944723
Link To Document :
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