DocumentCode :
1717184
Title :
Influence of conductivity tensors in the finite element model of the head on the forward solution of EEG
Author :
Kim, Sungheon ; Kim, Tae-Seong ; Zhou, Yongxia ; Singh, Manbir
Author_Institution :
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume :
4
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
1892
Lastpage :
1896
Abstract :
The influence of conductivity tensor on the forward solution of electroencephalography (EEG) was assessed in the 2D head models of a human subject. The conductivity tensors of the different regions of the head were estimated from the diffusion tensor images by scaling the mean trace values to the published conductivity values. The anisotropic conductivity model was compared with the isotropic conductivity model in terms of the difference between the scalp potentials. The differences were measured by the cross correlation (CC) and the relative error (RE) between two models. The results with 252 individual dipole source show the CC is 0.96 and the RE is 31.24%. Although the CC is high, the large RE indicates that there is a significant amount of asymmetrical magnitude change on the scalp potential by the conductivity tensor. It indicates that the influence will also affect the inverse solutions of localizing the current dipole source
Keywords :
electroencephalography; finite element analysis; medical image processing; EEG; anisotropic conductivity model; asymmetrical magnitude change; conductivity tensor; conductivity tensors; cross correlation; current dipole source; electroencephalography; finite element model; inverse solutions; isotropic conductivity model; scalp potential; scalp potentials; Anisotropic magnetoresistance; Biomedical engineering; Biomedical measurements; Brain modeling; Conductivity; Electroencephalography; Finite element methods; Head; Inverse problems; Tensile stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2001 IEEE
Conference_Location :
San Diego, CA
ISSN :
1082-3654
Print_ISBN :
0-7803-7324-3
Type :
conf
DOI :
10.1109/NSSMIC.2001.1009193
Filename :
1009193
Link To Document :
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