DocumentCode
471492
Title
Estimation of Cortical Dipole Sources by Equivalent Dipole Layer Imaging and Independent Component Analysis
Author
Aoki, Naotoshi ; Hori, Junichi ; He, Bin
Author_Institution
Dept. of Biocybernetics, Niigata Univ.
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
992
Lastpage
995
Abstract
We explored suitable estimation method for equivalent dipole sources in the brain. In a previous study, we solved an inverse problem that estimated an equivalent dipole-layer distribution from the scalp electroencephalogram by a spatio-temporal inverse filters constructed with parametric projection filter. In the present study, we estimated equivalent dipole sources from dipole layer distributions. Moreover, to identify the number, position, and moment of equivalent dipole sources, we separated each dipole layer distribution using independent component analysis (ICA). The performance of the proposed estimation method was evaluated by computer simulation and human experimental studies in an inhomogeneous three-concentric sphere head model. The present simulation results indicated that the equivalent dipole sources was accurately estimated by ICA and dipole imaging. We also applied the proposed method to human visual evoked potential
Keywords
brain; digital simulation; electroencephalography; independent component analysis; medical computing; neurophysiology; brain; computer simulation; cortical dipole source; dipole layer distribution; equivalent dipole layer imaging; human visual evoked potential; independent component analysis; inhomogeneous three-concentric sphere head model; parametric projection filter; scalp electroencephalogram; spatio-temporal inverse filter; Brain modeling; Cities and towns; Electroencephalography; Filters; Head; High-resolution imaging; Humans; Independent component analysis; Inverse problems; Scalp;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259907
Filename
4461920
Link To Document