DocumentCode :
700120
Title :
A temporally constrained spatial ICA for separation of seizure bold from FMRI
Author :
Min Jing ; Sanei, Saeid
Author_Institution :
Centre of Digital Signal Process., Cardiff Univ., Cardiff, UK
fYear :
2008
fDate :
25-29 Aug. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Application of spatial Independent Component Analysis (ICA) to functional magnetic resonance imaging (fMRI) subject to the simultaneously recorded electroencephalography (EEG) signals as constraint, has been investigated in this work. In this novel approach, the closeness between the time course of spatial independent components of fMRI and EEG signals during epileptic seizure period is introduced as the constraint to the separation process. The performance of the algorithm has been tested on a set of simultaneous EEG and fMRI data and the results show a more accurate localization of the blood-oxygenated level-dependence (BOLD) regions, better algorithm convergence, and a higher correlation between the time course of spatial components and the seizure EEG signals than the conventional ICA method.
Keywords :
biomedical MRI; blood; electroencephalography; independent component analysis; medical image processing; EEG signal; FMRI; blood-oxygenated level-dependence region; electroencephalography signal; epileptic seizure period; functional magnetic resonance imaging; independent component analysis; seizure BOLD separation; spatial ICA; Abstracts; Brain modeling; Equations; Silicon; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne
ISSN :
2219-5491
Type :
conf
Filename :
7080652
Link To Document :
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