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A temporally constrained spatial ICA for separation of seizure BOLD from FMRI

Jing, M and Sanei, S (2008) A temporally constrained spatial ICA for separation of seizure BOLD from FMRI European Signal Processing Conference.

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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. copyright by EURASIP.

Item Type: Article
Authors :
AuthorsEmailORCID
Jing, MUNSPECIFIEDUNSPECIFIED
Sanei, SUNSPECIFIEDUNSPECIFIED
Date : 2008
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:13
Last Modified : 28 Mar 2017 14:13
URI: http://epubs.surrey.ac.uk/id/eprint/742636

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