Is ICA of fMRI data able to find haemodynamic fluctuations related to epilepsy without help of EEG?

Is ICA of fMRI data able to find haemodynamic fluctuations related to epilepsy without help of EEG?

Abstract

Traditional approach to epilepsy localization using functional magnetic resonance imaging (fMRI) technique utilizes timings of spike EEG events in so called spike-informed general linear model. Simultaneous fMRI-EEG examination represents a challenging problem in terms of both technical equipment and signal processing. Main goals of our work were to show that haemodynamic changes related to epilepsy can be detected in the blood oxygen level dependent (BOLD) signal without using EEG, and to find optimal settings for the used independent component analysis (ICA) decomposition.

Traditional approach to epilepsy localization using functional magnetic resonance imaging (fMRI) technique utilizes timings of spike EEG events in so called spike-informed general linear model. Simultaneous fMRI-EEG examination represents a challenging problem in terms of both technical equipment and signal processing. Main goals of our work were to show that haemodynamic changes related to epilepsy can be detected in the blood oxygen level dependent (BOLD) signal without using EEG, and to find optimal settings for the used independent component analysis (ICA) decomposition.

ICA, fMRI, epilepsy, resection mask

ICA, fMRI, epilepsy, resection mask

SLAVÍČEK, T.; LAMOŠ, M.; MAREČEK, R.; BRÁZDIL, M.; MIKL, M.; HAVLÍČEK, M.; JAN, J.

2014

01.05.2014

1388-2457

CLINICAL NEUROPHYSIOLOGY

125

5

Ireland

e28

e28

1