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ISBI
2008
IEEE

Examining associations between FMRI and EEG data using canonical correlation analysis

13 years 10 months ago
Examining associations between FMRI and EEG data using canonical correlation analysis
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide complementary information about the brain function. We propose a novel scheme to examine associations between these two modalities using canonical correlation analysis (CCA). Our multimodal canonical correlation analysis (mCCA) scheme utilizes inter-subject covariations to quantitatively link the two modalities and to estimate the spatio-temporal areas of association. We evaluate the performance of mCCA using simulated fMRI- and EEGlike data and note its ability to effectively identify associations across modalities. Also, our experiments on actual data from an auditory oddball task reveals associations of the temporal and motor areas with the N2 and P3 peaks, a finding that is consistent with previous studies. Additionally, we compare the performance of mCCA to the recently introduced joint-ICA technique for estimating spatio-temporal connections from multimodal data and discuss the advantages and ...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ISBI
Authors Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vince D. Calhoun
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