Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task

Multimodal approaches to brain imaging are getting increasingly popular among the neuroscience comunity. One such multimodal approach is the combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). In this paper we demonstrate two EEG-fMRI integration methods for contour integration task. First, we derrive the contour-selectivity measures from event related potential (ERP) and fMRI data, and explore the correlation between the two. In this way, we connect the spatial information from fMRI with the temporal information from ERPs. Thereafter, the results from this approach are compare to JointICA integration approach [5], [6], which aims at extracting spatio-temporal independent components, which are the combination of ERP and fMRI activations. ispartof: pages:6019-6022 ispartof: Proc. of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society vol:2013 pages:6019-6022 ispartof: 35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) location:Osaka, Japan date:3 Jul - 7 Jul 2013 status: published