Joint independent component analysis for simultaneous EEG–fMRI: Principle and simulation Export

@article{citeulike:1706941, abstract = {An optimized scheme for the fusion of electroencephalography and event related potentials with functional magnetic resonance imaging (BOLD–fMRI) data should simultaneously assess all available electrophysiologic and hemodynamic information in a common data space. In doing so, it should be possible to identify features of latent neural sources whose trial-to-trial dynamics are jointly reflected in both modalities. We present a joint independent component analysis (jICA) model for analysis of simultaneous single trial EEG–fMRI measurements from multiple subjects. We outline the general idea underlying the jICA approach and present results from simulated data under realistic noise conditions. Our results indicate that this approach is a feasible and physiologically plausible data-driven way to achieve spatiotemporal mapping of event related responses in the human brain.}, address = {Department of Biological and Medical Psychology, University of Bergen, Jonas Lies Vei 91, 5011 Bergen, Norway.}, author = {Moosmann, M. and Eichele, T. and Nordby, H. and Hugdahl, K. and Calhoun, V.}, citeulike-article-id = {1706941}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.ijpsycho.2007.05.016}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0167876007001602}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17688965}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17688965}, day = {12}, doi = {10.1016/j.ijpsycho.2007.05.016}, issn = {01678760}, journal = {International Journal of Psychophysiology}, keywords = {eeg, fmri, ica}, month = {March}, number = {3}, pages = {212--221}, posted-at = {2007-09-29 03:04:24}, priority = {2}, title = {Joint independent component analysis for simultaneous EEG–fMRI: Principle and simulation}, url = {http://dx.doi.org/10.1016/j.ijpsycho.2007.05.016}, volume = {67}, year = {2008} }

TY - JOUR ID - citeulike:1706941 L3 - citeulike-article-id:1706941 N2 - An optimized scheme for the fusion of electroencephalography and event related potentials with functional magnetic resonance imaging (BOLD–fMRI) data should simultaneously assess all available electrophysiologic and hemodynamic information in a common data space. In doing so, it should be possible to identify features of latent neural sources whose trial-to-trial dynamics are jointly reflected in both modalities. We present a joint independent component analysis (jICA) model for analysis of simultaneous single trial EEG–fMRI measurements from multiple subjects. We outline the general idea underlying the jICA approach and present results from simulated data under realistic noise conditions. Our results indicate that this approach is a feasible and physiologically plausible data-driven way to achieve spatiotemporal mapping of event related responses in the human brain. IS - 3 JF - International Journal of Psychophysiology SN - 01678760 AD - Department of Biological and Medical Psychology, University of Bergen, Jonas Lies Vei 91, 5011 Bergen, Norway. EP - 221 TI - Joint independent component analysis for simultaneous EEG–fMRI: Principle and simulation VL - 67 SP - 212 KW - eeg KW - fmri KW - ica AU - Moosmann, M AU - Eichele, T AU - Nordby, H AU - Hugdahl, K AU - Calhoun, V PY - 2008/03/12/ UR - http://dx.doi.org/10.1016/j.ijpsycho.2007.05.016 ER -