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Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI |
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| Authors: | Federico De Martino Giancarlo Valente Aline W de Borst Fabrizio Esposito Alard Roebroeck Rainer Goebel Elia Formisano |
| Institution: | 1. Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands;2. Department of Neuroscience, University of Naples “Federico II”, 80125 Naples, Italy;3. Department of Neuroscience, University of Pisa, Pisa, Italy |
| Abstract: | The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been proposed as a tool to study brain dynamics with both high temporal and high spatial resolution. Multimodal imaging techniques rely on the assumption of a common neuronal source for the different recorded signals. In order to maximally exploit the combination of these techniques, one needs to understand the coupling (i.e., the relation) between electroencephalographic (EEG) and fMRI blood oxygen level-dependent (BOLD) signals. |
| Keywords: | Multimodal imaging Univariate and multivariate methods EEG/fMRI |
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