Improving data-driven EEG-FMRI analyses for the study of cognitive functioning (2011)
Abstract / truncated to 115 words
Understanding the cognitive processes that are going on in the human brain, requires the combination of several types of observations. For this reason, since several years, neuroscience research started to focus on multimodal approaches. One such multimodal approach is the combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). The non-invasive character of these two modalities makes their combination not only harmless and painless, but also especially suited for widespread research in both clinical and experimental applications. Moreover, the complementarity between the high temporal resolution of the EEG and the high spatial resolution of the fMRI, allows obtaining a more complete picture of the processes under study. However, the combination of EEG and fMRI ... toggle 7 keywordsDSP – numalg – ICA – multilinear algebra – PCA – tensors – biomedical signal processing
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