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Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in Schizophrenia
Neuroimaging modalities such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide information about neurological functions in complementary spatiotemporal resolutions; therefore, fusion of these modalities is expected to provide better understanding of brain activity.
Enhancing ICA Performance by Exploiting Sparsity: Application to FMRI Analysis
Independent component analysis (ICA) is a powerful method for blind source separation based on the assumption that sources are statistically independent.
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