STATE OF THE ART AND PROPOSED INTEGRATION OF RESTING FMRI DATA WITH OTHER MODALITIES (BY ÁLVARO PLANCHUELO)
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Direct comparison of functional magnetic resonance imaging (fMRI) data between groups of patients with schizophrenia and bipolar disorder and healthy controls has been performed in multiple studies in the literature. In recent reviews, it has been proposed that new studies should move towards the integration of data from different sources, e.g., fMRI and electroencephalography (EEG), to better understand the relationship between different types of disturbances in psychosis.
One method previously employed to analyze patients with schizophrenia in the state of the art is the combination of multimodal Canonical Correlation Analysis (mCCA) with Joint Independent Component Analysis (jICA). Some previous studies have detected relationships between gray matter volume, white matter integrity and resting functional activity, albeit with statistical limitations and without the possibility of employing data processed as graph theory parameters or functional or structural connectivity.
Therefore, a future line of research of the group consists in the study of the possible relationship between resting functional connectivity and structural connectivity, from functional resonance and diffusion data, respectively, together with the integration of network parameters obtained from EEG processing.