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A method is presented to process functional Magnetic Resonance Imaging (fMRI) data to detect the activation of the working memory network in patients affected by schizophrenia and normal controls. The method is based on the Independent Component Analysis (ICA) and allows to decompose the fMRI signal into statistically independent patterns which could correspond to different brain activation patterns.
A method is presented to process functional Magnetic Resonance Imaging (fMRI) data acquired in a Variable Attentional Control Task Experiment (VACT) to study activation properties in patients affected by schizophrenia. The method is based on the Canonical Correlation Analysis (CCA) and allows to process data of groups of patients by performing a group analysis (e.g. by means of the ANOVA method).
Over the past decade there have been many investigations aimed at defining the role of scientists and research groups in their coauthorship networks. Starting from the assumptions of network analysis, in this work we propose an analytical definition of a collaboration potential between authors of scientific papers based on both coauthorships and content sharing. The collaboration potential can also...
This paper presents two examples of application of Synthetic Aperture Radar (SAR) interferometry (InSAR) to typical geomorphological problems. The principles of InSAR are introduced, taking care to clarify the limits and the potential of this technique for geomorphological studies. The application of InSAR to the quantification of landform attributes such as the slope and to the estimation of landform...
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