Paola Valsasina1, Maria Assunta Rocca1,2, Paolo Misci1, Elisabetta Pagani1, Andrea Falini3, Massimo Filippi1,2
1Neuroimaging Research Unit, Scientific Institute Hospital San Raffaele, Milan, Italy; 2Department of Neurology, Scientific Institute Hospital San Raffaele, Milan, Italy; 3CERMAC, Scientific Institute Hospital San Raffaele, Milan, Italy
Aim of this study was to combine in a multivariate analysis several methods for the assessment of resting state (RS) fMRI data, including functional connectivity (FC), regional homogeneity (ReHo), amplitude of low-frequency fluctuations (ALFF) and independent component analysis (ICA), focussing in particular on the default-mode network (DMN). FC, ReHo and ICA were able to find a spatial pattern, consistent across approaches, resembling the DMN. The regional information given from all approaches was only partially correlated. The combined used of all these methods in a multivariate analysis might be useful to have a more global description of the RS networks.