Jose Angel Pineda-Pardo1, 2, Elena Molina1, Ana Beatriz Solana1, Kenia Martinez3, Roberto Colom3, Javier Martin Buldu4, Juan Antonio Hernandez Tamames1, Francisco del Pozo Guerrero2
1Laboratory of Neuroimaging, Center for Biomedical Technology - Universidad Politecnica de Madrid and Universidad Rey Juan Carlos, Pozuelo de Alarcon, Madrid, Spain; 2Laboratory of Biosignal and Brain Connectivity Analysis, Center for Biomedical Technology - UPM, Pozuelo de Alarcon, Madrid, Spain; 3Universidad Autonoma de Madrid, Spain; 4Laboratory of Biological Networks, Center for Biomedical Technology - UPM, Pozuelo de Alarcon, Madrid, Spain
In this work we present a new comparative approach aiming to find differences between structural connectivity and resting state functional connectivity (SC-rsFC) networks focusing in the organization of their connections. We compare weights distribution, normalized graph metrics, links orientation, and Rentian scaling in order to find out how rsFC differs from SC network. Structural connectivity was obtained by means of a graph based tractography method instead of usual deterministic tractography. We found out that rsFC network was less spatially optimized than SC in terms of Rentian scaling and normalized graph metrics. We also observed different tendencies in the links orientations when the weights distributions of the networks are compared.
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