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Abstract #3742

Parcellation-based connectome assessment by using structural and functional connectivity

Ying-Chia Lin1, Tommaso Gili2,3, Sotirios A. Tsaftaris 1,4, Andrea Gabrielli5, Mariangela Iorio3, Gianfranco Spalletta3, and Guido Caldarelli1

1IMT Institute for Advanced Studies Lucca, Lucca, Italy, 2Enrico Fermi Centre, Rome, Italy, 3IRCCS Fondazione Santa Lucia, Rome, Italy, 4Institute of Digital Communications, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom, 5ISC-CNR, UOS Sapienza, Dipartimento di Fisica, Universita Sapienza, Rome, Italy

Connectome analysis of the human brain structural and functional architecture provides a unique opportunity to understand the organization of brain networks. In this work, we investigate a novel large scale parcellation-based connectome, merging together information coming from resting state fMRI (rs-fMRI) data and diffusion tensor imaging (DTI) measurements.

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