Abstract #3742

Parcellation-based connectome assessment by using structural and functional connectivity

Ying-Chia Lin¹, Tommaso Gili^2,3, 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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