relation: http://eprints.imtlucca.it/3240/
title: Parcellation-based connectome assessment by using structural and functional connectivity
creator: Lin, Ying-Chia
creator: Gili, Tommaso
creator: Tsaftaris, Sotirios A.
creator: Gabrielli, Andrea
creator: Iorio, Mariangela
creator: Spalletta, Gianfranco
creator: Caldarelli, Guido
subject: QA75 Electronic computers. Computer science
subject: RZ Other systems of medicine
description: 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.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Lin, Ying-Chia and Gili, Tommaso and Tsaftaris, Sotirios A. and Gabrielli, Andrea and Iorio, Mariangela and Spalletta, Gianfranco and Caldarelli, Guido  Parcellation-based connectome assessment by using structural and functional connectivity.  In: 24th Annual Meeting ISMRM, May 7-13, 2016, Singapore       (In Press)   (2016)