eprintid: 3224
rev_number: 28
eprint_status: archive
userid: 63
dir: disk0/00/00/32/24
datestamp: 2016-03-14 13:01:55
lastmod: 2016-03-16 07:32:22
status_changed: 2016-03-14 13:01:55
type: conference_item
metadata_visibility: no_search
creators_name: Lin, Ying-Chia
creators_name: Gili, Tommaso
creators_name: Tsaftaris, Sotirios A.
creators_name: Gabrielli, Andrea
creators_name: Iorio, Mariangela
creators_name: Spalletta, Gianfranco
creators_name: Caldarelli, Guido
creators_id: yingchia.lin@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: guido.caldarelli@imtlucca.it
title: Parcellation-based connectome assessment by using structural and functional connectivity
ispublished: inpress
subjects: QA75
subjects: RZ
divisions: CSA
full_text_status: none
pres_type: poster
abstract: 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: 2016-05
date_type: submitted
event_title: 24th Annual Meeting ISMRM
event_location: Singapore
event_dates: May 7-13, 2016
event_type: conference
refereed: TRUE
citation:   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)