%0 Conference Paper
%A Lin, Ying-Chia
%A Gili, Tommaso
%A Tsaftaris, Sotirios A.
%A Gabrielli, Andrea
%A Iorio, Mariangela
%A Spalletta, Gianfranco
%A Caldarelli, Guido
%B 24th Annual Meeting ISMRM
%C Singapore
%D 2016
%F eprints:3239
%T A cortical and sub-cortical parcellation clustering by intrinsic functional connectivity
%U http://eprints.imtlucca.it/3239/
%X Network analysis of resting-state fMRI (rsfMRI) has been widely utilized to investigate the functional architecture of the whole brain. Here we propose a robust parcellation method that first divides cortical and sub-cortical regions into sub-regions by clustering the rsfMRI data for each subject independently, and then merges those individual parcellations to obtain a global whole brain parcellation. To do so our method relies on majority voting (to merge parcellations of multiple subjects) and enforces spatial constraints within a hierarchical agglomerative clustering framework to define parcels that are spatially homogeneous.