relation: http://eprints.imtlucca.it/3239/
title: A cortical and sub-cortical parcellation clustering by intrinsic 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: 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.
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  A cortical and sub-cortical parcellation clustering by intrinsic functional connectivity.  In: 24th Annual Meeting ISMRM, May 7-13, 2016, Singapore       (In Press)   (2016)