Logo eprints

A cortical and sub-cortical parcellation clustering by intrinsic functional connectivity

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)

This is the latest version of this item.

Full text not available from this repository.


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.

Item Type: Conference or Workshop Item (Speech)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RZ Other systems of medicine
Research Area: Computer Science and Applications
Depositing User: Ying-Chia Lin
Date Deposited: 21 Mar 2016 08:41
Last Modified: 21 Mar 2016 08:41
URI: http://eprints.imtlucca.it/id/eprint/3239

Available Versions of this Item

Actions (login required)

Edit Item Edit Item