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)

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Abstract

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
Research Area:	Computer Science and Applications
Depositing User:	Ying-Chia Lin
Date Deposited:	14 Mar 2016 13:03
Last Modified:	16 Mar 2016 07:32
URI:	http://eprints.imtlucca.it/id/eprint/3225

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• A cortical and sub-cortical parcellation clustering by intrinsic functional connectivity. (deposited 14 Mar 2016 13:03) [Currently Displayed]
  • A cortical and sub-cortical parcellation clustering by intrinsic functional connectivity. (deposited 21 Mar 2016 08:41)

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