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