Lin, Ying-Chia and Gili, Tommaso and Tsaftaris, Sotirios A. and Gabrielli, Andrea and Iorio, Mariangela and Spalletta, Gianfranco and Caldarelli, Guido Parcellation-based connectome assessment by using structural and functional connectivity. In: 24th Annual Meeting ISMRM, May 7-13, 2016, Singapore (In Press) (2016)
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Abstract
Connectome analysis of the human brain structural and functional architecture provides a unique opportunity to understand the organization of brain networks. In this work, we investigate a novel large scale parcellation-based connectome, merging together information coming from resting state fMRI (rs-fMRI) data and diffusion tensor imaging (DTI) measurements.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| 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/3240 |
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Parcellation-based connectome assessment by using structural and functional connectivity. (deposited 14 Mar 2016 13:01)
- Parcellation-based connectome assessment by using structural and functional connectivity. (deposited 21 Mar 2016 08:41) [Currently Displayed]
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