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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/A3B42337-6C2B-4D8A-97B6-C6AA9DCC9405 | - |
| Identifier | https://doi.org/10.1109/JBHI.2018.2868918 | - |
| Identifier | https://ieeexplore.ieee.org/document/8456502 | - |
| Language | en | - |
| Extent | 10 pages | en |
| Title | Functional connectivity analysis of cerebellum using spatially constrained spectral clustering | en |
| Creator | Pezoulas Vasileios | en |
| Creator | Πεζουλας Βασιλειος | el |
| Creator | Michalopoulos Konstantinos | en |
| Creator | Klados Manousos | en |
| Creator | Μιχελογιάννης Σήφης | el |
| Creator | Michelogiannis Sifis | en |
| Creator | Micheloyannis Sifis | en |
| Creator | Bourbakis, Nikolaos G | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | The human cerebellum contains almost 50% of the neurons in the brain, although its volume does not exceed 10% of the total brain volume. The goal of this study is to derive the functional network of the cerebellum during the resting-state and then compare the ensuing group networks between males and females. Toward this direction, a spatially constrained version of the classic spectral clustering algorithm is proposed and then compared against conventional spectral graph theory approaches, such as spectral clustering, and N-cut, on synthetic data as well as on resting-state fMRI data obtained from the Human Connectome Project (HCP). The extracted atlas was combined with the anatomical atlas of the cerebellum resulting in a functional atlas with 46 regions of interest. As a final step, a gender-based network analysis of the cerebellum was performed using the data-driven atlas along with the concept of the minimum spanning trees. The simulation analysis results confirm the dominance of the spatially constrained spectral clustering approach in discriminating activation patterns under noisy conditions. The network analysis results reveal statistically significant differences in the optimal tree organization between males and females. In addition, the dominance of the left VI lobule in both genders supports the results reported in a previous study of ours. To our knowledge, the extracted atlas comprises the first resting-state atlas of the cerebellum based on HCP data. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2020-05-28 | - |
| Date of Publication | 2019 | - |
| Subject | Cerebellum | en |
| Subject | Gender | en |
| Subject | Minimum spanning trees | en |
| Subject | Resting-state fMRI | en |
| Subject | Spatially constrained spectral clustering | en |
| Bibliographic Citation | V.C. Pezoulas, K. Michalopoulos, M.A. Klados, S. Micheloyannis, N.G. Bourbakis and M. Zervakis, "Functional connectivity analysis of cerebellum using spatially constrained spectral clustering," IEEE J. Biomed. Health Inform., vol. 23, no. 4, pp. 1710-1719, Jul. 2019. doi: 10.1109/JBHI.2018.2868918 | en |
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