![Ιδρυματικό Αποθετήριο [SANDBOX]](images/dias.logo.png "Ιδρυματικό Αποθετήριο [SANDBOX]"){kind=logo}
Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/0B5C2900-EE70-4627-BE11-03C600326D88 | - |
| Αναγνωριστικό | https://doi.org/10.1109/BIBE.2019.00113 | - |
| Αναγνωριστικό | https://ieeexplore.ieee.org/document/8941741 | - |
| Γλώσσα | en | - |
| Μέγεθος | 5 pages | en |
| Τίτλος | Effective connectivity in the primary somatosensory network using combined EEG and MEG | en |
| Δημιουργός | Politof Konstantinos | en |
| Δημιουργός | Πολιτωφ Κωνσταντινος | el |
| Δημιουργός | Antonakakis Marios | en |
| Δημιουργός | Αντωνακακης Μαριος | el |
| Δημιουργός | Wollbrink Andreas | en |
| Δημιουργός | Zervakis Michail | en |
| Δημιουργός | Ζερβακης Μιχαηλ | el |
| Δημιουργός | Wolters Carsten Hermann | en |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περίληψη | The primary somatosensory cortex remains one of the most investigated brain areas. However, there is still an absence of an integrated methodology to describe the early temporal alterations in the primary somatosensory network. Source analysis based on combined Electro-(EEG) and Magneto-(MEG) Encephalography (EMEG) has been recently shown to outperform the one's based on single modality EEG or MEG. The study and potential of combined EMEG form the goal of the current study, which investigates the time-variant connectivity of the primary somatosensory network. A subject-individualized pipeline combines a functional source separation approach with the effective connectivity analysis of different spatiotemporal source patterns using a realistic and skull-conductivity calibrated head model. Three-time windows are chosen for each modality EEG, MEG, and EMEG to highlight the thalamocortical and corticocortical interactions. The results show that EMEG is promising in suppressing a so-called connectivity 'leakage' effect when later components seem to influence earlier components, just due to too similar leadfields. Our current results support the notion that EMEG is superior in suppressing the spurious flows within a network of very rapid alterations. | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2020-04-10 | - |
| Ημερομηνία Δημοσίευσης | 2019 | - |
| Θεματική Κατηγορία | Connectivity Analysis | en |
| Θεματική Κατηγορία | Electroencephalography | en |
| Θεματική Κατηγορία | Finite element modeling | en |
| Θεματική Κατηγορία | Functional Source Separation | en |
| Θεματική Κατηγορία | Magnetoencephalography | en |
| Θεματική Κατηγορία | Primary somatosensory cortex | en |
| Θεματική Κατηγορία | Source Analysis | en |
| Βιβλιογραφική Αναφορά | K. Politof, M. Antonakakis, A. Wollbrink, M. Zervakis and C.H. Wolters, "Effective connectivity in the primary somatosensory network using combined EEG and MEG," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 593-597. doi: 10.1109/BIBE.2019.00113 | en |
Copyright © DIAS 2013
