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Comparison of brain network models using cross-frequency coupling and attack strategies

Zervakis Michail, Rezaie Roozbeh, Antonakakis Marios, Dimitriadis Stavros I., Babajani-Feremi Abbas, Μιχελογιάννης Σήφης, Zouridakis, George, Papanicolaou, Andrew C

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URIhttp://purl.tuc.gr/dl/dias/CC30C001-EE33-498B-A39D-A0C4D1C047C9-
Αναγνωριστικόhttps://ieeexplore.ieee.org/document/7320108/-
Αναγνωριστικόhttps://doi.org/10.1109/EMBC.2015.7320108-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςComparison of brain network models using cross-frequency coupling and attack strategiesen
ΔημιουργόςZervakis Michailen
ΔημιουργόςΖερβακης Μιχαηλel
ΔημιουργόςRezaie Roozbehen
ΔημιουργόςAntonakakis Mariosen
ΔημιουργόςΑντωνακακης Μαριοςel
ΔημιουργόςDimitriadis Stavros I.en
ΔημιουργόςBabajani-Feremi Abbasen
ΔημιουργόςΜιχελογιάννης Σήφηςel
ΔημιουργόςMicheloyannis Sifisen
ΔημιουργόςMichelogiannis Sifisen
ΔημιουργόςZouridakis, Georgeen
ΔημιουργόςPapanicolaou, Andrew Cen
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηSeveral neuroimaging studies have suggested that functional brain connectivity networks exhibit “small-world” characteristics, whereas recent studies based on structural data have proposed a “rich-club” organization of whereby hubs of high connection density tend to connect among themselves compared to nodes of lower density brain networks. In this study, we adopted an “attack strategy” to compare the rich-club and small-world organizations and identify the model that describes best the topology of brain connectivity. We hypothesized that the highest reduction in global efficiency caused by a targeted attack on each model’s hubs would reveal the organization that better describes the topology of the underlying brain . We applied this approach to magnetoencephalographic data obtained at rest from neurologically intact controls and mild traumatic brain injury patients. Functional connectivity networks were computed using phase-to-amplitude cross- frequency coupling between the δ and β frequency bands. Our results suggest that resting state MEG connectivity networks follow a rich-club organization.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-26-
Ημερομηνία Δημοσίευσης2015-
Θεματική ΚατηγορίαEEGen
Θεματική ΚατηγορίαElectroencephalographyen
Βιβλιογραφική ΑναφοράM. Antonakakis, S. I. Dimitriadis, M. Zervakis, R. Rezaie, A. B Feremi, S. Micheloyannis, G. Zouridakis and A. C. Papanicolaou, "Comparison of brain network models using cross-frequency coupling and attack strategies," in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015, pp. 7426-7429. doi: 10.1109/EMBC.2015.7320108el

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