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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-
Identifierhttps://ieeexplore.ieee.org/document/7320108/-
Identifierhttps://doi.org/10.1109/EMBC.2015.7320108-
Languageen-
Extent4 pagesen
TitleComparison of brain network models using cross-frequency coupling and attack strategiesen
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorRezaie Roozbehen
CreatorAntonakakis Mariosen
CreatorΑντωνακακης Μαριοςel
CreatorDimitriadis Stavros I.en
CreatorBabajani-Feremi Abbasen
CreatorΜιχελογιάννης Σήφηςel
CreatorMicheloyannis Sifisen
CreatorMichelogiannis Sifisen
CreatorZouridakis, Georgeen
CreatorPapanicolaou, Andrew Cen
PublisherInstitute of Electrical and Electronics Engineersen
Content SummarySeveral 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
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-26-
Date of Publication2015-
SubjectEEGen
SubjectElectroencephalographyen
Bibliographic CitationM. 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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