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Mining cross-frequency coupling microstates from resting state MEG: an application to mild traumatic brain injury

Antonakakis Marios, Dimitriadis Stavros I., Zervakis Michail, Papanicolaou, Andrew C, Zouridakis, George

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/2F5B708C-214A-4B4C-A04F-20ABC0C97E04-
Αναγνωριστικόhttps://ieeexplore.ieee.org/document/7591975/-
Αναγνωριστικόhttps://doi.org/10.1109/EMBC.2016.7591975-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςMining cross-frequency coupling microstates from resting state MEG: an application to mild traumatic brain injuryen
ΔημιουργόςAntonakakis Mariosen
ΔημιουργόςΑντωνακακης Μαριοςel
ΔημιουργόςDimitriadis Stavros I.en
ΔημιουργόςZervakis Michailen
ΔημιουργόςΖερβακης Μιχαηλel
ΔημιουργόςPapanicolaou, Andrew Cen
ΔημιουργόςZouridakis, Georgeen
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηRecent studies have investigated the possible role of dynamic functional connectivity and the role of cross-frequency coupling (CFC) to provide the substrate for reliable biomarkers of brain disorders. In this study, we analyzed time-varying CFC profiles from resting state Magnetoencephal-ographic recordings of 30 mild Traumatic Brain Injury (mTBI) patients and 50 normal controls. Interactions among sensors at specific pairs of frequency bands were computed via estimation of phase-to-amplitude couplings. We then computed time-varying functional connectivity graphs that were described in terms of segregation (local efficiency, LE) and integration (global efficiency, GE) and mapped those graphs to time series of GE/LE estimates. The resulting dynamic network revealed transitions between a limited number of microstates for mTBI subjects compared to controls. The significant differences in transition probability between the two groups, along with the limited repertoire of possible states, can form the basis for a robust dynamic connectomic biomarker for the diagnosis of mTBI.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-10-09-
Ημερομηνία Δημοσίευσης2016-
Θεματική ΚατηγορίαMeasurementen
Θεματική ΚατηγορίαTime series analysisen
Θεματική ΚατηγορίαCouplingsen
Θεματική ΚατηγορίαFrequency controlen
Θεματική ΚατηγορίαSensorsen
Θεματική ΚατηγορίαPrototypesen
Θεματική ΚατηγορίαBrainen
Βιβλιογραφική ΑναφοράM. Antonakakis, S. I. Dimitriadis, M. Zervakis, A. C. Papanicolaou and G. Zouridakis, "Mining cross-frequency coupling microstates from resting state MEG: an application to mild traumatic brain injury," in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016, pp. 5513-5516. doi: 10.1109/EMBC.2016.7591975en

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