Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury

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

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/340DD917-8765-4E11-8391-96066A8CD6F1-
Αναγνωριστικόhttps://www.sciencedirect.com/science/article/abs/pii/S0167876016300198-
Αναγνωριστικόhttps://doi.org/10.1016/j.ijpsycho.2016.02.002-
Γλώσσαen-
Μέγεθος11 pagesen
ΤίτλοςAltered cross-frequency coupling in resting-state MEG after mild traumatic brain injuryen
ΔημιουργόςAntonakakis Mariosen
ΔημιουργόςΑντωνακακης Μαριοςel
ΔημιουργόςDimitriadis Stavros I.en
ΔημιουργόςZervakis Michailen
ΔημιουργόςΖερβακης Μιχαηλel
ΔημιουργόςMicheloyannis Sifisen
ΔημιουργόςRezaie Roozbehen
ΔημιουργόςBabajani-Feremi Abbasen
ΔημιουργόςZouridakis, Georgeen
ΔημιουργόςPapanicolaou, Andrew Cen
ΕκδότηςElsevieren
ΠερίληψηCross-frequency coupling (CFC) is thought to represent a basic mechanism of functional integration of neural networks across distant brain regions. In this study, we analyzed CFC profiles from resting state Magnetoencephalographic (MEG) recordings obtained from 30 mild traumatic brain injury (mTBI) patients and 50 controls. We used mutual information (MI) to quantify the phase-to-amplitude coupling (PAC) of activity among the recording sensors in six nonoverlapping frequency bands. After forming the CFC-based functional connectivity graphs, we employed a tensor representation and tensor subspace analysis to identify the optimal set of features for subject classification as mTBI or control. Our results showed that controls formed a dense network of stronger local and global connections indicating higher functional integration compared to mTBI patients. Furthermore, mTBI patients could be separated from controls with more than 90% classification accuracy. These findings indicate that analysis of brain networks computed from resting-state MEG with PAC and tensorial representation of connectivity profiles may provide a valuable biomarker for the diagnosis of mTBI.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-10-16-
Ημερομηνία Δημοσίευσης2016-
Θεματική ΚατηγορίαBiomarkersen
Θεματική ΚατηγορίαCross-frequency couplingen
Θεματική ΚατηγορίαMagnetoencephalography (MEG)en
Θεματική ΚατηγορίαMild traumatic brain injuryen
Θεματική ΚατηγορίαTensorsen
Βιβλιογραφική ΑναφοράM. Antonakakis, S. I. Dimitriadis, M. Zervakis, S. Micheloyannis, R. Rezaie, A. Babajani-Feremi, G. Zouridakis and A. C. Papanicolaou, "Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury," Int. J. Psychophysiol., vol. 102, pp. 1-11, Apr. 2016. doi: 10.1016/j.ijpsycho.2016.02.002en

Υπηρεσίες

Στατιστικά