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

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

Αντωνακακης Μαριος (EL)
Ζερβακης Μιχαηλ (EL)
Μιχελογιάννης Σήφης (EL)
Papanicolaou, Andrew C (EN)
Zouridakis, George (EN)
Antonakakis Marios (EN)
Dimitriadis Stavros I. (EN)
Michelogiannis SifisMicheloyannis Sifis (EN)
Rezaie Roozbeh (EN)
Zervakis Michail (EN)
Babajani-Feremi Abbas (EN)

journalArticle

2016


Cross-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)

Magnetoencephalography (MEG) (EN)
Tensors (EN)
Mild traumatic brain injury (EN)
Biomarkers (EN)
Cross-frequency coupling (EN)

International Journal of Psychophysiology (EN)

English

Elsevier (EN)

Πολυτεχνείο Κρήτης (EL)
Technical University of Crete (EN)




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