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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/340DD917-8765-4E11-8391-96066A8CD6F1 | - |
| Identifier | https://www.sciencedirect.com/science/article/abs/pii/S0167876016300198 | - |
| Identifier | https://doi.org/10.1016/j.ijpsycho.2016.02.002 | - |
| Language | en | - |
| Extent | 11 pages | en |
| Title | Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury | en |
| Creator | Antonakakis Marios | en |
| Creator | Αντωνακακης Μαριος | el |
| Creator | Dimitriadis Stavros I. | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Creator | Μιχελογιάννης Σήφης | el |
| Creator | Michelogiannis Sifis | en |
| Creator | Micheloyannis Sifis | en |
| Creator | Rezaie Roozbeh | en |
| Creator | Babajani-Feremi Abbas | en |
| Creator | Zouridakis, George | en |
| Creator | Papanicolaou, Andrew C | en |
| Publisher | Elsevier | en |
| Content Summary | 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 |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-10-16 | - |
| Date of Publication | 2016 | - |
| Subject | Biomarkers | en |
| Subject | Cross-frequency coupling | en |
| Subject | Magnetoencephalography (MEG) | en |
| Subject | Mild traumatic brain injury | en |
| Subject | Tensors | en |
| Bibliographic Citation | M. 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.2016.02.002 | en |
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