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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/2F5B708C-214A-4B4C-A04F-20ABC0C97E04 | - |
| Identifier | https://ieeexplore.ieee.org/document/7591975/ | - |
| Identifier | https://doi.org/10.1109/EMBC.2016.7591975 | - |
| Language | en | - |
| Extent | 4 pages | en |
| Title | Mining cross-frequency coupling microstates from resting state MEG: an application to 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 | Papanicolaou, Andrew C | en |
| Creator | Zouridakis, George | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Recent 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 |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-10-09 | - |
| Date of Publication | 2016 | - |
| Subject | Measurement | en |
| Subject | Time series analysis | en |
| Subject | Couplings | en |
| Subject | Frequency control | en |
| Subject | Sensors | en |
| Subject | Prototypes | en |
| Subject | Brain | en |
| Bibliographic Citation | M. 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.2016.7591975 | en |
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