Antonakakis, Mario, Dimitriadis, Stavros ORCID: https://orcid.org/0000-0002-0000-5392, Zervakis, Michalis, Micheloyannis, Sifis, Rezaie, Roozbeh, Babajani-Feremi, Abbas, Zouridakis, George and Papanicolaou, Andrew C. 2016. Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury. International Journal of Psychophysiology 102 , pp. 1-11. 10.1016/j.ijpsycho.2016.02.002 |
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Abstract
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.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) |
Subjects: | R Medicine > R Medicine (General) |
Publisher: | Elsevier |
ISSN: | 0167-8760 |
Date of First Compliant Deposit: | 14 November 2016 |
Date of Acceptance: | 16 February 2016 |
Last Modified: | 12 Nov 2023 19:38 |
URI: | https://orca.cardiff.ac.uk/id/eprint/96100 |
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