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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/9A2BCFCE-1C4A-4DA1-9E14-4C242ECCDCEA | - |
| Identifier | https://doi.org/10.1109/BHI.2018.8333378 | - |
| Identifier | https://ieeexplore.ieee.org/document/8333378 | - |
| Language | en | - |
| Extent | 4 pages | en |
| Title | FCLAB: an EEGLAB module for performing functional connectivity analysis on single-subject EEG data | en |
| Creator | Pezoulas Vasileios | en |
| Creator | Πεζουλας Βασιλειος | el |
| Creator | Athanasiou Alkinoos | en |
| Creator | Nolte Guido | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Creator | Fratini Antonio | en |
| Creator | Fotiadis, Dimitrios Ioannou | en |
| Creator | Klados Manousos A. | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Functional connectivity (FC) analysis constitutes a fundamental neuroscientific approach that has been extensively used for the investigation of brain's connectivity and activation patterns. To that end, several software tools have been developed. This paper presents FCLAB, the only EEGLAB-based plugin, which is able to work with EEG signals in order to estimate and visualize brain functional connectivity networks based on a variety of similarity measures as well as run a complete graph analysis procedure followed by a detailed visualization of the ensuing local and global measures distribution. FCLAB entails optimization procedures for the implementation of the connectivity structures and is the result of long-term research in EEG functional connectivity. The computed functional connectivity measures have been carefully selected to reflect the state-of-art in the field. Future work focuses on extending the platform for multi-subject analysis in order to enable the implementation of statistical analysis tools. | 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 | 2019-09-17 | - |
| Date of Publication | 2018 | - |
| Subject | EEG | en |
| Subject | Functional connectivity analysis | en |
| Subject | Graph analysis | en |
| Bibliographic Citation | V.C. Pezoulas, A. Athanasiou, G. Nolte, M. Zervakis, A. Fratini, D.I. Fotiadis and M.A. Klados, "FCLAB: an EEGLAB module for performing functional connectivity analysis on single-subject EEG data," in IEEE EMBS International Conference on Biomedical and Health Informatics, 2018, pp. 96-99. doi: 10.1109/BHI.2018.8333378 | en |
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