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FCLAB: an EEGLAB module for performing functional connectivity analysis on single-subject EEG data

Pezoulas Vasileios, Athanasiou Alkinoos, Nolte Guido, Zervakis Michail, Fratini Antonio, Fotiadis, Dimitrios Ioannou, Klados Manousos A.

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URIhttp://purl.tuc.gr/dl/dias/9A2BCFCE-1C4A-4DA1-9E14-4C242ECCDCEA-
Αναγνωριστικόhttps://doi.org/10.1109/BHI.2018.8333378-
Αναγνωριστικόhttps://ieeexplore.ieee.org/document/8333378-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςFCLAB: an EEGLAB module for performing functional connectivity analysis on single-subject EEG dataen
ΔημιουργόςPezoulas Vasileiosen
ΔημιουργόςΠεζουλας Βασιλειοςel
ΔημιουργόςAthanasiou Alkinoosen
ΔημιουργόςNolte Guidoen
ΔημιουργόςZervakis Michailen
ΔημιουργόςΖερβακης Μιχαηλel
ΔημιουργόςFratini Antonioen
ΔημιουργόςFotiadis, Dimitrios Ioannouen
ΔημιουργόςKlados Manousos A.en
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηFunctional 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2019-09-17-
Ημερομηνία Δημοσίευσης2018-
Θεματική ΚατηγορίαEEGen
Θεματική ΚατηγορίαFunctional connectivity analysisen
Θεματική ΚατηγορίαGraph analysisen
Βιβλιογραφική ΑναφοράV.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.2018.8333378en

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