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


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.

Publication DOI: https://doi.org/10.1109/BHI.2018.8333378
Divisions: College of Health & Life Sciences
College of Health & Life Sciences > School of Optometry > Optometry & Vision Science Research Group (OVSRG)
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: EEG,functional connectivity analysis,graph analysis
ISBN: 978-1-5386-2405-0
Full Text Link: https://ieeexpl ... cument/8333378/
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PURE Output Type: Conference contribution
Published Date: 2018-04-09
Published Online Date: 2018-04-09
Accepted Date: 2018-04-08
Authors: Pezoulas, Vasileios C
Athanasiou, Alkinoos
Nolte, Guido
Zervakis, Michalis E.
Fratini, Antonio (ORCID Profile 0000-0001-8894-461X)
Fotiandis, Dimitrios
Klados, Manousos (ORCID Profile 0000-0002-1629-6446)



Version: Accepted Version

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