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

Vasileios C Pezoulas, Alkinoos Athanasiou, Guido Nolte, Michalis E. Zervakis, Antonio Fratini, Dimitrios Fotiandis, Manousos Klados

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
LanguageEnglish
Title of host publication2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
PublisherIEEE
Pages96-99
ISBN (Electronic)978-1-5386-2405-0
DOIs
Publication statusE-pub ahead of print - 9 Apr 2018

Fingerprint

Functional analysis
Electroencephalography
Brain
Statistical methods
Visualization
Chemical activation

Bibliographical note

© 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.

Keywords

  • EEG
  • functional connectivity analysis
  • graph analysis

Cite this

Pezoulas, V. C., Athanasiou, A., Nolte, G., Zervakis, M. E., Fratini, A., Fotiandis, D., & Klados, M. (2018). FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. In 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (pp. 96-99). IEEE. https://doi.org/10.1109/BHI.2018.8333378
Pezoulas, Vasileios C ; Athanasiou, Alkinoos ; Nolte, Guido ; Zervakis, Michalis E. ; Fratini, Antonio ; Fotiandis, Dimitrios ; Klados, Manousos. / FCLAB : An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, 2018. pp. 96-99
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Pezoulas, VC, Athanasiou, A, Nolte, G, Zervakis, ME, Fratini, A, Fotiandis, D & Klados, M 2018, FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. in 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, pp. 96-99. https://doi.org/10.1109/BHI.2018.8333378

FCLAB : An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. / Pezoulas, Vasileios C; Athanasiou, Alkinoos; Nolte, Guido; Zervakis, Michalis E.; Fratini, Antonio; Fotiandis, Dimitrios; Klados, Manousos.

2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, 2018. p. 96-99.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Pezoulas VC, Athanasiou A, Nolte G, Zervakis ME, Fratini A, Fotiandis D et al. FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. In 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE. 2018. p. 96-99 https://doi.org/10.1109/BHI.2018.8333378