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

doi:10.1109/BHI.2018.8333378

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/Published conference output › Conference publication

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.

Original language	English
Title of host publication	2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
Publisher	IEEE
Pages	96-99
ISBN (Electronic)	978-1-5386-2405-0
DOIs	https://doi.org/10.1109/BHI.2018.8333378
Publication status	E-pub ahead of print - 9 Apr 2018

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

Access to Document

10.1109/BHI.2018.8333378

FCLAB - An EEGLAB module for performing functional connectivity analysis on single-subject EEG data
© 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.
Accepted author manuscript, 441 KB

https://ieeexplore.ieee.org/abstract/document/8333378/

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. Advance online publication. https://doi.org/10.1109/BHI.2018.8333378

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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.",

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

Abstract

Bibliographical note

Keywords

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