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EEGNET: A Novel Tool for Processing and Mapping EEG Functional Networks

Abstract : Due to its excellent temporal resolution, the Electroencephalogram (EEG) has become a key neuroimaging technique to analyze functional brain networks at scalp level (electrodes) and at reconstructed sources (inverse problem). However, a tool that can analyze EEG recordings, from raw signals 2D/3D brain networks is still missing. Here, we propose a MATLAB-based pipeline, called EEGNET, to process EEG signals and represent corresponding functional brain networks. It includes: 1) Preprocessing of the EEG signals, 2) Solving the inverse problem / reconstructing the cortical sources, 3) Computing the functional connectivity at source level, 4) Calculating the network measures and 5) Visualizing 2D and 3D brain networks. The software is carefully designed to enclose these different phases. The first version of EEGNET is easy to use, flexible and user friendly. Moreover EEGNET is an open source tool and can be freely downloaded from the internet after publication.
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Conference papers
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01380112
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, October 12, 2016 - 2:58:08 PM
Last modification on : Wednesday, July 15, 2020 - 11:52:04 AM

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  • HAL Id : hal-01380112, version 1

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M. Shamas, F. Wendling, W. El Falou, M. Hassan. EEGNET: A Novel Tool for Processing and Mapping EEG Functional Networks. 7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Apr 2015, Montpellier, France. pp.1064--1067. ⟨hal-01380112⟩

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