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The main advantage of M/EEG is the excellent temporal resolution (sub-second) that offers the unique opportunity i) to track brain networks over very short duration which is the case in many cognitive tasks and ii) to analyze fast dynamical changes that can occur in brain disorders (like epileptic seizures for instance). Magneto/Electroencephalography (M/EEG) are key techniques to analyze functional connectivity from surface signals or/and from reconstructed brain sources. The work has also received a French government support granted to the CominLabs excellence laboratory and managed by the National Research Agency in the “Investing for the Future” program under reference ANR-10-LABX-07-01.Ĭompeting interests: The authors have declared that no competing interests exist. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedĭata Availability: All the data used here are available on the following public link using the DOI: 10.5281/zenodo.10498.įunding: This work was supported by AZM and SAADE Association (Tripoli, Lebanon) and the Rennes University Hospital (COREC Project named conneXion, 2012–14). Received: Accepted: AugPublished: September 17, 2015Ĭopyright: © 2015 Hassan et al. PLoS ONE 10(9):Įditor: Bin He, University of Minnesota, UNITED STATES Ĭitation: Hassan M, Shamas M, Khalil M, El Falou W, Wendling F (2015) EEGNET: An Open Source Tool for Analyzing and Visualizing M/EEG Connectome. EEGNET is an open source tool and can be freely downloaded from this webpage. The first version of EEGNET is easy to use, flexible and user friendly. EEGNET is the unique tool that combines the M/EEG functional connectivity analysis and the computation of network measures derived from the graph theory. It includes i) Basic steps in preprocessing M/EEG signals, ii) the solution of the inverse problem to localize / reconstruct the cortical sources, iii) the computation of functional connectivity among signals collected at surface electrodes or/and time courses of reconstructed sources and iv) the computation of the network measures based on graph theory analysis. EEGNET is developed to analyze networks either at the level of scalp electrodes or at the level of reconstructed cortical sources.
HUMAN BRAIN MAPPING PUBLICATION FEES SOFTWARE
In this paper, we report a novel software package, called EEGNET, running under MATLAB (Math works, inc), and allowing for analysis and visualization of functional brain networks from M/EEG recordings. However, a tool that can cover all the processing steps of identifying brain networks from M/EEG data is still missing. In this context Magneto/Electroencephalography (M/EEG) are effective neuroimaging techniques allowing for analysis of the dynamics of functional brain networks at scalp level and/or at reconstructed sources. Exploring the dynamic behavior of the connectome is a challenging issue as both excellent time and space resolution is required. The brain is a large-scale complex network often referred to as the “connectome”.