EEGNET is developed to analyze networks either at the level of scalp electrodes or at the level of reconstructed cortical sources. 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”.
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