The human brain is a large-scale network the function of which depends on dynamic
interactions between spatially distributed regions. In the rapidly evolving field of network …

The recent past years have seen a noticeable increase of interest for
electroencephalography (EEG) to analyze functional connectivity through brain sources …

High‐density electroencephalography (hdEEG) is an emerging brain imaging technique that
can be used to investigate fast dynamics of electrical activity in the healthy and the diseased …

EEG can be used to characterise functional networks using a variety of connectivity (FC)
metrics. Unlike EEG source reconstruction, scalp analysis does not allow to make inferences …

Due to its high temporal resolution, electroencephalography (EEG) is widely used to study
functional and effective brain connectivity. Yet, there is currently a mismatch between the …

Electroencephalography source imaging (ESI) is a useful technique to localize the
generators from a given scalp electric measurement and to investigate the temporal …

Functional connectivity and effective connectivity of the human brain, representing statistical
dependence and directed information flow between cortical regions, significantly contribute …

We have developed a MATLAB-based toolbox, eConnectome (electrophysiological
connectome), for mapping and imaging functional connectivity at both the scalp and cortical …

Objective: The importance of functional brain connectivity to study physiological and
pathological brain activity has been widely recognized. Here, we aimed to 1) review a …

Electroencephalographic (EEG) signals recorded from the scalp surface are generally highly
correlated. Each channel is a linear mixture of concurrently active brain and non-brain …