Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

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

Brain connectivity can be modeled and quantified with a large number of techniques. The
main objective of this paper is to present the most modern and widely established …

Functional brain connectivity is closely linked to the complex interactions between brain
networks. In the last two decades, measures of functional connectivity based on …

The brain is a large-scale complex network often referred to as the “connectome”. Exploring
the dynamic behavior of the connectome is a challenging issue as both excellent time and …

Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …

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 …

The analysis of the interdependence between time series has become an important field of
research in the last years, mainly as a result of advances in the characterization of …

Brain functional connectivity in dementia has been assessed with dissimilar EEG
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …

The goal of this paper is to examine existing methods to study the “Human Brain
Connectome” with a specific focus on the neurophysiological ones. In recent years, a new …