Network theory provides an intuitively appealing framework for studying relationships
among interconnected brain mechanisms and their relevance to behaviour. As the space of …

Electroencephalography (EEG) is a powerful method of studying the electrophysiology of the
brain with high temporal resolution. Several analytical approaches to extract information …

An increasing number of theoretical and empirical studies approach the function of the
human brain from a network perspective. The analysis of brain networks is made feasible by …

Network studies of large-scale brain connectivity have begun to reveal attributes that
promote the segregation and integration of neural information: communities and hubs …

Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …

Over the last years, a surge of empirical studies converged on complexity-related measures
as reliable markers of consciousness across many different conditions, such as sleep …

We present both a scientific overview and conceptual positions concerning the challenges
and assets of electrophysiological measurements in the search for the nature and functions …

The human connectome will provide a detailed mapping of the brain's connectivity, with
fundamental insights for health and disease. However, further understanding of brain …

Objective. Graph theory and network science tools have revealed fundamental mechanisms
of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not …