We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …

What are the distinct ways in which a set of predictor variables can provide information about
a target variable? When does a variable provide unique information, when do variables …

Background: Brain interdependencies can be studied from either a structural/anatomical
perspective (“structural connectivity”) or by considering statistical interdependencies …

Exploiting the theory of state space models, we derive the exact expressions of the
information transfer, as well as redundant and synergistic transfer, for coupled Gaussian …

Transfer entropy (TE) is a powerful tool for analyzing causality between time series and
complex systems. However, it faces two key challenges. First, TE is often used to quantify the …

Quantifying the amount, content and direction of communication between brain regions is
key to understanding brain function. Traditional methods to analyze brain activity based on …

Information processing performed by any system can be conceptually decomposed into the
transfer, storage and modification of information—an idea dating all the way back to the work …

Physiological aging affects brain structure and function impacting morphology, connectivity,
and performance. However, whether some brain connectivity metrics might reflect the age of …

Objective: Respiration disturbs cardiovascular and cerebrovascular controls but its role is
not fully elucidated. Methods: Respiration can be classified as a confounder if its observation …

Psychological network approaches propose to see symptoms or questionnaire items as
interconnected nodes, with links between them reflecting pairwise statistical dependencies …