Important information on the structure of complex systems can be obtained by measuring to
what extent the individual components exchange information among each other. The linear …

Migraine is a cyclic disorder, in which functional and morphological brain changes fluctuate
over time, culminating periodically in an attack. In the migrainous brain, temporal processing …

We consider an extension of Granger causality to nonlinear bivariate time series. In this
frame, if the prediction error of the first time series is reduced by including measurements from …

A great improvement to the insight on brain function that we can get from fMRI data can come
from effective connectivity analysis, in which the flow of information between even remote …

We propose a method of analysis of dynamical networks based on a recent measure of
Granger causality between time series, based on kernel methods. The generalization of kernel-…

The communication among neuronal populations, reflected by transient synchronous activity,
is the mechanism underlying the information processing in the brain. Although it is widely …

To the Editor—Battiston et al 1. provide a comprehensive overview of how investigations of
complex systems should take into account interactions between more than two elements, …

Elucidating the intricate relationship between brain structure and function, both in healthy
and pathological conditions, is a key challenge for modern neuroscience. Recent progress in …

We analyze, by means of Granger causality (GC), the effect of synergy and redundancy in the
inference (from time series data) of the information flow between subsystems of a complex …

We implement the Ising model on a structural connectivity matrix describing the brain at two
different resolutions. Tuning the model temperature to its critical value, ie at the susceptibility …