Small-world organization is known to be a robust and consistent network architecture, and is
a hallmark of the structurally and functionally connected human brain. However, it remains …

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 …

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 …

Today, neuroimaging techniques are frequently used to investigate the integration of
functionally specialized brain regions in a network. Functional connectivity, which quantifies the …

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 growing number of studies approach the brain as a complex network, the so-called ‘connectome’.
Adopting this framework, we examine what types or extent of damage the brain can …

Cognition and behavior emerge from brain network interactions, such that investigating causal
interactions should be central to the study of brain function. Approaches that characterize …

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 …