Linking human behavior to resting-state brain function is a central question in systems
neuroscience. In particular, the functional timescales at which different types of behavioral …

A guide to all aspects of experimental design and data analysis for fMRI experiments,
completely revised and updated for the second edition. Functional magnetic resonance …

Component analysis is a powerful tool to identify dominant patterns of interactions in
multivariate datasets. In the context of fMRI data, methods such as principal component …

Real-time functional magnetic resonance imaging (rt-fMRI) enables the update of various
brain-activity measures during an ongoing experiment as soon as a new brain volume is …

Abstract Background Generalized Partial Directed Coherence (GPDC) is a multivariate
measure of predictability between functional timeseries defined in the frequency domain …

Recent studies in neuroimaging show increasing interest in mapping the brain connectivity.
It can be potentially useful as biomarkers in identifying neuropsychiatric diseases as well as …

In this thesis, we provide contributions to the modeling, analysis and design of networked
dynamical systems from a data-driven perspective. Our approach is grounded on the …