Interest in brain connectivity inference has become ubiquitous and is now increasingly adopted in experimental investigations of clinical, behavioral, and experimental neurosciences. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis gathers the contributions of leading international authors who discuss different time
Brain Connectivity: An Overview. Fundamental Theory. Directed Transfer Function: A Pioneering Concept in Connectivity Analysis. An Overview of Vector Autoregressive Models. Partial Directed Coherence. Information Partial Directed Coherence. Assessing Connectivity in the Presence of Instantaneous Causality. Asymptotic PDC Properties. Extensions. Nonlinear Parametric Granger Causality in Dynamical Networks. Time-Variant Estimation of Connectivity and Kalman Filter. Applications. Connectivity Analysis Based on Multielectrode EEG Inversion Methods with and without fMRI a Priori Information. Methods for Connectivity Analysis in fMRI. Assessing Causal Interactions among Cardiovascular Variability Series through a Time-Domain Granger Causality Approach. Epilogue. Multivariate Time-Series Brain Connectivity: A Sum-Up. Index.