Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

Baccala, Luiz Antonio; Sameshima, Koichi

Taylor & Francis Ltd

10/2024

282

Mole

9781032923758

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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.
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Granger Causality;Granger Causality Approach;granger;Vice Versa;causality;MVAR Process;frequency;PDC;domain;SEM;partial;Multivariate Autoregressive Models;directed;T15 T30 T45 T60 T75;coherence;Effective Connectivity Analysis;autoregressive;Data Set;models;Multivariate Time Series Analysis;model;DTF.;EEG Data;Real Data;Multivariate Time Series;Directed Transfer Function;Bold Signal;Effective Connectivity;Partial Coherence;C3 F3;Cardiovascular Variability;Sample ACF;Bold Contrast;Functional Connectivity Analysis;Correlation Mapping