Methods in Brain Connectivity Inference through Multivariate Time Series Analysis: 1st Edition (e-Book) book cover

Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

1st Edition

Edited by Koichi Sameshima, Luiz Antonio Baccala

CRC Press

282 pages

Purchasing Options:$ = USD
Hardback: 9781439845721
pub: 2014-03-21
eBook (VitalSource) : 9780429106897
pub: 2016-04-19
from $28.98

FREE Standard Shipping!


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

Table of Contents

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.

About the Editors

Koichi Sameshima studied electrical engineering and medicine at the University of Sao Paulo. He was introduced to cognitive neuroscience, brain electrophysiology, and time-series analysis during doctoral and postdoctoral training at the University of Sao Paulo and the University of California, San Francisco, respectively. His research themes revolve around neural plasticity, cognitive function, and information processing aspects of mammalian brain through behavioral, electrophysiological, and computational neuroscience protocols. He holds an associate professorship at the Department of Radiology and Oncology, Faculty of Medicine, University of Sao Paulo.

Luiz A. Baccala majored in electrical engineering and physics at the University of Sao Paulo and then furthered his study on time-series evolution of bacterial resistance to antibiotics in a nosocomial environment, obtaining an MSc at the same university. He has since been involved in statistical signal processing and analysis and obtained his PhD from the University of Pennsylvania by proposing new statistical methods of communication channel identification and equalization. His current research interests focus on the investigation of multivariate time-series methods for neural connectivity inference and for problems of inverse source determination using arrays of sensors that include fMRI imaging and multielectrode EEG processing.

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MEDICAL / Biotechnology
SCIENCE / Life Sciences / Neuroscience