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Methods in brain connectivity inference through multivariates time series analysis / [edited by] Koichi Sameshima and Luiz Antonio Baccala.

Contributor(s): Material type: TextTextSeries: Frontiers in neuroengineeringPublication details: Boca Raton : CRC Press, c2014.Description: xvi, 258 p., [8] p. of plates ; ill. (some col.)ISBN:
  • 9781439845721 (hbk.)
Subject(s): DDC classification:
  • 23 Sa187 000SB:612.82
Contents:
Ch. 1 Brain Connectivity: An Overview / Luiz A. Baccala and Koichi Sameshima-- Section I Fundamental Theory: Ch. 2 Directed Transfer Function: A Pioneering Concept in Connectivity Analysis / Maciej Kaminski, Katarzyna J. Blinowska -- Ch. 3 An Overview of Vector Autoregressive Models / Pedro A. Morettin -- Ch. 4 Partial Directed Coherence / Daniel Y. Takahashi, Luiz A. Baccala, Koichi Sameshima -- Ch. 5 Information Partial Directed Coherence/ Daniel Y. Takahashi, Luiz A. Baccala, and Koichi sameshima-- Ch. 6 Assessing Connectivity in the Presence of Instantaneous Causality / Luca Faes -- Ch. 7 Asymptotic PDC Properties / Koichi Sameshima, Daniel Y. Takahashi, Luiz A. Baccala -- Section II Extensions: Ch. 8 Nonlinear Parametric Granger Causality in Dynamical Networks / Wei Liao, Mario Pellicoro, Sebastiano Stramaglia -- Ch. 9 Time-Variant Estimation of Connectivity and Kalman Filter / Linda Sommerlade ... [et al.] -- Section III Applications: Ch. 10 Connectivity Analysis Based on Multielectrode EEG Inversion Methods with and without fMRI a Priori Information / Laura Astolfi, Fabio Babiloni -- Ch. 11 Methods for Connectivity Analysis in fMRI / Joao R. Sato ... [et al.] -- Ch. 12 Assessing Causal Interactions among Cardiovascular Variability Series through a Time-Domain Granger Causality Approach / Alberto Porta ... [et al.] -- Section IV Epilogue: Ch. 13 Multivariate Time-Series Brain Connectivity: A Sum-Up / Luiz A. Baccala, Koichi Sameshima-- Index.
Summary: 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 series analysis approaches, providing a thorough survey of information on how brain areas effectively interact. Incorporating multidisciplinary work in applied mathematics, statistics, and animal and human experiments at the forefro.
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Includes index.

Ch. 1 Brain Connectivity: An Overview / Luiz A. Baccala and Koichi Sameshima--

Section I Fundamental Theory:
Ch. 2 Directed Transfer Function: A Pioneering Concept in Connectivity Analysis / Maciej Kaminski, Katarzyna J. Blinowska --
Ch. 3 An Overview of Vector Autoregressive Models / Pedro A. Morettin --
Ch. 4 Partial Directed Coherence / Daniel Y. Takahashi, Luiz A. Baccala, Koichi Sameshima --
Ch. 5 Information Partial Directed Coherence/ Daniel Y. Takahashi, Luiz A. Baccala, and Koichi sameshima--
Ch. 6 Assessing Connectivity in the Presence of Instantaneous Causality / Luca Faes --
Ch. 7 Asymptotic PDC Properties / Koichi Sameshima, Daniel Y. Takahashi, Luiz A. Baccala --

Section II Extensions:
Ch. 8 Nonlinear Parametric Granger Causality in Dynamical Networks / Wei Liao, Mario Pellicoro, Sebastiano Stramaglia --
Ch. 9 Time-Variant Estimation of Connectivity and Kalman Filter / Linda Sommerlade ... [et al.] --

Section III Applications:
Ch. 10 Connectivity Analysis Based on Multielectrode EEG Inversion Methods with and without fMRI a Priori Information / Laura Astolfi, Fabio Babiloni --
Ch. 11 Methods for Connectivity Analysis in fMRI / Joao R. Sato ... [et al.] --
Ch. 12 Assessing Causal Interactions among Cardiovascular Variability Series through a Time-Domain Granger Causality Approach / Alberto Porta ... [et al.] --

Section IV Epilogue:
Ch. 13 Multivariate Time-Series Brain Connectivity: A Sum-Up / Luiz A. Baccala, Koichi Sameshima--
Index.

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 series analysis approaches, providing a thorough survey of information on how brain areas effectively interact. Incorporating multidisciplinary work in applied mathematics, statistics, and animal and human experiments at the forefro.

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