2 options
Methods in brain connectivity inference through multivariate time series analysis / edited by Koichi Sameshima, Luiz Antonio Baccalá.
Connect to full text Available online
View online- Format:
- Book
- Series:
- Frontiers in neuroengineering
- Frontiers in Neuroengineering Series
- Language:
- English
- Subjects (All):
- Brain--Physiology.
- Brain.
- Multivariate analysis.
- Time-series analysis.
- Brain--physiology.
- Medical Subjects:
- Brain--physiology.
- Physical Description:
- 1 online resource (xvi, 258 pages).
- Place of Publication:
- Boca Raton, FL : CRC Press, [2014]
- System Details:
- text file
- 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 forefront of the field, the book addresses the use of time series data in brain connectivity interference studies. Contributors present codes and data examples to back up their methodological descriptions, exploring the details of each proposed method as well as an appreciation of their merits and limitations. Supplemental material for the book, including code, data, practical examples, and color figures is supplied in the form of a CD with directories organized by chapter and instruction files that provide additional detail. The field of brain connectivity inference is growing at a fast pace with new data/signal processing proposals emerging so often as to make it difficult to be fully up to date. This consolidated panorama of data-driven methods includes theoretical bases allied to computational tools, offering readers immediate hands-on experience in this dynamic arena. Book jacket.
- Contents:
- Chapter 1 Brain Connectivity: An Overview / Luiz A. Baccalá Baccalá, Luiz A., Koichi Sameshima Sameshima, Koichi 1
- Section I Fundamental Theory
- Chapter 2 Directed Transfer Function: A Pioneering Concept in Connectivity Analysis / Maciej Kaminski Kaminski, Maciej, Katarzyna Blinowska Blinowska, Katarzyna 13
- Chapter 3 An Overview of Vector Autoregressive Models / Pedro A. Morettin Morettin, Pedro A. 35
- Chapter 4 Partial Directed Coherence / Luiz A. Baccalá Baccalá, Luiz A., Koichi Sameshima Sameshima, Koichi 57
- Chapter 5 Information Partial Directed Coherence / Daniel Y. Takahashi Takahashi, Daniel Y., Luiz A. Baccalá Baccalá, Luiz A., Koichi Sameshima Sameshima, Koichi 75
- Chapter 6 Assessing Connectivity in the Presence of Instantaneous Causality / Luca Faes Faes, Luca 87
- Chapter 7 Asymptotic PDC Properties / Koichi Sameshima Sameshima, Koichi, Daniel K Takahashi Takahashi, Daniel K, Luiz A. Baccalá Baccalá, Luiz A. 113
- Section II Extensions
- Chapter 8 Nonlinear Parametric Granger Causality in Dynamical Networks / Daniele Marinazzo Marinazzo, Daniele, Wei Liao Liao, Wei, Mario Pellicoro Pellicoro, Mario, Sebastiano Stramaglia Stramaglia, Sebastiano 135
- Chapter 9 Time-Variant Estimation of Connectivity and Kalman Filter / Linda Sommerlade Sommerlade, Linda, Marco Thiel Thiel, Marco, Bettina Platt Platt, Bettina, Andrea Piano Piano, Andrea, Gernot Riedel Riedel, Gernot, Celso Grebogi Grebogi, Celso, Wolfgang Mader Mader, Wolfgang, Malenka Mader Mader, Malenka, Jens Timmer Timmer, Jens, Björn Schelter Schelter, Björn 161
- Section III Applications
- Chapter 10 Connectivity Analysis Based on Multielectrode EEG Inversion Methods with and without fMRI A Priori Information / Laura Astolfi Astolfi, Laura, Fabio Babiloni Babiloni, Fabio 181
- Chapter 11 Methods for Connectivity Analysis in fMRI / Joao Ricardo Sato Sato, Joao Ricardo, Philip J. A. Dean Dean, Philip J. A., Gilson Vieira Vieira, Gilson 197
- Chapter 12 Assessing Causal Interactions among Cardiovascular Variability Series through a Time-Domain Granger Causality Approach / Alberto Porta Porta, Alberto, Anielle C. M. Takahashi Takahashi, Anielle C. M., Aparecida M. Catai Catai, Aparecida M., Nicolo Montano Montano, Nicolo 223
- Section IV Epilogue
- Chapter 13 Multivariate Time-Series Brain Connectivity: A Sum-Up / Luiz A. Baccalá Baccalá, Luiz A., Koichi Sameshima Sameshima, Koichi 245.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Palo Alto, Calif. Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on May 2, 2014).
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Mary M. Kaufman Memorial Fund for Neuro-Science & Biomedical Engineering Source.
- Other Format:
- Print version: Sameshima, Koichi. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis.
- ISBN:
- 9781439845738
- 1439845735
- Publisher Number:
- 99958510085
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.