Editors Sameshima and Baccal<’a> offer this research volume on brain connectivity. The first section covers theoretical fundamentals, beginning with directed transfer function (DTF), detailed coverage of multivariate autoregressive modeling, time-domain Granger causality, and model diagnostics. Partial directed coherence (PDC) and issues of information flow and instantaneous causality are carefully discussed. The second section presents a couple of extensions in nonlinear interactions and signal nonstationarity. In the last section, applications in EEG, fMRI, and multimodal biological variables are explored. The conclusion summarizes the contributions and proposes a new conception of connectivity beyond a conventional functional/effective model. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
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.
Lisainfo e-raamatute kohta