Название: Brain Network Analysis Автор: Moo K. Chung
Издательство: Cambridge University Press
Год: 2019
Страниц: 344
Язык: английский
Формат: True PDF
Размер: 13.4 MB
This tutorial reference serves as a coherent overview of various statistical and mathematical approaches used in brain network analysis, where modeling the complex structures and functions of the human brain often poses many unique computational and statistical challenges. This book fills a gap as a textbook for graduate students while simultaneously articulating important and technically challenging topics. Whereas most available books are graph theory-centric, this text introduces techniques arising from graph theory and expands to include other different models in its discussion on network science, regression, and algebraic topology. Concepts and methods are illustrated with brain imaging applications and examples. Some of the brain network data sets along with MATLAB and R codes used in the book can be downloaded from the author’s website. Links are included to the sample data and codes used in generating the book's results and figures, helping to empower methodological understanding in a manner immediately usable to both researchers and students.
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