Brain Network Analysis

This tutorial reference provides an overview of statistical and mathematical approaches used in brain network analysis, covering models such as graph theory, regression, and algebraic topology. It serves as a textbook for graduate students and includes links to sample data and codes for methodological understanding.

Format: Hardback
Length: 338 pages
Publication date: 27 June 2019
Publisher: Cambridge University Press

This comprehensive tutorial reference provides a thorough exploration of diverse statistical and mathematical methodologies employed in brain network analysis, a field that endeavors to model the intricate structures and functionalities of the human brain, presenting unique computational and statistical challenges. Serving as a textbook for advanced graduate students, this book simultaneously delves into essential and technically intricate topics, offering a valuable resource for scholars. In contrast to most existing books that primarily focus on graph theory, this text introduces techniques derived from graph theory and extends its discourse to encompass various other models in the realm of network science, regression, and algebraic topology. Additionally, links to sample data and codes utilized in generating the book's results and figures are provided, empowering readers with a deeper methodological understanding that can be immediately applied to both research and educational endeavors.

Weight: 652g
Dimension: 231 x 159 x 22 (mm)
ISBN-13: 9781107184862