Unraveling the Complexity of Neuronal Connectivity: A Comprehensive Guide to Brain Network Analysis

Fundamentals of Brain Network Analysis, authored by Alex Fornito, Andrew Zalesky, and Edward Bullmore, offers a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. This book introduces, motivates, and explains techniques for modeling brain networks as graphs of nodes connected by edges, covering a diverse array of measures for quantifying their topological and spatial organization.

From the perspective of graph theory and network science, this text builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience. It ranges from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging.

This book is ideally suited for neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and for physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. It is extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems.

Comprehensive coverage of graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience, makes this book a valuable resource for scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain.

Key Features:

• Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems
• Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience
• Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Publication Details:

Hardcover: 494 pages

Publisher: Academic Press; 1 edition (April 7, 2016)

Language: English

ISBN-10: 0124079083

ISBN-13: 978-0124079083