Fundamentals of Brain Network Analysis

by Alex Fornito (Author), Andrew Zalesky (Author), Edward Bullmore (Author)

Fundamentals of Brain Network Analysis is a valuable resource for anyone interested in the study of neural connectivity and its application in neuroscience. With a comprehensive and accessible approach, this book dives into the field of network science, introducing techniques for modeling brain networks as graphs of nodes connected by edges. Authored by Alex Fornito, Andrew Zalesky, and Edward Bullmore, this book builds intuition for key concepts and methods, presenting examples of practical applications across different areas of neuroscience.

The book begins with a brief introduction to neuroscience and graph theory, laying down the foundation for understanding the analytical methods necessary for the study of neural networks. Part 1 of the book concentrates on the structural organization of neural networks, starting with the smallest scale of connectivity, followed by an explanation of the organization of local circuits and revealing insights into the large-scale spatial organization of brain networks. Part 2 of the book covers the functional organization of networks, with chapters detailing the use of network models to explore the dynamics of neural activity and the integration of this activity into functional networks. Part 3 of the book discusses network-based approaches to understanding brain disorders and disease, with a focus on disorders of the central nervous system.

One of the most significant strengths of this book is the approachable writing style with which it is written. The authors offer clear examples, illustrations, and applications of key concepts and principles that make it suitable for readers regardless of their background. The book introduces mathematical concepts but avoids overly technical jargon, making it a great read for anyone who wants to dive into the field of neural connectivity. The authors truly manage to break down complex material into engaging and easy-to-understand language, making this a standout guide for those who want a deeper understanding of the brain and its functions.

Another outstanding aspect of this book is its pragmatic approach. Besides providing theoretical knowledge, this book gives practical guidance, allowing readers to apply what they are learning to real-world examples. The authors offer numerous case studies demonstrating the practical applications of network science in neuroscience, covering a wide range of experimental methods. With the broad range of examples, the authors ensure that readers are equipped with the tools to apply the theoretical knowledge imparted within the book.

Fundamentals of Brain Network Analysis would be useful to neuroscientists wanting to develop expertise in neural connectomics, as well as physical and computational scientists seeking an understanding of how these quantitative methods can be used to aid in understanding brain organization. The book is designed to inform and empower scientists at all levels of experience, and from any specialist background. From the novice to the expert reader, there is something to be gained from this insightful read.

In conclusion, this is a well-written and insightful book that offers a comprehensive and practical understanding of the field of brain network analysis. It is an easily accessible guide that manages to avoid overly technical jargon, making it a suitable read for anyone interested in neuroscience and network science. Fundamentals of Brain Network Analysis is highly recommended, and its insights and applications make it a valuable resource for anyone interested in the study of neural connectivity. It is a must-read for anyone interested in the fascinating world of the brain and its functions. Whether you are a scientist, researcher, or simply a curious reader, this book is a must-have for your reading list. Order your copy today!

Product Details

• Hardcover: 494 pages
• Publisher: Academic Press; 1 edition (April 7, 2016)
• Language: English
• ISBN-10: 0124079083
• ISBN-13: 978-0124079083