Brain Network Analysis
Published on 19. June 2019
978-1-316-88697-7 (ISBN)
Description
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. 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.
Reviews / Votes
'This book is a must-read for students and researchers in brain network analysis. It is unique across many fronts. First, it weaves together the important background material in statistics, computational mathematics and algebraic topology. Second, it accomplishes the dual role of a research monograph and a textbook reference. The author, an expert in this field, conveys his enthusiasm for brain network analysis and lays down the most essential mathematical and statistical foundations for future advances.' Hernando Ombao, King Abdullah University of Science and Technology, Saudi ArabiaMore details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
College/higher education
Illustrations
Worked examples or Exercises; 41 Line drawings, color
File size
16,87 MB
ISBN-13
978-1-316-88697-7 (9781316886977)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Moo K. Chung
Brain Network Analysis
Book
06/2019
Cambridge University Press
€92.00
Shipment within 15-20 days
Person
Content
1. Statistical preliminary; 2. Brain network nodes and edges; 3. Graph theory; 4. Correlation networks; 5. Big brain network data; 6. Network simulations; 7. Persistent homology; 8. Diffusion on graphs; 9. Sparse networks; 10. Brain network distances; 11. Combinatorial inference for networks; 12. Series expansion of connectivity matrices; 13. Dynamic network models.
