Fundamentals of Brain Network Analysis

Academic Press

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging 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 text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization.
Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology
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
"...this text promises to be an essential title on the bookshelf of the intellectually curious neuroscientist. And for those whose curiosity is never satiated, the book motivates new empirical work to address as yet unanswered questions." --Brain
...a thorough and didactic presentation of the tools available to research scientists wishing to engage in the emgerging field of network neuroscience...this text promises to be an essential title on the bookshelf of the intellectually curious with any good book, one turns the final page wishing there were more. --Prof Danielle S Basset, University of Pennsylvania, BRAIN: A Journal of Neurology

Co-leader of the Systems Neuropsychiatry research team for the Neuropsychiatry Centre at the University of Melbourne, Dr. Fornito has worked in the field of imaging connectomics for the past five years. He has published 70+ journals articles since receiving his PhD in 2007 and has garnered over 1400 citations (h-index 24). He works on both the development of novel methodologies and their application to neuroscientific and clinical questions. He came to the field as a Psychologist with little training in mathematics or physics and is thus keenly aware of the needs of the non-expert being introduced to the field. Research Fellow at the Neuroscience Institute of the University of Melbourne, Dr. Zalesky has published 50+ journal articles since receiving his PhD in 2007, and his strategies for parcellating the brain into distinct regions have been cited more than 70 times since publication less than two years ago. He led the development of the network-based statistic, a popular method related to work on the human connectome. Professor of Psychiatry and Director of the Brain Mapping Unit at the University of Cambridge, Dr. Bullmore is internationally recognized as a pioneer in the field of imaging connectomics. His team was among the first to generate whole-brain connectomic maps using human MRI and he has published seminal review articles in Nature Reviews Neuroscience. He has published over 350 journal articles (h-index 83), is frequently invited as a keynote speaker at conferences on the topic, and currently acts as an advisor to the Human Connectome Project.

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Einband gebundene Ausgabe
Seitenzahl 494
Erscheinungsdatum 01.04.2016
Sprache Englisch
ISBN 978-0-12-407908-3
Reihe Academic Press
Verlag Elsevier LTD, Oxford
Maße (L/B/H) 244/197/32 mm
Gewicht 1197
Abbildungen mit Illustrationen
Buch (gebundene Ausgabe, Englisch)
Fr. 107.00
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