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Connectome Analysis
Characterization, Methods, and Analysis
Learn to construct, assess, and analyze brain networks
Markus D. Schirmer (Edited by), Tomoki Arichi (Edited by), Ai Wern Chung (Edited by)
9780323852807, Elsevier Science
Paperback, published 28 June 2023
486 pages, 115 illustrations (45 in full color)
23.5 x 19 x 3 cm, 0.45 kg
Connectome Analysis: Characterization, Methods, and Analysis is a comprehensive companion for the analysis of brain networks, or connectomes. The book provides sources of constituent structural and functional MRI signals, network construction and practices for analysis, cutting-edge methods that address the latest challenges in neuroscience, and the fundamentals of network theory in the context of giving practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. Subsequent chapters discuss networks in neuroscience in clinical and general populations, including how findings are related to underlying neurophysiology and neuropsychology. This book is aimed at students and early-career researchers in brain connectomics and neuroimaging who have a background in computer science, mathematics and physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research.
1. Introduction
2. Biology - What can connectomes tell us about the brain?
3. Structural Networks
4. Functional Networks
5. Brain Regions for Network Nodes
6. Network Theoretical Measures
7. Null Models
8. Modularity / Rich Club / Topology
9. Mapping networks (communities) to biology
10. Lesions
11. Networks in a. Development b. ageing c. disease (psychiatry/psychology) d. others (Traumatic brain injury)
12. Machine Learning in connectomics
13. Multimodal MRI and Dynamic network models
14. Genetics
15. List of Resources
Subject Areas: Neurosciences [PSAN]
