Fundamentals of Brain Network Analysis [Hardback]

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Alex Fornito completed a PhD in the Departments of Psychology and Psychiatry at the University of Melbourne, Australia, followed by Post-Doctoral training at the University of Cambridge, UK. He is an associate professor, Australian Research Council Future Fellow, and Deputy Director of the Brain and Mental Health Laboratory in the Monash Institute of Cognitive and Clinical Neurosciences, Australia. Alex's research uses cognitive neuroscience, network science, and graph theory to understand brain network organization in health and disease. He has published over 100 scientific articles, much of which are focused on the development and application of new methods to understand how brain networks dynamically adapt to changing task demands, how they are disrupted by disease, and how they are shaped by genetic influences.

1. An introduction to brain networks 2. Nodes and edges 3. Connectivity matrices and brain graphs 4. Connectivity degree and strength 5. Centrality and hubs 6. Components, cores and clubs 7. Paths, efficiency and diffusion 8. Motifs, small worlds and network economy 9. Modularity 10. Null models 11. Statistical connectomics