Modules and Community Structure of Brain Networks

This lecture explores the concept of modules and community structure in brain networks, focusing on the application of modularity to understand network segregation. Topics include the Louvain algorithm, resolution limit in community detection, consensus clustering, and multilayer modularity. The instructor also discusses dynamic modularity in brain networks, showcasing stable modules during motor learning tasks. The session concludes with a preview of the upcoming midterm exam. Through examples from network neuroscience, students will gain insights into the organization and analysis of brain networks.