Learning objectives

Students should be able to do each of the following by the end of this course:

Introduction: The concept and biology of brain connectivity

• Describe the different ways in which the concept of “brain connectivity” can be defined
• Describe the structural and functional basis of brain connectivity

Hands on: Visualizing white matter structure with FSLeyes and nilearn

• Identify major white matter tracts in probabilistic atlases
• Load and visualize tract atlases in both FSLeyes and Python

Graph theory

• Describe the basic concepts of graph theory

Hands on: Graph theory

• Use NetworkX to create and analyze graph data

Network modeling

• Describe the concepts of integration and segregation
• Describe the concept of modularity
• Describe the concept of community detection and the different approaches