Graph Signal Processing for the Brain

This lecture covers the application of Graph Signal Processing (GSP) to brain networks, focusing on combining brain functional and structural information obtained from Magnetic Resonance Imaging. It explains the concept of the structural connectome, which summarizes the neural connections in the brain, and the use of Functional MRI to study brain activity. The lecture delves into the relationship between brain function and structure, introducing methods like Graph Fourier Transform and Graph Signal Filtering. It also discusses the Structural-Decoupling Index (SDI) as a measure of brain function-structure decoupling and its implications in understanding brain organization and behavior. The presentation concludes with the importance of GSP in integrating brain structure and function for tasks like task decoding and fingerprinting.