Graph Signal Processing in Brain Networks

This lecture explores the application of Graph Signal Processing (GSP) in brain networks, focusing on the integration of brain structure and function. It covers topics such as structural and functional connectivity, graph Fourier transform, filtering of functional activity, and the Structural-Decoupling Index (SDI). The instructor discusses how GSP can reveal the relationship between brain function and structure, showing that structure-function coupling varies across brain regions and tasks. Moreover, the lecture highlights the significance of SDI in task decoding and fingerprinting, demonstrating its superiority over traditional functional connectivity measures.