Graph Signal Processing for the Brain

This lecture covers the application of Graph Signal Processing to brain research, focusing on the integration of brain structure and function using techniques such as structural connectome analysis, functional MRI, and graph Fourier transform. The instructor discusses the relationship between brain function and structure, the dynamic function on a static structural backbone, and the generation of surrogate data to mimic empirical graph spectral density. The lecture also explores the thresholded structural-decoupling index as a measure of brain function-structure decoupling and its behavioral relevance.