The use of network tools has been a paradigm shift in neuroscience. It allowed to move from studying the variance of brain regions activities to their covariance, hence to obtain a static picture of the interactions between brain regions. However, we are still lacking an complete understanding of the delicate intricacies of the brain symphony, i.e. of the dynamic interdependence of the activity of brain regions at rest of when performing a task. Temporal Graph Signal Analysis is a recent Fourier analysis-like addition to the network analysis toolbox that can be used naturally to describe the activity of the nodes of a network by its structure. I will first briefly introduce tGST, and then show how it can be used to characterize brain function.