Brain's can be modeled as functional networks, where interregional connections and their weights are estimated as a correlations. Here I will present an approach for exactly decomposing these connections (edges) into their time-varying contributions. This approach yields framewise estimates of networks across time and can be used to estimate the novel construct of "edge functional connectivity".