Abstract: In this talk, we introduce a network response model framework, in which the networks are treated as responses and the network-level covariates as predictors. Under this framework, we discuss model identifiability, estimation and theoretical properties. Finally, we present our findings from the analyses of several resting-state and task-related neuroimaging studies.