Human brain determines the ability of perceiving and behaving. Previous works have introduced network science and control theory to stimulate the brain states and functions. In this work, network controllability theory is utilized to study the structural controllability of both temporal and static functional brain networks. We find that only a few nodes are the required driver nodes to structurally control the static functional brain networks. Specially, some regions of interest (ROIs) in cerebellums with low connectivity play important roles in controlling functional brain networks. Structural controllability of temporal functional brain networks is more complicated. Control centrality of nodes which presents the ability to control other nodes does not only depend on the degree but also on the location of the nodes via studying the temporal functional brain network.