Network control theory (NCT) models capture the dynamics of systems that can be represented by nodes and edges (i.e. networks) and can be used to quantify movement through its state space. The human brain can be thought of as such a networked system, with the nodes being pre-defined regions in the gray matter and the edges being white matter connections that act as wiring between gray matter regions. Here, we present some novel NCT modeling applications that are able to capture shifting brain dynamics in psychedelics, multiple sclerosis and addiction disorders. Using NCT to model the human brain may take us one step closer toward being able to influence human brain dynamics for promoting recovery from neurological disease.