Abstract
Brain is a complex network, which shows dynamic changes depending on the state and traits of an individual. Graph theory is able to characterize such brain networks by providing neurobiological meaning and easily computable measures. In this article, I have discussed the construction of networks based on data about brain connectivity and described common network measures that can quantify functional segregation and integration, as well as the centrality of brain architecture. Finally, I have introduced software for conducting analyses based on the graph theory.
