Exploring the human brain from the viewpoint of connectivity patterns reveals important information regarding the structural, functional, and causal organization of the brain. Among the connectivity techniques, functional, and effective connectivity have been the focus of the computational studies in recent years. The main purpose of this paper is to review the recent  studies utilizing Labeling graph  methods to analyze connectivity patterns in the human brain network using fMRI data and  expect to see whether the recognition of brain connectivity properties by Labeling graph  theory (as measured by fMRI) has been effective in understanding the mechanisms underlying human cognition compared to the traditional approaches.

Index Terms- brain connectivity, functional connectivity, effective connectivity, fMRI, labeling graphs.