Detecting cluster structure of resting state fMRI brain networks: percolation and modularity features

The extremely complex connected structure of the brain shapes a functional network whose activation and synchronization mechanisms still represent a major scientific challenge. We report here the results of a study of the brain functional activity from a network theory perspective. An fMRI data-set corresponding to the neuronal activity of 41 mice brains at resting state has been analyzed by applying a range of procedures (e.g. community detection, percolation analysis), in order to gain insight into the collective activity of brain areas. A statistically meaningful signal of collective neuronal activity is detectable even at resting state, permitting to identify functionally related areas.