Deciphering brain hubs and connectivity using EEG data

The goal of this work was to use EEG data from epilepsy patients and analyze it for connectivity between brain regions using cross-power spectral density (CPSD). For this work, we took data from a patient by removing data with epileptic seizures. Then, we calculated CPSD for the 210 electrode pairs. We observed the brain hubs, the default mode network (DMN) and the anti-correlated network attached to the DMN. EEG is a relatively inexpensive and more convenient method over fMRI but provides similar information if the data is analyzed using the method described here. Similar study can be used to identify brain connectivity patterns while brain is performing a specific task by collecting EEG data specific to the task.