Brain connectivity using EEG data

Abstract

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). We took data from 76 EEG sessions by removing those with epileptic seizures. Then, we calculated CPSD for the 210 electrode pairs for each patient. Initially, we calculated CPSD in the entire sample and then stratified it based on frequency bands related to different brain states. We observed the brain hubs, the default mode network (DMN) and the anti-correlated network attached to the DMN. The connectivity of the brain changed with change in frequency and hence, brain states. EEG analysis with CPSD is a relatively inexpensive, longer duration and more convenient method over fMRI but provides similar information. Similar study can be used to identify brain connectivity patterns while brain is performing a specific task by collecting EEG data for the task.