Visualization of Dynamic Connectivity in High Electrode-Density EEG

摘要

A visualization methodology for the analysis of dynamic synchronization in electroencephalographic signals is presented here. The proposed method is based on a seeded region-growing segmentation of the time-frequency space in terms of spatial connectivity patterns, a process that can be fully automated by cleverly choosing the seeds. A Bayesian regularization technique is applied to further improve the results. Finally, preliminary results from the analysis of a high electrode-density dataset with 120 channels are shown.