Spatio-temporal phase synchronizations in very low frequency EEG oscillations: A preliminary study of synchronization, localization and stability

Abstract

The default-mode connective network (DMN) consists of coherent very-ultra low frequency (VLF) EEG oscillations (0.02-0.2 Hz interval) associated with resting activity and consciousness of the brain. In this study, we aimed to test whether Freeman approach based methods are able to identify in EEG data spatio-temporal phase synchronization patterns resembling the VLF EEG oscillations. We revealed those repetitive phase transitions at frame rates in very low EEG oscillations with amplitude and phase modulations and then analyzed synchronization index of EEG oscillations based on entropy of information flow for bipolar patients. We then analyzed pragmatic information index of resting potentials using Freeman approach. We associated Pragmatic Information Index with thermodynamic properties of the metabolic brain. Our results revealed that the 20-channel scalp EEG analytic phase signals can yield the timing of synchronized brain activity function, so that the future studies in brain computer interfacing can be better understood. VLF-EEG oscillations showed that those phase transitions will lead to timings in higher cognitive phase transitions. © 2018 IEEE.