On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks

TL;DR

This study introduces a novel method to identify stable phase synchronised patterns, called synchrostates, in multichannel EEG during face perception tasks, revealing their potential as new markers of brain connectivity across different subject groups.

Contribution

The paper presents a new approach combining EEG microstates and phase synchronisation to detect transient synchrostates in multichannel EEG data during cognitive tasks.

Findings

Synchrostates are consistently observed in EEG data across different subject groups.

These states occur within specific frequency bands, notably beta and gamma.

Distinct topographies of synchrostates are associated with different pathological conditions.

Abstract

Phase synchronisation in multichannel EEG is known as the manifestation of functional brain connectivity. Traditional phase synchronisation studies are mostly based on time average synchrony measures hence do not preserve the temporal evolution of the phase difference. Here we propose a new method to show the existence of a small set of unique phase synchronised patterns or "states" in multi-channel EEG recordings, each "state" being stable of the order of ms, from typical and pathological subjects during face perception tasks. The proposed methodology bridges the concepts of EEG microstates and phase synchronisation in time and frequency domain respectively. The analysis is reported for four groups of children including typical, Autism Spectrum Disorder (ASD), low and high anxiety subjects - a total of 44 subjects. In all cases, we observe consistent existence of these states - termed as synchrostates - within specific cognition related frequency bands (beta and gamma bands), though the topographies of these synchrostates differ for different subject groups with different pathological conditions. The inter-synchrostate switching follows a well-defined sequence capturing the underlying inter-electrode phase relation dynamics in stimulus- and person-centric manner. Our study is motivated from the well-known EEG microstate exhibiting stable potential maps over the scalp. However, here we report a similar observation of quasi-stable phase synchronised states in multichannel EEG. The existence of the synchrostates coupled with their unique switching sequence characteristics could be considered as a potentially new field over contemporary EEG phase synchronisation studies.