EEG Microstates in Altered States of Consciousness

Author: Lucie Bréchet1,2, Christoph M Michel1,3
1 Functional Brain Mapping Laboratory, Department of Fundamental Neuroscience, University of Geneva, Geneva, Switzerland.
2 Department of Neurology, Harvard Medical School, Boston, MA, United States.
3 Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.
Conference/Journal: Front Psychol
Date published: 2022 Apr 27
Other: Volume ID: 13 , Pages: 856697 , Special Notes: doi: 10.3389/fpsyg.2022.856697. , Word Count: 207

Conscious experiences unify distinct phenomenological experiences that seem to be continuously evolving. Yet, empirical evidence shows that conscious mental activity is discontinuous and can be parsed into a series of states of thoughts that manifest as discrete spatiotemporal patterns of global neuronal activity lasting for fractions of seconds. EEG measures the brain's electrical activity with high temporal resolution on the scale of milliseconds and, therefore, might be used to investigate the fast spatiotemporal structure of conscious mental states. Such analyses revealed that the global scalp electric fields during spontaneous mental activity are parceled into blocks of stable topographies that last around 60-120 ms, the so-called EEG microstates. These brain states may be representing the basic building blocks of consciousness, the "atoms of thought." Altered states of consciousness, such as sleep, anesthesia, meditation, or psychiatric diseases, influence the spatiotemporal dynamics of microstates. In this brief perspective, we suggest that it is possible to examine the underlying characteristics of self-consciousness using this EEG microstates approach. Specifically, we will summarize recent results on EEG microstate alterations in mind-wandering, meditation, sleep and anesthesia, and discuss the functional significance of microstates in altered states of consciousness.

Keywords: EEG microstates; altered states of consciousness; anesthesia; dreaming; meditation; mind-wandering.

PMID: 35572333 PMCID: PMC9094618 DOI: 10.3389/fpsyg.2022.856697