TY - JOUR T1 - EEG microstate dynamics indicate a U-shaped path to propofol-induced loss of consciousness JF - bioRxiv DO - 10.1101/2021.10.26.465841 SP - 2021.10.26.465841 AU - Fiorenzo Artoni AU - Julien Maillard AU - Juliane Britz AU - Martin Seeber AU - Christopher Lysakowski AU - Lucie Bréchet AU - Martin R. Tramèr AU - Christoph M. Michel Y1 - 2021/01/01 UR - http://biorxiv.org/content/early/2021/11/02/2021.10.26.465841.abstract N2 - It is commonly believed that the stream of consciousness is not continuous but parsed into transient brain states manifesting themselves as discrete spatiotemporal patterns of global neuronal activity. Electroencephalographical (EEG) microstates are proposed as the neurophysiological correlates of these transiently stable brain states that last for fractions of seconds. To further understand the link between EEG microstate dynamics and consciousness, we continuously recorded high-density EEG in 23 surgical patients from their awake state to unconsciousness, induced by step-wise increasing concentrations of the intravenous anesthetic propofol. Besides the conventional parameters of microstate dynamics, we introduce a new method that estimates the complexity of microstate sequences. The brain activity under the surgical anesthesia showed a decreased sequence complexity of the stereotypical microstates, which became sparser and longer-lasting. However, we observed an initial increase in microstates’ temporal dynamics and complexity with increasing depth of sedation leading to a distinctive “U-shape” that may be linked to the paradoxical excitation induced by moderate levels of propofol. Our results support the idea that the brain is in a metastable state under normal conditions, balancing between order and chaos in order to flexibly switch from one state to another. The temporal dynamics of EEG microstates indicate changes of this critical balance between stability and transition that lead to altered states of consciousness.HighlightsEEG microstates capture discrete spatiotemporal patterns of global neuronal activityWe studied their temporal dynamics in relation to different states of consciousnessWe introduce a new method to estimate the complexity of microstates sequencesWith moderate sedation complexity increases then decreases with full sedationComplexity of microstate sequences is sensitive to altered states of consciousnessCompeting Interest StatementThe authors have declared no competing interest. ER -