4.7 Article

Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states - A high-density EEG study

Journal

NEUROIMAGE
Volume 265, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2022.119802

Keywords

Electroencephalography; Intrinsic neural timescales; Alpha peak frequency; Disorders of consciousness; Anaesthesia; Temporal input processing

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Our study examines the role of temporal input processing in consciousness by analyzing different timescales of input processing on resting-state high-density EEG recordings. We found that longer autocorrelation window values and slower alpha peak frequency values were consistently present in unconscious states. Additionally, there was a significant correlation between autocorrelation window and alpha peak frequency in the conscious state, which was disrupted in unconscious states. These findings highlight the importance of brain's capacity for input processing on different timescales for consciousness.
Our brain processes the different timescales of our environment's temporal input stochastics. Is such a temporal input processing mechanism key for consciousness? To address this research question, we calculated measures of input processing on shorter (alpha peak frequency, APF) and longer (autocorrelation window, ACW) timescales on resting-state high-density EEG (256 channels) recordings and compared them across different consciousness levels (awake/conscious, ketamine and sevoflurane anaesthesia, unresponsive wakefulness, minimally conscious state). We replicate and extend previous findings of: (i) significantly longer ACW values, consistently over all states of unconsciousness, as measured with ACW-0 (an unprecedented longer version of the well-know ACW-50); (ii) significantly slower APF values, as measured with frequency sliding, in all four unconscious states. Most importantly, we report a highly significant correlation of ACW-0 and APF in the conscious state, while their relationship is disrupted in the unconscious states. In sum, we demonstrate the relevance of the brain's capacity for input processing on shorter (APF) and longer (ACW) timescales - including their relationship - for consciousness. Albeit indirectly, e.g., through the analysis of electrophysiological activity at rest, this supports the mechanism of temporo-spatial alignment to the environment's temporal input stochastics, through relating different neural timescales, as one key predisposing factor of consciousness.

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