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Abstract
This paper introduces an explainable consciousness indicator (ECI) using deep learning to distinguish between arousal and awareness in altered states of consciousness. Electroencephalographic (EEG) responses to transcranial magnetic stimulation (TMS) were used in sleep, general anesthesia, and severe brain injury patients. The ECI effectively quantifies both arousal and awareness, distinguishing states like ketamine-induced anesthesia (low arousal, high awareness) from others. Parietal regions showed the most relevance in quantifying both components.
Publisher
Nature Communications
Published On
Feb 25, 2022
Authors
Minji Lee, Leandro R. D. Sanz, Alice Barra, Audrey Wolff, Jaakko O. Nieminen, Melanie Boly, Mario Rosanova, Silvia Casarotto, Olivier Bodart, Jitka Annen, Aurore Thibaut, Rajanikant Panda, Vincent Bonhomme, Marcello Massimini, Giulio Tononi, Steven Laureys, Olivia Gosseries, Seong-Whan Lee
Tags
explainable consciousness indicator
deep learning
arousal
awareness
EEG responses
altered states of consciousness
transcranial magnetic stimulation

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