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Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning

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
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

The authors propose an explainable consciousness indicator using deep learning to quantify arousal and awareness under sleep, anesthesia, and in patients with disorders of consciousness.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.2baca00e53ab42e88162c1a4d4f0de55
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-28451-0