Nature Communications (Feb 2022)

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

  • 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

DOI
https://doi.org/10.1038/s41467-022-28451-0
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

Read online

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.