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Detecting Consciousness with a Brain-Computer Interface

  • Quentin Noirhomme
  • Damien Lesenfants
  • Rémy Lehembre
  • Zulay Lugo
  • Camille Chatelle
  • Audrey Vanhaudenhuyse
  • Steven Laureys
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 1)

Abstract

Recent electrophysiological and neuroimaging studies showed command-specific changes in EEG or fMRI signals of unresponsive patients providing motor-independent evidence of conscious thoughts. These promising results have paved the way for a new application for Brain-computer Interface (BCI): detecting consciousness in patients with disorders of consciousness (DOC). In the present abstract, we review the first results obtained by BCI-like applications in patients with DOC and discuss the challenges facing BCI research. We believe that patients with DOC may benefit from BCI based diagnosis. BCIs may detect changes in the signal in response to command and, in some cases, may permit communication.

Keywords

fMRI Signal Imagery Task Conscious Thought Slow Cortical Potential Unresponsive Wakefulness Syndrome 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Quentin Noirhomme
    • 1
    • 2
  • Damien Lesenfants
    • 1
    • 2
  • Rémy Lehembre
    • 1
    • 2
  • Zulay Lugo
    • 1
    • 2
    • 3
  • Camille Chatelle
    • 1
    • 2
  • Audrey Vanhaudenhuyse
    • 1
    • 2
  • Steven Laureys
    • 1
    • 2
  1. 1.Coma Science Group, Cyclotron Research CentreUniversity of LiègeLiègeBelgium
  2. 2.Neurology DepartmentUniversity Hospital of LiègeLiègeBelgium
  3. 3.Department of Psychology IUniversity of WürzburgWürzburgGermany

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