Literature DB >> 28809822

Assessment and Communication for People with Disorders of Consciousness.

Rupert Ortner1, Brendan Z Allison2, Gerald Pichler3, Alexander Heilinger4, Nikolaus Sabathiel2, Christoph Guger5.   

Abstract

In this experiment, we demonstrate a suite of hybrid Brain-Computer Interface (BCI)-based paradigms that are designed for two applications: assessing the level of consciousness of people unable to provide motor response and, in a second stage, establishing a communication channel for these people that enables them to answer questions with either 'yes' or 'no'. The suite of paradigms is designed to test basic responses in the first step and to continue to more comprehensive tasks if the first tests are successful. The latter tasks require more cognitive functions, but they could provide communication, which is not possible with the basic tests. All assessment tests produce accuracy plots that show whether the algorithms were able to detect the patient's brain's response to the given tasks. If the accuracy level is beyond the significance level, we assume that the subject understood the task and was able to follow the sequence of commands presented via earphones to the subject. The tasks require users to concentrate on certain stimuli or to imagine moving either the left or right hand. All tasks are designed around the assumption that the user is unable to use the visual modality, and thus, all stimuli presented to the user (including instructions, cues, and feedback) are auditory or tactile.

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Mesh:

Year:  2017        PMID: 28809822      PMCID: PMC5613801          DOI: 10.3791/53639

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  19 in total

1.  Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI).

Authors:  C Guger; H Ramoser; G Pfurtscheller
Journal:  IEEE Trans Rehabil Eng       Date:  2000-12

2.  Optimal spatial filtering of single trial EEG during imagined hand movement.

Authors:  H Ramoser; J Müller-Gerking; G Pfurtscheller
Journal:  IEEE Trans Rehabil Eng       Date:  2000-12

Review 3.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2002-06       Impact factor: 3.708

4.  How many people are able to operate an EEG-based brain-computer interface (BCI)?

Authors:  C Guger; G Edlinger; W Harkam; I Niedermayer; G Pfurtscheller
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

5.  Sensorimotor modulation assessment and brain-computer interface training in disorders of consciousness.

Authors:  Damien Coyle; Jacqueline Stow; Karl McCreadie; Jacinta McElligott; Áine Carroll
Journal:  Arch Phys Med Rehabil       Date:  2015-03       Impact factor: 3.966

6.  Feature extraction for on-line EEG classification using principal components and linear discriminants.

Authors:  K Lugger; D Flotzinger; A Schlögl; M Pregenzer; G Pfurtscheller
Journal:  Med Biol Eng Comput       Date:  1998-05       Impact factor: 2.602

7.  A vibrotactile p300-based brain-computer interface for consciousness detection and communication.

Authors:  Zulay R Lugo; Javi Rodriguez; Alexander Lechner; Rupert Ortner; Ithabi S Gantner; Steven Laureys; Quentin Noirhomme; Christoph Guger
Journal:  Clin EEG Neurosci       Date:  2014-01-10       Impact factor: 1.843

8.  Misdiagnosis of the vegetative state: retrospective study in a rehabilitation unit.

Authors:  K Andrews; L Murphy; R Munday; C Littlewood
Journal:  BMJ       Date:  1996-07-06

Review 9.  fNIRS-based brain-computer interfaces: a review.

Authors:  Noman Naseer; Keum-Shik Hong
Journal:  Front Hum Neurosci       Date:  2015-01-28       Impact factor: 3.169

10.  Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface.

Authors:  M Jawad Khan; Melissa Jiyoun Hong; Keum-Shik Hong
Journal:  Front Hum Neurosci       Date:  2014-04-28       Impact factor: 3.169

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  3 in total

1.  EEG-based vibrotactile evoked brain-computer interfaces system: A systematic review.

Authors:  Xiuyu Huang; Shuang Liang; Zengguang Li; Cynthia Yuen Yi Lai; Kup-Sze Choi
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

2.  Network Brain-Computer Interface (nBCI): An Alternative Approach for Cognitive Prosthetics.

Authors:  Vivek P Buch; Andrew G Richardson; Cameron Brandon; Jennifer Stiso; Monica N Khattak; Danielle S Bassett; Timothy H Lucas
Journal:  Front Neurosci       Date:  2018-11-01       Impact factor: 4.677

3.  Assessing Command-Following and Communication With Vibro-Tactile P300 Brain-Computer Interface Tools in Patients With Unresponsive Wakefulness Syndrome.

Authors:  Christoph Guger; Rossella Spataro; Frederic Pellas; Brendan Z Allison; Alexander Heilinger; Rupert Ortner; Woosang Cho; Ren Xu; Vincenzo La Bella; Günter Edlinger; Jitka Annen; Giorgio Mandalá; Camille Chatelle; Steven Laureys
Journal:  Front Neurosci       Date:  2018-06-29       Impact factor: 4.677

  3 in total

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