Literature DB >> 17992083

Brain-computer interfaces in the continuum of consciousness.

Andrea Kübler1, Boris Kotchoubey.   

Abstract

PURPOSE OF REVIEW: To summarize recent developments and look at important future aspects of brain-computer interfaces. RECENT
FINDINGS: Recent brain-computer interface studies are largely targeted at helping severely or even completely paralysed patients. The former are only able to communicate yes or no via a single muscle twitch, and the latter are totally nonresponsive. Such patients can control brain-computer interfaces and use them to select letters, words or items on a computer screen, for neuroprosthesis control or for surfing the Internet. This condition of motor paralysis, in which cognition and consciousness appear to be unaffected, is traditionally opposed to nonresponsiveness due to disorders of consciousness. Although these groups of patients may appear to be very alike, numerous transition states between them are demonstrated by recent studies.
SUMMARY: All nonresponsive patients can be regarded on a continuum of consciousness which may vary even within short time periods. As overt behaviour is lacking, cognitive functions in such patients can only be investigated using neurophysiological methods. We suggest that brain-computer interfaces may provide a new tool to investigate cognition in disorders of consciousness, and propose a hierarchical procedure entailing passive stimulation, active instructions, volitional paradigms, and brain-computer interface operation.

Entities:  

Mesh:

Year:  2007        PMID: 17992083     DOI: 10.1097/WCO.0b013e3282f14782

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  12 in total

1.  Brain-computer interface: current and emerging rehabilitation applications.

Authors:  Janis J Daly; Jane E Huggins
Journal:  Arch Phys Med Rehabil       Date:  2015-03       Impact factor: 3.966

2.  Using brain-computer interfaces to overcome the extinction of goal-directed thinking in minimally conscious state patients.

Authors:  Giulia Liberati; Niels Birbaumer
Journal:  Cogn Process       Date:  2012-08

Review 3.  Understanding, detecting, and stimulating consciousness recovery in the ICU.

Authors:  Daniel Kondziella; Moshgan Amiri; Marwan H Othman; Elisabeth Waldemar Jakobsen; Tejs Jansen; Kirsten Møller
Journal:  Acta Neurochir (Wien)       Date:  2022-10-15       Impact factor: 2.816

4.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

5.  Learning to modulate one's own brain activity: the effect of spontaneous mental strategies.

Authors:  Silvia E Kober; Matthias Witte; Manuel Ninaus; Christa Neuper; Guilherme Wood
Journal:  Front Hum Neurosci       Date:  2013-10-18       Impact factor: 3.169

6.  Brain-computer interfaces: a neuroscience paradigm of social interaction? A matter of perspective.

Authors:  Jérémie Mattout
Journal:  Front Hum Neurosci       Date:  2012-06-01       Impact factor: 3.169

Review 7.  Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness.

Authors:  Emilia Mikołajewska; Dariusz Mikołajewski
Journal:  Mil Med Res       Date:  2014-07-14

8.  Toward a new application of real-time electrophysiology: online optimization of cognitive neurosciences hypothesis testing.

Authors:  Gaëtan Sanchez; Jean Daunizeau; Emmanuel Maby; Olivier Bertrand; Aline Bompas; Jérémie Mattout
Journal:  Brain Sci       Date:  2014-01-23

9.  Task instructions modulate the attentional mode affecting the auditory MMN and the semantic N400.

Authors:  Helena Erlbeck; Andrea Kübler; Boris Kotchoubey; Sandra Veser
Journal:  Front Hum Neurosci       Date:  2014-08-27       Impact factor: 3.169

10.  Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data.

Authors:  Ruben G L Real; Boris Kotchoubey; Andrea Kübler
Journal:  Front Neurosci       Date:  2014-09-10       Impact factor: 4.677

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