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Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG
Further development of an EEG based communication device for patients with disorders of consciousness (DoC) could benefit from addressing the following gaps in knowledge—first, an evaluation of different types of motor imagery; second, an evaluation of passive feet movement as a mean of an initial c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264500/ https://www.ncbi.nlm.nih.gov/pubmed/25566029 http://dx.doi.org/10.3389/fnhum.2014.01009 |
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author | Horki, Petar Bauernfeind, Günther Klobassa, Daniela S. Pokorny, Christoph Pichler, Gerald Schippinger, Walter Müller-Putz, Gernot R. |
author_facet | Horki, Petar Bauernfeind, Günther Klobassa, Daniela S. Pokorny, Christoph Pichler, Gerald Schippinger, Walter Müller-Putz, Gernot R. |
author_sort | Horki, Petar |
collection | PubMed |
description | Further development of an EEG based communication device for patients with disorders of consciousness (DoC) could benefit from addressing the following gaps in knowledge—first, an evaluation of different types of motor imagery; second, an evaluation of passive feet movement as a mean of an initial classifier setup; and third, rapid delivery of biased feedback. To that end we investigated whether complex and/or familiar mental imagery, passive, and attempted feet movement can be reliably detected in patients with DoC using EEG recordings, aiming to provide them with a means of communication. Six patients in a minimally conscious state (MCS) took part in this study. The patients were verbally instructed to perform different mental imagery tasks (sport, navigation), as well as attempted feet movements, to induce distinctive event-related (de)synchronization (ERD/S) patterns in the EEG. Offline classification accuracies above chance level were reached in all three tasks (i.e., attempted feet, sport, and navigation), with motor tasks yielding significant (p < 0.05) results more often than navigation (sport: 10 out of 18 sessions; attempted feet: 7 out of 14 sessions; navigation: 4 out of 12 sessions). The passive feet movements, evaluated in one patient, yielded mixed results: whereas time-frequency analysis revealed task-related EEG changes over neurophysiological plausible cortical areas, the classification results were not significant enough (p < 0.05) to setup an initial classifier for the detection of attempted movements. Concluding, the results presented in this study are consistent with the current state of the art in similar studies, to which we contributed by comparing different types of mental tasks, notably complex motor imagery and attempted feet movements, within patients. Furthermore, we explored new venues, such as an evaluation of passive feet movement as a mean of an initial classifier setup, and rapid delivery of biased feedback. |
format | Online Article Text |
id | pubmed-4264500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42645002015-01-06 Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG Horki, Petar Bauernfeind, Günther Klobassa, Daniela S. Pokorny, Christoph Pichler, Gerald Schippinger, Walter Müller-Putz, Gernot R. Front Hum Neurosci Neuroscience Further development of an EEG based communication device for patients with disorders of consciousness (DoC) could benefit from addressing the following gaps in knowledge—first, an evaluation of different types of motor imagery; second, an evaluation of passive feet movement as a mean of an initial classifier setup; and third, rapid delivery of biased feedback. To that end we investigated whether complex and/or familiar mental imagery, passive, and attempted feet movement can be reliably detected in patients with DoC using EEG recordings, aiming to provide them with a means of communication. Six patients in a minimally conscious state (MCS) took part in this study. The patients were verbally instructed to perform different mental imagery tasks (sport, navigation), as well as attempted feet movements, to induce distinctive event-related (de)synchronization (ERD/S) patterns in the EEG. Offline classification accuracies above chance level were reached in all three tasks (i.e., attempted feet, sport, and navigation), with motor tasks yielding significant (p < 0.05) results more often than navigation (sport: 10 out of 18 sessions; attempted feet: 7 out of 14 sessions; navigation: 4 out of 12 sessions). The passive feet movements, evaluated in one patient, yielded mixed results: whereas time-frequency analysis revealed task-related EEG changes over neurophysiological plausible cortical areas, the classification results were not significant enough (p < 0.05) to setup an initial classifier for the detection of attempted movements. Concluding, the results presented in this study are consistent with the current state of the art in similar studies, to which we contributed by comparing different types of mental tasks, notably complex motor imagery and attempted feet movements, within patients. Furthermore, we explored new venues, such as an evaluation of passive feet movement as a mean of an initial classifier setup, and rapid delivery of biased feedback. Frontiers Media S.A. 2014-12-12 /pmc/articles/PMC4264500/ /pubmed/25566029 http://dx.doi.org/10.3389/fnhum.2014.01009 Text en Copyright © 2014 Horki, Bauernfeind, Klobassa, Pokorny, Pichler, Schippinger and Müller-Putz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Horki, Petar Bauernfeind, Günther Klobassa, Daniela S. Pokorny, Christoph Pichler, Gerald Schippinger, Walter Müller-Putz, Gernot R. Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG |
title | Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG |
title_full | Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG |
title_fullStr | Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG |
title_full_unstemmed | Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG |
title_short | Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG |
title_sort | detection of mental imagery and attempted movements in patients with disorders of consciousness using eeg |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264500/ https://www.ncbi.nlm.nih.gov/pubmed/25566029 http://dx.doi.org/10.3389/fnhum.2014.01009 |
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