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EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets
In this study, we investigate the neurophysiological signature of the interacting processes which lead to a single reach-and-grasp movement imagination (MI). While performing this task, the human healthy participants could either define their movement targets according to an external cue, or through...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127278/ https://www.ncbi.nlm.nih.gov/pubmed/30190543 http://dx.doi.org/10.1038/s41598-018-31673-2 |
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author | Pereira, Joana Sburlea, Andreea Ioana Müller-Putz, Gernot R. |
author_facet | Pereira, Joana Sburlea, Andreea Ioana Müller-Putz, Gernot R. |
author_sort | Pereira, Joana |
collection | PubMed |
description | In this study, we investigate the neurophysiological signature of the interacting processes which lead to a single reach-and-grasp movement imagination (MI). While performing this task, the human healthy participants could either define their movement targets according to an external cue, or through an internal selection process. After defining their target, they could start the MI whenever they wanted. We recorded high density electroencephalographic (EEG) activity and investigated two neural correlates: the event-related potentials (ERPs) associated with the target selection, which reflect the perceptual and cognitive processes prior to the MI, and the movement-related cortical potentials (MRCPs), associated with the planning of the self-paced MI. We found differences in frontal and parietal areas between the late ERP components related to the internally-driven selection and the externally-cued process. Furthermore, we could reliably estimate the MI onset of the self-paced task. Next, we extracted MRCP features around the MI onset to train classifiers of movement vs. rest directly on self-paced MI data. We attained performance significantly higher than chance level for both time-locked and asynchronous classification. These findings contribute to the development of more intuitive brain-computer interfaces in which movement targets are defined internally and the movements are self-paced. |
format | Online Article Text |
id | pubmed-6127278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61272782018-09-10 EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets Pereira, Joana Sburlea, Andreea Ioana Müller-Putz, Gernot R. Sci Rep Article In this study, we investigate the neurophysiological signature of the interacting processes which lead to a single reach-and-grasp movement imagination (MI). While performing this task, the human healthy participants could either define their movement targets according to an external cue, or through an internal selection process. After defining their target, they could start the MI whenever they wanted. We recorded high density electroencephalographic (EEG) activity and investigated two neural correlates: the event-related potentials (ERPs) associated with the target selection, which reflect the perceptual and cognitive processes prior to the MI, and the movement-related cortical potentials (MRCPs), associated with the planning of the self-paced MI. We found differences in frontal and parietal areas between the late ERP components related to the internally-driven selection and the externally-cued process. Furthermore, we could reliably estimate the MI onset of the self-paced task. Next, we extracted MRCP features around the MI onset to train classifiers of movement vs. rest directly on self-paced MI data. We attained performance significantly higher than chance level for both time-locked and asynchronous classification. These findings contribute to the development of more intuitive brain-computer interfaces in which movement targets are defined internally and the movements are self-paced. Nature Publishing Group UK 2018-09-06 /pmc/articles/PMC6127278/ /pubmed/30190543 http://dx.doi.org/10.1038/s41598-018-31673-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pereira, Joana Sburlea, Andreea Ioana Müller-Putz, Gernot R. EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets |
title | EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets |
title_full | EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets |
title_fullStr | EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets |
title_full_unstemmed | EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets |
title_short | EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets |
title_sort | eeg patterns of self-paced movement imaginations towards externally-cued and internally-selected targets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127278/ https://www.ncbi.nlm.nih.gov/pubmed/30190543 http://dx.doi.org/10.1038/s41598-018-31673-2 |
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