Cargando…

Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography

Brain computer interfaces (BCIs) provide a direct communication channel by using brain signals, enabling patients with motor impairments to interact with external devices. Motion intention detection is useful for intuitive movement-based BCI as movement is the fundamental mode of interaction with th...

Descripción completa

Detalles Bibliográficos
Autores principales: Wairagkar, Maitreyee, Hayashi, Yoshikatsu, Nasuto, Slawomir J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839569/
https://www.ncbi.nlm.nih.gov/pubmed/29509785
http://dx.doi.org/10.1371/journal.pone.0193722
_version_ 1783304433062379520
author Wairagkar, Maitreyee
Hayashi, Yoshikatsu
Nasuto, Slawomir J.
author_facet Wairagkar, Maitreyee
Hayashi, Yoshikatsu
Nasuto, Slawomir J.
author_sort Wairagkar, Maitreyee
collection PubMed
description Brain computer interfaces (BCIs) provide a direct communication channel by using brain signals, enabling patients with motor impairments to interact with external devices. Motion intention detection is useful for intuitive movement-based BCI as movement is the fundamental mode of interaction with the environment. The aim of this paper is to investigate the temporal dynamics of brain processes using electroencephalography (EEG) to explore novel neural correlates of motion intention. We investigate the changes in temporal dependencies of the EEG by characterising the decay of autocorrelation during asynchronous voluntary finger tapping movement. The evolution of the autocorrelation function is characterised by its relaxation time, which is used as a robust marker for motion intention. We observed that there was reorganisation of temporal dependencies in EEG during motion intention. The autocorrelation decayed slower during movement intention and faster during the resting state. There was an increase in temporal dependence during movement intention. The relaxation time of the autocorrelation function showed significant (p < 0.05) discrimination between movement and resting state with the mean sensitivity of 78.37 ± 8.83%. The relaxation time provides movement related information that is complementary to the well-known event-related desynchronisation (ERD) by characterising the broad band EEG dynamics which is frequency independent in contrast to ERD. It can also detect motion intention on average 0.51s before the actual movement onset. We have thoroughly compared autocorrelation relaxation time features with ERD in four frequency bands. The relaxation time may therefore, complement the well-known features used in motion-based BCI leading to more robust and intuitive BCI solutions. The results obtained suggest that changes in autocorrelation decay may involve reorganisation of temporal dependencies of brain activity over longer duration during motion intention. This opens the possibilities of investigating further the temporal dynamics of fundamental neural processes underpinning motion intention.
format Online
Article
Text
id pubmed-5839569
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-58395692018-03-23 Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography Wairagkar, Maitreyee Hayashi, Yoshikatsu Nasuto, Slawomir J. PLoS One Research Article Brain computer interfaces (BCIs) provide a direct communication channel by using brain signals, enabling patients with motor impairments to interact with external devices. Motion intention detection is useful for intuitive movement-based BCI as movement is the fundamental mode of interaction with the environment. The aim of this paper is to investigate the temporal dynamics of brain processes using electroencephalography (EEG) to explore novel neural correlates of motion intention. We investigate the changes in temporal dependencies of the EEG by characterising the decay of autocorrelation during asynchronous voluntary finger tapping movement. The evolution of the autocorrelation function is characterised by its relaxation time, which is used as a robust marker for motion intention. We observed that there was reorganisation of temporal dependencies in EEG during motion intention. The autocorrelation decayed slower during movement intention and faster during the resting state. There was an increase in temporal dependence during movement intention. The relaxation time of the autocorrelation function showed significant (p < 0.05) discrimination between movement and resting state with the mean sensitivity of 78.37 ± 8.83%. The relaxation time provides movement related information that is complementary to the well-known event-related desynchronisation (ERD) by characterising the broad band EEG dynamics which is frequency independent in contrast to ERD. It can also detect motion intention on average 0.51s before the actual movement onset. We have thoroughly compared autocorrelation relaxation time features with ERD in four frequency bands. The relaxation time may therefore, complement the well-known features used in motion-based BCI leading to more robust and intuitive BCI solutions. The results obtained suggest that changes in autocorrelation decay may involve reorganisation of temporal dependencies of brain activity over longer duration during motion intention. This opens the possibilities of investigating further the temporal dynamics of fundamental neural processes underpinning motion intention. Public Library of Science 2018-03-06 /pmc/articles/PMC5839569/ /pubmed/29509785 http://dx.doi.org/10.1371/journal.pone.0193722 Text en © 2018 Wairagkar et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wairagkar, Maitreyee
Hayashi, Yoshikatsu
Nasuto, Slawomir J.
Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography
title Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography
title_full Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography
title_fullStr Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography
title_full_unstemmed Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography
title_short Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography
title_sort exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839569/
https://www.ncbi.nlm.nih.gov/pubmed/29509785
http://dx.doi.org/10.1371/journal.pone.0193722
work_keys_str_mv AT wairagkarmaitreyee explorationofneuralcorrelatesofmovementintentionbasedoncharacterisationoftemporaldependenciesinelectroencephalography
AT hayashiyoshikatsu explorationofneuralcorrelatesofmovementintentionbasedoncharacterisationoftemporaldependenciesinelectroencephalography
AT nasutoslawomirj explorationofneuralcorrelatesofmovementintentionbasedoncharacterisationoftemporaldependenciesinelectroencephalography