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Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals
To develop a more reliable brain–computer interface (BCI) for patients in the completely locked-in state (CLIS), here we propose a Pavlovian conditioning paradigm using galvanic vestibular stimulation (GVS), which can induce a strong sensation of equilibrium distortion in individuals. We hypothesize...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382900/ https://www.ncbi.nlm.nih.gov/pubmed/34447933 http://dx.doi.org/10.1093/texcom/tgab046 |
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author | Yoshimura, Natsue Umetsu, Kaito Tonin, Alessandro Maruyama, Yasuhisa Harada, Kyosuke Rana, Aygul Ganesh, Gowrishankar Chaudhary, Ujwal Koike, Yasuharu Birbaumer, Niels |
author_facet | Yoshimura, Natsue Umetsu, Kaito Tonin, Alessandro Maruyama, Yasuhisa Harada, Kyosuke Rana, Aygul Ganesh, Gowrishankar Chaudhary, Ujwal Koike, Yasuharu Birbaumer, Niels |
author_sort | Yoshimura, Natsue |
collection | PubMed |
description | To develop a more reliable brain–computer interface (BCI) for patients in the completely locked-in state (CLIS), here we propose a Pavlovian conditioning paradigm using galvanic vestibular stimulation (GVS), which can induce a strong sensation of equilibrium distortion in individuals. We hypothesized that associating two different sensations caused by two-directional GVS with the thoughts of “yes” and “no” by individuals would enable us to emphasize the differences in brain activity associated with the thoughts of yes and no and hence help us better distinguish the two from electroencephalography (EEG). We tested this hypothesis with 11 healthy and 1 CLIS participant. Our results showed that, first, conditioning of GVS with the thoughts of yes and no is possible. And second, the classification of whether an individual is thinking “yes” or “no” is significantly improved after the conditioning, even in the absence of subsequent GVS stimulations. We observed average classification accuracy of 73.0% over 11 healthy individuals and 85.3% with the CLIS patient. These results suggest the establishment of GVS-based Pavlovian conditioning and its usability as a noninvasive BCI. |
format | Online Article Text |
id | pubmed-8382900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-83829002021-08-25 Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals Yoshimura, Natsue Umetsu, Kaito Tonin, Alessandro Maruyama, Yasuhisa Harada, Kyosuke Rana, Aygul Ganesh, Gowrishankar Chaudhary, Ujwal Koike, Yasuharu Birbaumer, Niels Cereb Cortex Commun Original Article To develop a more reliable brain–computer interface (BCI) for patients in the completely locked-in state (CLIS), here we propose a Pavlovian conditioning paradigm using galvanic vestibular stimulation (GVS), which can induce a strong sensation of equilibrium distortion in individuals. We hypothesized that associating two different sensations caused by two-directional GVS with the thoughts of “yes” and “no” by individuals would enable us to emphasize the differences in brain activity associated with the thoughts of yes and no and hence help us better distinguish the two from electroencephalography (EEG). We tested this hypothesis with 11 healthy and 1 CLIS participant. Our results showed that, first, conditioning of GVS with the thoughts of yes and no is possible. And second, the classification of whether an individual is thinking “yes” or “no” is significantly improved after the conditioning, even in the absence of subsequent GVS stimulations. We observed average classification accuracy of 73.0% over 11 healthy individuals and 85.3% with the CLIS patient. These results suggest the establishment of GVS-based Pavlovian conditioning and its usability as a noninvasive BCI. Oxford University Press 2021-07-23 /pmc/articles/PMC8382900/ /pubmed/34447933 http://dx.doi.org/10.1093/texcom/tgab046 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Yoshimura, Natsue Umetsu, Kaito Tonin, Alessandro Maruyama, Yasuhisa Harada, Kyosuke Rana, Aygul Ganesh, Gowrishankar Chaudhary, Ujwal Koike, Yasuharu Birbaumer, Niels Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals |
title | Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals |
title_full | Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals |
title_fullStr | Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals |
title_full_unstemmed | Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals |
title_short | Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals |
title_sort | binary semantic classification using cortical activation with pavlovian-conditioned vestibular responses in healthy and locked-in individuals |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382900/ https://www.ncbi.nlm.nih.gov/pubmed/34447933 http://dx.doi.org/10.1093/texcom/tgab046 |
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