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Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface
The objective of this study was to test the feasibility of using the dorsolateral prefrontal cortex as a signal source for brain–computer interface control in people with severe motor impairment. We implanted two individuals with locked-in syndrome with a chronic brain–computer interface designed to...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508852/ https://www.ncbi.nlm.nih.gov/pubmed/32963279 http://dx.doi.org/10.1038/s41598-020-71774-5 |
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author | Leinders, Sacha Vansteensel, Mariska J. Branco, Mariana P. Freudenburg, Zac V. Pels, Elmar G. M. Van der Vijgh, Benny Van Zandvoort, Martine J. E. Ramsey, Nicolas F. Aarnoutse, Erik J. |
author_facet | Leinders, Sacha Vansteensel, Mariska J. Branco, Mariana P. Freudenburg, Zac V. Pels, Elmar G. M. Van der Vijgh, Benny Van Zandvoort, Martine J. E. Ramsey, Nicolas F. Aarnoutse, Erik J. |
author_sort | Leinders, Sacha |
collection | PubMed |
description | The objective of this study was to test the feasibility of using the dorsolateral prefrontal cortex as a signal source for brain–computer interface control in people with severe motor impairment. We implanted two individuals with locked-in syndrome with a chronic brain–computer interface designed to restore independent communication. The implanted system (Utrecht NeuroProsthesis) included electrode strips placed subdurally over the dorsolateral prefrontal cortex. In both participants, counting backwards activated the dorsolateral prefrontal cortex consistently over the course of 47 and 22 months, respectively. Moreover, both participants were able to use this signal to control a cursor in one dimension, with average accuracy scores of 78 ± 9% (standard deviation) and 71 ± 11% (chance level: 50%), respectively. Brain–computer interface control based on dorsolateral prefrontal cortex activity is feasible in people with locked-in syndrome and may become of relevance for those unable to use sensorimotor signals for control. |
format | Online Article Text |
id | pubmed-7508852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75088522020-09-24 Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface Leinders, Sacha Vansteensel, Mariska J. Branco, Mariana P. Freudenburg, Zac V. Pels, Elmar G. M. Van der Vijgh, Benny Van Zandvoort, Martine J. E. Ramsey, Nicolas F. Aarnoutse, Erik J. Sci Rep Article The objective of this study was to test the feasibility of using the dorsolateral prefrontal cortex as a signal source for brain–computer interface control in people with severe motor impairment. We implanted two individuals with locked-in syndrome with a chronic brain–computer interface designed to restore independent communication. The implanted system (Utrecht NeuroProsthesis) included electrode strips placed subdurally over the dorsolateral prefrontal cortex. In both participants, counting backwards activated the dorsolateral prefrontal cortex consistently over the course of 47 and 22 months, respectively. Moreover, both participants were able to use this signal to control a cursor in one dimension, with average accuracy scores of 78 ± 9% (standard deviation) and 71 ± 11% (chance level: 50%), respectively. Brain–computer interface control based on dorsolateral prefrontal cortex activity is feasible in people with locked-in syndrome and may become of relevance for those unable to use sensorimotor signals for control. Nature Publishing Group UK 2020-09-22 /pmc/articles/PMC7508852/ /pubmed/32963279 http://dx.doi.org/10.1038/s41598-020-71774-5 Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Leinders, Sacha Vansteensel, Mariska J. Branco, Mariana P. Freudenburg, Zac V. Pels, Elmar G. M. Van der Vijgh, Benny Van Zandvoort, Martine J. E. Ramsey, Nicolas F. Aarnoutse, Erik J. Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface |
title | Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface |
title_full | Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface |
title_fullStr | Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface |
title_full_unstemmed | Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface |
title_short | Dorsolateral prefrontal cortex-based control with an implanted brain–computer interface |
title_sort | dorsolateral prefrontal cortex-based control with an implanted brain–computer interface |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508852/ https://www.ncbi.nlm.nih.gov/pubmed/32963279 http://dx.doi.org/10.1038/s41598-020-71774-5 |
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