How using brain-machine interfaces influences the human sense of agency.

Brain-machine interfaces (BMI) allows individuals to control an external device by controlling their own brain activity, without requiring bodily or muscle movements. Performing voluntary movements is associated with the experience of agency ("sense of agency") over those movements and the...

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Main Authors: Emilie A Caspar, Albert De Beir, Gil Lauwers, Axel Cleeremans, Bram Vanderborght
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0245191
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spelling doaj-af61a074212e4c76beaf9c1da3d199872021-05-13T04:30:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01161e024519110.1371/journal.pone.0245191How using brain-machine interfaces influences the human sense of agency.Emilie A CasparAlbert De BeirGil LauwersAxel CleeremansBram VanderborghtBrain-machine interfaces (BMI) allows individuals to control an external device by controlling their own brain activity, without requiring bodily or muscle movements. Performing voluntary movements is associated with the experience of agency ("sense of agency") over those movements and their outcomes. When people voluntarily control a BMI, they should likewise experience a sense of agency. However, using a BMI to act presents several differences compared to normal movements. In particular, BMIs lack sensorimotor feedback, afford lower controllability and are associated with increased cognitive fatigue. Here, we explored how these different factors influence the sense of agency across two studies in which participants learned to control a robotic hand through motor imagery decoded online through electroencephalography. We observed that the lack of sensorimotor information when using a BMI did not appear to influence the sense of agency. We further observed that experiencing lower control over the BMI reduced the sense of agency. Finally, we observed that the better participants controlled the BMI, the greater was the appropriation of the robotic hand, as measured by body-ownership and agency scores. Results are discussed based on existing theories on the sense of agency in light of the importance of BMI technology for patients using prosthetic limbs.https://doi.org/10.1371/journal.pone.0245191
collection DOAJ
language English
format Article
sources DOAJ
author Emilie A Caspar
Albert De Beir
Gil Lauwers
Axel Cleeremans
Bram Vanderborght
spellingShingle Emilie A Caspar
Albert De Beir
Gil Lauwers
Axel Cleeremans
Bram Vanderborght
How using brain-machine interfaces influences the human sense of agency.
PLoS ONE
author_facet Emilie A Caspar
Albert De Beir
Gil Lauwers
Axel Cleeremans
Bram Vanderborght
author_sort Emilie A Caspar
title How using brain-machine interfaces influences the human sense of agency.
title_short How using brain-machine interfaces influences the human sense of agency.
title_full How using brain-machine interfaces influences the human sense of agency.
title_fullStr How using brain-machine interfaces influences the human sense of agency.
title_full_unstemmed How using brain-machine interfaces influences the human sense of agency.
title_sort how using brain-machine interfaces influences the human sense of agency.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
description Brain-machine interfaces (BMI) allows individuals to control an external device by controlling their own brain activity, without requiring bodily or muscle movements. Performing voluntary movements is associated with the experience of agency ("sense of agency") over those movements and their outcomes. When people voluntarily control a BMI, they should likewise experience a sense of agency. However, using a BMI to act presents several differences compared to normal movements. In particular, BMIs lack sensorimotor feedback, afford lower controllability and are associated with increased cognitive fatigue. Here, we explored how these different factors influence the sense of agency across two studies in which participants learned to control a robotic hand through motor imagery decoded online through electroencephalography. We observed that the lack of sensorimotor information when using a BMI did not appear to influence the sense of agency. We further observed that experiencing lower control over the BMI reduced the sense of agency. Finally, we observed that the better participants controlled the BMI, the greater was the appropriation of the robotic hand, as measured by body-ownership and agency scores. Results are discussed based on existing theories on the sense of agency in light of the importance of BMI technology for patients using prosthetic limbs.
url https://doi.org/10.1371/journal.pone.0245191
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