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Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective
The perceptions of our own body (e.g., size and shape) do not always coincide with its real characteristics (e.g., dimension). To track the complexity of our perception, the concept of mental representations (model) of the body has been conceived. Body representations (BRs) are stored in the brain a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498221/ https://www.ncbi.nlm.nih.gov/pubmed/36160286 http://dx.doi.org/10.3389/fnbot.2022.964720 |
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author | Risso, Gaia Bassolino, Michela |
author_facet | Risso, Gaia Bassolino, Michela |
author_sort | Risso, Gaia |
collection | PubMed |
description | The perceptions of our own body (e.g., size and shape) do not always coincide with its real characteristics (e.g., dimension). To track the complexity of our perception, the concept of mental representations (model) of the body has been conceived. Body representations (BRs) are stored in the brain and are maintained and updated through multiple sensory information. Despite being altered in different clinical conditions and being tightly linked with self-consciousness, which is one of the most astonishing features of the human mind, the BRs and, especially, the underlying mechanisms and functions are still unclear. In this vein, here we suggest that (neuro)robotics can make an important contribution to the study of BRs. The first section of the study highlights the potential impact of robotics devices in investigating BRs. Far to be exhaustive, we illustrate major examples of its possible exploitation to further improve the assessment of motor, haptic, and multisensory information building up the BRs. In the second section, we review the main evidence showing the contribution of neurorobotics-based (multi)sensory stimulation in reducing BRs distortions in various clinical conditions (e.g., stroke, amputees). The present study illustrates an emergent multidisciplinary perspective combining the neuroscience of BRs and (neuro)robotics to understand and modulate the perception and experience of one's own body. We suggest that (neuro)robotics can enhance the study of BRs by improving experimental rigor and introducing new experimental conditions. Furthermore, it might pave the way for the rehabilitation of altered body perceptions. |
format | Online Article Text |
id | pubmed-9498221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94982212022-09-23 Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective Risso, Gaia Bassolino, Michela Front Neurorobot Neuroscience The perceptions of our own body (e.g., size and shape) do not always coincide with its real characteristics (e.g., dimension). To track the complexity of our perception, the concept of mental representations (model) of the body has been conceived. Body representations (BRs) are stored in the brain and are maintained and updated through multiple sensory information. Despite being altered in different clinical conditions and being tightly linked with self-consciousness, which is one of the most astonishing features of the human mind, the BRs and, especially, the underlying mechanisms and functions are still unclear. In this vein, here we suggest that (neuro)robotics can make an important contribution to the study of BRs. The first section of the study highlights the potential impact of robotics devices in investigating BRs. Far to be exhaustive, we illustrate major examples of its possible exploitation to further improve the assessment of motor, haptic, and multisensory information building up the BRs. In the second section, we review the main evidence showing the contribution of neurorobotics-based (multi)sensory stimulation in reducing BRs distortions in various clinical conditions (e.g., stroke, amputees). The present study illustrates an emergent multidisciplinary perspective combining the neuroscience of BRs and (neuro)robotics to understand and modulate the perception and experience of one's own body. We suggest that (neuro)robotics can enhance the study of BRs by improving experimental rigor and introducing new experimental conditions. Furthermore, it might pave the way for the rehabilitation of altered body perceptions. Frontiers Media S.A. 2022-09-08 /pmc/articles/PMC9498221/ /pubmed/36160286 http://dx.doi.org/10.3389/fnbot.2022.964720 Text en Copyright © 2022 Risso and Bassolino. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Risso, Gaia Bassolino, Michela Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective |
title | Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective |
title_full | Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective |
title_fullStr | Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective |
title_full_unstemmed | Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective |
title_short | Assess and rehabilitate body representations via (neuro)robotics: An emergent perspective |
title_sort | assess and rehabilitate body representations via (neuro)robotics: an emergent perspective |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498221/ https://www.ncbi.nlm.nih.gov/pubmed/36160286 http://dx.doi.org/10.3389/fnbot.2022.964720 |
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