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Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement
Area 2 of the primary somatosensory cortex (S1), encodes proprioceptive information of limbs. Several studies investigated the encoding of movement parameters in this area. However, the single-trial decoding of these parameters, which can provide additional knowledge about the amount of information...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509302/ https://www.ncbi.nlm.nih.gov/pubmed/37736040 http://dx.doi.org/10.1016/j.isci.2023.107808 |
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author | Mirfathollahi, Alavie Ghodrati, Mohammad Taghi Shalchyan, Vahid Zarrindast, Mohammad Reza Daliri, Mohammad Reza |
author_facet | Mirfathollahi, Alavie Ghodrati, Mohammad Taghi Shalchyan, Vahid Zarrindast, Mohammad Reza Daliri, Mohammad Reza |
author_sort | Mirfathollahi, Alavie |
collection | PubMed |
description | Area 2 of the primary somatosensory cortex (S1), encodes proprioceptive information of limbs. Several studies investigated the encoding of movement parameters in this area. However, the single-trial decoding of these parameters, which can provide additional knowledge about the amount of information available in sub-regions of this area about instantaneous limb movement, has not been well investigated. We decoded kinematic and kinetic parameters of active and passive hand movement during center-out task using conventional and state-based decoders. Our results show that this area can be used to accurately decode position, velocity, force, moment, and joint angles of hand. Kinematics had higher accuracies compared to kinetics and active trials were decoded more accurately than passive trials. Although the state-based decoder outperformed the conventional decoder in the active task, it was the opposite in the passive task. These results can be used in intracortical micro-stimulation procedures to provide proprioceptive feedback to BCI subjects. |
format | Online Article Text |
id | pubmed-10509302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105093022023-09-21 Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement Mirfathollahi, Alavie Ghodrati, Mohammad Taghi Shalchyan, Vahid Zarrindast, Mohammad Reza Daliri, Mohammad Reza iScience Article Area 2 of the primary somatosensory cortex (S1), encodes proprioceptive information of limbs. Several studies investigated the encoding of movement parameters in this area. However, the single-trial decoding of these parameters, which can provide additional knowledge about the amount of information available in sub-regions of this area about instantaneous limb movement, has not been well investigated. We decoded kinematic and kinetic parameters of active and passive hand movement during center-out task using conventional and state-based decoders. Our results show that this area can be used to accurately decode position, velocity, force, moment, and joint angles of hand. Kinematics had higher accuracies compared to kinetics and active trials were decoded more accurately than passive trials. Although the state-based decoder outperformed the conventional decoder in the active task, it was the opposite in the passive task. These results can be used in intracortical micro-stimulation procedures to provide proprioceptive feedback to BCI subjects. Elsevier 2023-09-01 /pmc/articles/PMC10509302/ /pubmed/37736040 http://dx.doi.org/10.1016/j.isci.2023.107808 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Mirfathollahi, Alavie Ghodrati, Mohammad Taghi Shalchyan, Vahid Zarrindast, Mohammad Reza Daliri, Mohammad Reza Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
title | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
title_full | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
title_fullStr | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
title_full_unstemmed | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
title_short | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
title_sort | decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509302/ https://www.ncbi.nlm.nih.gov/pubmed/37736040 http://dx.doi.org/10.1016/j.isci.2023.107808 |
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