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Neuromechanical Biomarkers for Robotic Neurorehabilitation
One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice. In this regard, the robot-assisted interventions have gained popularity as they can provid...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579108/ https://www.ncbi.nlm.nih.gov/pubmed/34776920 http://dx.doi.org/10.3389/fnbot.2021.742163 |
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author | Garro, Florencia Chiappalone, Michela Buccelli, Stefano De Michieli, Lorenzo Semprini, Marianna |
author_facet | Garro, Florencia Chiappalone, Michela Buccelli, Stefano De Michieli, Lorenzo Semprini, Marianna |
author_sort | Garro, Florencia |
collection | PubMed |
description | One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice. In this regard, the robot-assisted interventions have gained popularity as they can provide the objective and quantifiable assessment of the motor performance by taking the kinematics parameters into the account. Neurophysiological parameters have also been proposed for this purpose due to the novel advances in the non-invasive signal processing techniques. In addition, other parameters linked to the motor learning and brain plasticity occurring during the rehabilitation have been explored, looking for a more holistic rehabilitation approach. However, the majority of the research done in this area is still exploratory. These parameters have shown the capability to become the “biomarkers” that are defined as the quantifiable indicators of the physiological/pathological processes and the responses to the therapeutical interventions. In this view, they could be finally used for enhancing the robot-assisted treatments. While the research on the biomarkers has been growing in the last years, there is a current need for a better comprehension and quantification of the neuromechanical processes involved in the rehabilitation. In particular, there is a lack of operationalization of the potential neuromechanical biomarkers into the clinical algorithms. In this scenario, a new framework called the “Rehabilomics” has been proposed to account for the rehabilitation research that exploits the biomarkers in its design. This study provides an overview of the state-of-the-art of the biomarkers related to the robotic neurorehabilitation, focusing on the translational studies, and underlying the need to create the comprehensive approaches that have the potential to take the research on the biomarkers into the clinical practice. We then summarize some promising biomarkers that are being under investigation in the current literature and provide some examples of their current and/or potential applications in the neurorehabilitation. Finally, we outline the main challenges and future directions in the field, briefly discussing their potential evolution and prospective. |
format | Online Article Text |
id | pubmed-8579108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85791082021-11-11 Neuromechanical Biomarkers for Robotic Neurorehabilitation Garro, Florencia Chiappalone, Michela Buccelli, Stefano De Michieli, Lorenzo Semprini, Marianna Front Neurorobot Neuroscience One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice. In this regard, the robot-assisted interventions have gained popularity as they can provide the objective and quantifiable assessment of the motor performance by taking the kinematics parameters into the account. Neurophysiological parameters have also been proposed for this purpose due to the novel advances in the non-invasive signal processing techniques. In addition, other parameters linked to the motor learning and brain plasticity occurring during the rehabilitation have been explored, looking for a more holistic rehabilitation approach. However, the majority of the research done in this area is still exploratory. These parameters have shown the capability to become the “biomarkers” that are defined as the quantifiable indicators of the physiological/pathological processes and the responses to the therapeutical interventions. In this view, they could be finally used for enhancing the robot-assisted treatments. While the research on the biomarkers has been growing in the last years, there is a current need for a better comprehension and quantification of the neuromechanical processes involved in the rehabilitation. In particular, there is a lack of operationalization of the potential neuromechanical biomarkers into the clinical algorithms. In this scenario, a new framework called the “Rehabilomics” has been proposed to account for the rehabilitation research that exploits the biomarkers in its design. This study provides an overview of the state-of-the-art of the biomarkers related to the robotic neurorehabilitation, focusing on the translational studies, and underlying the need to create the comprehensive approaches that have the potential to take the research on the biomarkers into the clinical practice. We then summarize some promising biomarkers that are being under investigation in the current literature and provide some examples of their current and/or potential applications in the neurorehabilitation. Finally, we outline the main challenges and future directions in the field, briefly discussing their potential evolution and prospective. Frontiers Media S.A. 2021-10-27 /pmc/articles/PMC8579108/ /pubmed/34776920 http://dx.doi.org/10.3389/fnbot.2021.742163 Text en Copyright © 2021 Garro, Chiappalone, Buccelli, De Michieli and Semprini. 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 Garro, Florencia Chiappalone, Michela Buccelli, Stefano De Michieli, Lorenzo Semprini, Marianna Neuromechanical Biomarkers for Robotic Neurorehabilitation |
title | Neuromechanical Biomarkers for Robotic Neurorehabilitation |
title_full | Neuromechanical Biomarkers for Robotic Neurorehabilitation |
title_fullStr | Neuromechanical Biomarkers for Robotic Neurorehabilitation |
title_full_unstemmed | Neuromechanical Biomarkers for Robotic Neurorehabilitation |
title_short | Neuromechanical Biomarkers for Robotic Neurorehabilitation |
title_sort | neuromechanical biomarkers for robotic neurorehabilitation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579108/ https://www.ncbi.nlm.nih.gov/pubmed/34776920 http://dx.doi.org/10.3389/fnbot.2021.742163 |
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