Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice
Robot-assisted arm training (RAAT) has demonstrated promising potential in improving rehabilitation outcomes for individuals with neurological conditions, particularly stroke. Despite 20 years of their use in clinical and research settings, there are still significant needs to be made concerning cli...
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Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Neurology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1506889/full |
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author | Giovanni Morone Giovanni Morone Marco Tramontano Marco Tramontano Stefano Paolucci Antonio Cerasa Antonio Cerasa Irene Ciancarelli Alex Martino Cinnera Marco Iosa Marco Iosa Rocco Salvatore Calabrò |
author_facet | Giovanni Morone Giovanni Morone Marco Tramontano Marco Tramontano Stefano Paolucci Antonio Cerasa Antonio Cerasa Irene Ciancarelli Alex Martino Cinnera Marco Iosa Marco Iosa Rocco Salvatore Calabrò |
author_sort | Giovanni Morone |
collection | DOAJ |
description | Robot-assisted arm training (RAAT) has demonstrated promising potential in improving rehabilitation outcomes for individuals with neurological conditions, particularly stroke. Despite 20 years of their use in clinical and research settings, there are still significant needs to be made concerning clinical indications. In the present perspective manuscript, we provide some hypotheses of the suitability of different RAAT according to the features of the available devices and clinical characteristics, showing their limitations and strengths. Several factors were considered in the optimization of RAAT intervention, including the technological characteristics of the devices (e.g., support and constriction), the residual upper limb motor function, and the clinical phase of stroke. Finally, we outline key areas for improvement to advance the field in the near future and provide neuroscientific bases for hypotheses of tailored RAAT training to improve the outcome of robotic rehabilitation. |
format | Article |
id | doaj-art-582469f9ff98471b840336940ae8a292 |
institution | Kabale University |
issn | 1664-2295 |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neurology |
spelling | doaj-art-582469f9ff98471b840336940ae8a2922025-01-29T05:21:09ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-01-011610.3389/fneur.2025.15068891506889Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practiceGiovanni Morone0Giovanni Morone1Marco Tramontano2Marco Tramontano3Stefano Paolucci4Antonio Cerasa5Antonio Cerasa6Irene Ciancarelli7Alex Martino Cinnera8Marco Iosa9Marco Iosa10Rocco Salvatore Calabrò11Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, ItalySan Raffaele Sulmona, Sulmona, ItalyDepartment of Biomedical and Neuromotor Science, University of Bologna, Bologna, ItalyUnit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyIRCCS Santa Lucia Foundation, Rome, ItalyInstitute of BioImaging and Complex Biological Systems, National Research Council (IBSBC-CNR), Catanzaro, ItalySant'Anna Institute, Crotone, ItalyDepartment of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, ItalyIRCCS Santa Lucia Foundation, Rome, ItalyIRCCS Santa Lucia Foundation, Rome, ItalyDepartment of Psychology, Sapienza University, Rome, ItalyIRCCS Bonino Pulejo Neurology Center, Messina, ItalyRobot-assisted arm training (RAAT) has demonstrated promising potential in improving rehabilitation outcomes for individuals with neurological conditions, particularly stroke. Despite 20 years of their use in clinical and research settings, there are still significant needs to be made concerning clinical indications. In the present perspective manuscript, we provide some hypotheses of the suitability of different RAAT according to the features of the available devices and clinical characteristics, showing their limitations and strengths. Several factors were considered in the optimization of RAAT intervention, including the technological characteristics of the devices (e.g., support and constriction), the residual upper limb motor function, and the clinical phase of stroke. Finally, we outline key areas for improvement to advance the field in the near future and provide neuroscientific bases for hypotheses of tailored RAAT training to improve the outcome of robotic rehabilitation.https://www.frontiersin.org/articles/10.3389/fneur.2025.1506889/fullrobotic devicesexoskeleton devicesstrokerehabilitationupper extremity |
spellingShingle | Giovanni Morone Giovanni Morone Marco Tramontano Marco Tramontano Stefano Paolucci Antonio Cerasa Antonio Cerasa Irene Ciancarelli Alex Martino Cinnera Marco Iosa Marco Iosa Rocco Salvatore Calabrò Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice Frontiers in Neurology robotic devices exoskeleton devices stroke rehabilitation upper extremity |
title | Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice |
title_full | Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice |
title_fullStr | Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice |
title_full_unstemmed | Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice |
title_short | Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice |
title_sort | tailoring robot assisted arm training to individuals with stroke bridging neuroscience principles and clinical practice |
topic | robotic devices exoskeleton devices stroke rehabilitation upper extremity |
url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1506889/full |
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