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A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke

BACKGROUND: A key motor skill is the ability to rapidly interact with our dynamic environment. Humans can generate goal-directed motor actions in response to sensory stimulus within ~ 60-200ms. This ability can be impaired after stroke, but most clinical tools lack any measures of rapid feedback pro...

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Autores principales: Park, Kayne, Ritsma, Benjamin R., Dukelow, Sean P., Scott, Stephen H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568927/
https://www.ncbi.nlm.nih.gov/pubmed/37821970
http://dx.doi.org/10.1186/s12984-023-01262-0
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author Park, Kayne
Ritsma, Benjamin R.
Dukelow, Sean P.
Scott, Stephen H.
author_facet Park, Kayne
Ritsma, Benjamin R.
Dukelow, Sean P.
Scott, Stephen H.
author_sort Park, Kayne
collection PubMed
description BACKGROUND: A key motor skill is the ability to rapidly interact with our dynamic environment. Humans can generate goal-directed motor actions in response to sensory stimulus within ~ 60-200ms. This ability can be impaired after stroke, but most clinical tools lack any measures of rapid feedback processing. Reaching tasks have been used as a framework to quantify impairments in generating motor corrections for individuals with stroke. However, reaching may be inadequate as an assessment tool as repeated reaching can be fatiguing for individuals with stroke. Further, reaching requires many trials to be completed including trials with and without disturbances, and thus, exacerbate fatigue. Here, we describe a novel robotic task to quantify rapid feedback processing in healthy controls and compare this performance with individuals with stroke to (more) efficiently identify impairments in rapid feedback processing. METHODS: We assessed a cohort of healthy controls (n = 135) and individuals with stroke (n = 40; Mean 41 days from stroke) in the Fast Feedback Interception Task (FFIT) using the Kinarm Exoskeleton robot. Participants were instructed to intercept a circular white target moving towards them with their hand represented as a virtual paddle. On some trials, the arm could be physically perturbed, the target or paddle could abruptly change location, or the target could change colour requiring the individual to now avoid the target. RESULTS: Most participants with stroke were impaired in reaction time (85%) and end-point accuracy (83%) in at least one of the task conditions, most commonly with target or paddle shifts. Of note, this impairment was also evident in most individuals with stroke when performing the task using their unaffected arm (75%). Comparison with upper limb clinical measures identified moderate correlations with the FFIT. CONCLUSION: The FFIT was able to identify a high proportion of individuals with stroke as impaired in rapid feedback processing using either the affected or unaffected arms. The task allows many different types of feedback responses to be efficiently assessed in a short amount of time.
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spelling pubmed-105689272023-10-13 A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke Park, Kayne Ritsma, Benjamin R. Dukelow, Sean P. Scott, Stephen H. J Neuroeng Rehabil Research BACKGROUND: A key motor skill is the ability to rapidly interact with our dynamic environment. Humans can generate goal-directed motor actions in response to sensory stimulus within ~ 60-200ms. This ability can be impaired after stroke, but most clinical tools lack any measures of rapid feedback processing. Reaching tasks have been used as a framework to quantify impairments in generating motor corrections for individuals with stroke. However, reaching may be inadequate as an assessment tool as repeated reaching can be fatiguing for individuals with stroke. Further, reaching requires many trials to be completed including trials with and without disturbances, and thus, exacerbate fatigue. Here, we describe a novel robotic task to quantify rapid feedback processing in healthy controls and compare this performance with individuals with stroke to (more) efficiently identify impairments in rapid feedback processing. METHODS: We assessed a cohort of healthy controls (n = 135) and individuals with stroke (n = 40; Mean 41 days from stroke) in the Fast Feedback Interception Task (FFIT) using the Kinarm Exoskeleton robot. Participants were instructed to intercept a circular white target moving towards them with their hand represented as a virtual paddle. On some trials, the arm could be physically perturbed, the target or paddle could abruptly change location, or the target could change colour requiring the individual to now avoid the target. RESULTS: Most participants with stroke were impaired in reaction time (85%) and end-point accuracy (83%) in at least one of the task conditions, most commonly with target or paddle shifts. Of note, this impairment was also evident in most individuals with stroke when performing the task using their unaffected arm (75%). Comparison with upper limb clinical measures identified moderate correlations with the FFIT. CONCLUSION: The FFIT was able to identify a high proportion of individuals with stroke as impaired in rapid feedback processing using either the affected or unaffected arms. The task allows many different types of feedback responses to be efficiently assessed in a short amount of time. BioMed Central 2023-10-11 /pmc/articles/PMC10568927/ /pubmed/37821970 http://dx.doi.org/10.1186/s12984-023-01262-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Park, Kayne
Ritsma, Benjamin R.
Dukelow, Sean P.
Scott, Stephen H.
A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
title A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
title_full A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
title_fullStr A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
title_full_unstemmed A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
title_short A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
title_sort robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568927/
https://www.ncbi.nlm.nih.gov/pubmed/37821970
http://dx.doi.org/10.1186/s12984-023-01262-0
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