Age-based model for metacarpophalangeal joint proprioception in elderly

Mike D Rinderknecht,1 Olivier Lambercy,1 Vanessa Raible,2 Joachim Liepert,2 Roger Gassert1 1Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland; 2Department of Neurorehabilitation, Klinik...

Full description

Bibliographic Details
Main Authors: Rinderknecht MD, Lambercy O, Raible V, Liepert J, Gassert R
Format: Article
Language:English
Published: Dove Medical Press 2017-04-01
Series:Clinical Interventions in Aging
Subjects:
MCP
Online Access:https://www.dovepress.com/age-based-model-for-metacarpophalangeal-joint-proprioception-in-elderl-peer-reviewed-article-CIA
id doaj-ba458828f8a44020908172318a3ac357
record_format Article
spelling doaj-ba458828f8a44020908172318a3ac3572020-11-25T01:15:20ZengDove Medical PressClinical Interventions in Aging1178-19982017-04-01Volume 1263564332253Age-based model for metacarpophalangeal joint proprioception in elderlyRinderknecht MDLambercy ORaible VLiepert JGassert RMike D Rinderknecht,1 Olivier Lambercy,1 Vanessa Raible,2 Joachim Liepert,2 Roger Gassert1 1Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland; 2Department of Neurorehabilitation, Kliniken Schmieder, Allensbach, Germany Abstract: Neurological injuries such as stroke can lead to proprioceptive impairment. For an informed diagnosis, prognosis, and treatment planning, it is essential to be able to distinguish between healthy performance and deficits following the neurological injury. Since there is some evidence that proprioception declines with age and stroke occurs predominantly in the elderly population, it is important to create a healthy reference model in this specific age group. However, most studies investigate age effects by comparing young and elderly subjects and do not provide a model within a target age range. Moreover, despite the functional relevance of the hand in activities of daily living, age-based models of distal proprioception are scarce. Here, we present a proprioception model based on the assessment of the metacarpophalangeal joint angle difference threshold in 30 healthy elderly subjects, aged 55–80 years (median: 63, interquartile range: 58–66), using a robotic tool to apply passive flexion–extension movements to the index finger. A two-alternative forced-choice paradigm combined with an adaptive algorithm to define stimulus magnitude was used. The mixed-effects model analysis revealed that aging has a significant, increasing effect on the difference threshold at the metacarpophalangeal joint, whereas other predictors (eg, tested hand or sex) did not show a significant effect. The adaptive algorithm allowed reaching an average assessment duration <15 minutes, making its clinical applicability realistic. This study provides further evidence for an age-related decline in proprioception at the level of the hand. The established age-based model of proprioception in elderly may serve as a reference model for the proprioceptive performance of stroke patients, or of any other patient group with central or peripheral proprioceptive impairments. Furthermore, it demonstrates the potential of such automated robotic tools as a rapid and quantitative assessment to be used in research and clinical settings. Keywords: aging, difference threshold, hand function, joint position sense, MCP, robotic assessment, presbypropria, somatosensationhttps://www.dovepress.com/age-based-model-for-metacarpophalangeal-joint-proprioception-in-elderl-peer-reviewed-article-CIAagingdifference thresholdhand functionjoint position senseMCProbotic assessment
collection DOAJ
language English
format Article
sources DOAJ
author Rinderknecht MD
Lambercy O
Raible V
Liepert J
Gassert R
spellingShingle Rinderknecht MD
Lambercy O
Raible V
Liepert J
Gassert R
Age-based model for metacarpophalangeal joint proprioception in elderly
Clinical Interventions in Aging
aging
difference threshold
hand function
joint position sense
MCP
robotic assessment
author_facet Rinderknecht MD
Lambercy O
Raible V
Liepert J
Gassert R
author_sort Rinderknecht MD
title Age-based model for metacarpophalangeal joint proprioception in elderly
title_short Age-based model for metacarpophalangeal joint proprioception in elderly
title_full Age-based model for metacarpophalangeal joint proprioception in elderly
title_fullStr Age-based model for metacarpophalangeal joint proprioception in elderly
title_full_unstemmed Age-based model for metacarpophalangeal joint proprioception in elderly
title_sort age-based model for metacarpophalangeal joint proprioception in elderly
publisher Dove Medical Press
series Clinical Interventions in Aging
issn 1178-1998
publishDate 2017-04-01
description Mike D Rinderknecht,1 Olivier Lambercy,1 Vanessa Raible,2 Joachim Liepert,2 Roger Gassert1 1Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland; 2Department of Neurorehabilitation, Kliniken Schmieder, Allensbach, Germany Abstract: Neurological injuries such as stroke can lead to proprioceptive impairment. For an informed diagnosis, prognosis, and treatment planning, it is essential to be able to distinguish between healthy performance and deficits following the neurological injury. Since there is some evidence that proprioception declines with age and stroke occurs predominantly in the elderly population, it is important to create a healthy reference model in this specific age group. However, most studies investigate age effects by comparing young and elderly subjects and do not provide a model within a target age range. Moreover, despite the functional relevance of the hand in activities of daily living, age-based models of distal proprioception are scarce. Here, we present a proprioception model based on the assessment of the metacarpophalangeal joint angle difference threshold in 30 healthy elderly subjects, aged 55–80 years (median: 63, interquartile range: 58–66), using a robotic tool to apply passive flexion–extension movements to the index finger. A two-alternative forced-choice paradigm combined with an adaptive algorithm to define stimulus magnitude was used. The mixed-effects model analysis revealed that aging has a significant, increasing effect on the difference threshold at the metacarpophalangeal joint, whereas other predictors (eg, tested hand or sex) did not show a significant effect. The adaptive algorithm allowed reaching an average assessment duration <15 minutes, making its clinical applicability realistic. This study provides further evidence for an age-related decline in proprioception at the level of the hand. The established age-based model of proprioception in elderly may serve as a reference model for the proprioceptive performance of stroke patients, or of any other patient group with central or peripheral proprioceptive impairments. Furthermore, it demonstrates the potential of such automated robotic tools as a rapid and quantitative assessment to be used in research and clinical settings. Keywords: aging, difference threshold, hand function, joint position sense, MCP, robotic assessment, presbypropria, somatosensation
topic aging
difference threshold
hand function
joint position sense
MCP
robotic assessment
url https://www.dovepress.com/age-based-model-for-metacarpophalangeal-joint-proprioception-in-elderl-peer-reviewed-article-CIA
work_keys_str_mv AT rinderknechtmd agebasedmodelformetacarpophalangealjointproprioceptioninelderly
AT lambercyo agebasedmodelformetacarpophalangealjointproprioceptioninelderly
AT raiblev agebasedmodelformetacarpophalangealjointproprioceptioninelderly
AT liepertj agebasedmodelformetacarpophalangealjointproprioceptioninelderly
AT gassertr agebasedmodelformetacarpophalangealjointproprioceptioninelderly
_version_ 1725153914635943936