Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals.

Journal: Journal of neuroengineering and rehabilitation
PMID:

Abstract

BACKGROUND: Robotic technologies for neurological assessment provide sensitive, objective measures of behavioural impairments associated with injuries or disease such as stroke. Previous robotic tasks to assess proprioception typically involve single limbs or in some cases both limbs. The challenge with these approaches is that they often rely on intact motor function and/or working memory to remember/reproduce limb position, both of which can be impaired following stroke. Here, we examine the feasibility of a single-arm Movement Discrimination Threshold (MDT) task to assess proprioception by quantifying thresholds for sensing passive limb movement without vision. We use a staircase method to adjust movement magnitude based on subject performance throughout the task in order to reduce assessment time. We compare MDT task performance to our previously-designed Arm Position Matching (APM) task. Critically, we determine test-retest reliability of each task in the same population of healthy controls.

Authors

  • Catherine R Lowrey
    Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
  • Benett Blazevski
    Laboratory of Integrative Motor Behaviour, Centre for Neuroscience Studies, Queen's University, 18 Stuart St., Kingston, ON, K7L 3N6, Canada.
  • Jean-Luc Marnet
    BioEngineering and Innovation in Neuroscience, University Paris Descartes, Paris, France.
  • Helen Bretzke
    Laboratory of Integrative Motor Behaviour, Centre for Neuroscience Studies, Queen's University, 18 Stuart St., Kingston, ON, K7L 3N6, Canada.
  • Sean P Dukelow
    Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
  • Stephen H Scott
    Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada. steve.scott@queensu.ca.