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A reliable and efficient adaptive Bayesian method to assess static lower limb position sense.

Jonathan M Wood1, Susanne M Morton1, Hyosub E Kim2

  • 1Department of Physical Therapy, University of Delaware, Newark, DE 19711, United States; Biomechanics and Movement Sciences Program, University of Delaware, Newark, DE 19711, United States.

Journal of Neuroscience Methods
|May 7, 2023
PubMed
Summary

A new method reliably measures lower limb proprioception during gait, crucial for understanding sensorimotor adaptation and improving balance in clinical research.

Keywords:
Bayesian adaptive algorithmBayesian statisticsLower limbPosition senseProprioceptionPsychophysics

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Area of Science:

  • Neuroscience
  • Biomechanics
  • Human Movement Science

Background:

  • Lower limb proprioception is vital for gait stability and sensorimotor adaptation.
  • The link between proprioception and gait adaptation is unclear due to a lack of valid assessment methods.
  • Existing methods are often limited to single joints or non-weight-bearing conditions.

Purpose of the Study:

  • To develop and validate a reliable and efficient method for assessing static lower limb proprioception.
  • To investigate the test-retest reliability of this novel assessment in an ecologically valid context.

Main Methods:

  • A novel psychophysical task using a dual-belt treadmill and a Bayesian adaptive algorithm was employed.
  • Participants judged foot position during passive limb movements.
  • Test-retest reliability was assessed using the Bland-Altman method and Bayesian statistics.

Main Results:

  • The developed method demonstrated good test-retest reliability for both point of subjective equality (PSE) and uncertainty estimates.
  • This approach overcomes limitations of previous methods, such as single-joint assessments and confounding factors.

Conclusions:

  • This efficient and reliable method provides a valuable tool for assessing lower limb proprioception.
  • It will advance research into locomotor adaptation, balance, and fall prevention.
  • Facilitates basic and clinical research in human movement and neurological disorders.