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Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive
Ahmed A Mostafa1,2, Bernard Marius 't Hart1, Denise Y P Henriques1
1CVR / Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Plos One
|August 30, 2019
Summary
Proprioception, or the sense of limb position, is crucial for movement planning and adaptation. This study shows proprioception significantly influences hand localization, even when predicted sensory feedback is altered.
Area of Science:
- Neuroscience
- Motor Control
- Human Movement Science
Background:
- Accurate limb position estimation is vital for planning and executing movements.
- Motor adaptation research often prioritizes predicted sensory consequences over proprioception.
- Understanding the interplay between proprioception and predicted sensory information is key to motor learning.
Purpose of the Study:
- To investigate the relative contributions of proprioception and predicted sensory consequences to hand localization.
- To differentiate the roles of proprioception and efference-based predictions in motor adaptation.
- To quantify how different training paradigms affect limb position estimation.
Main Methods:
- Utilized two training paradigms: 'exposure training' with robot-controlled movements and visual rotation, and 'classic training' with self-generated movements.
- Measured hand localization using 'active localization' (self-generated movements) and 'passive localization' (robot-generated movements) after training.
- Assessed shifts in both open-loop reaches and hand localization estimates.
Main Results:
- Exposure training led to similar shifts in active and passive hand localization, highlighting proprioception's role.
- Classic training resulted in a larger shift in active localization than passive, indicating updated predicted sensory consequences.
- Both training types showed substantial changes in reaches and localization, with exposure training being only slightly less effective than classic training.
Conclusions:
- Proprioception plays a substantial role in estimating limb position and planning movements, even after motor adaptation.
- Predicted sensory consequences also contribute to hand localization, particularly after training involving self-generated movements.
- The findings underscore the importance of considering proprioceptive recalibration in motor learning and adaptation models.
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