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Pointing to oneself: active versus passive proprioception revisited and implications for internal models of motor
Charles Capaday1, Warren G Darling, Konrad Stanek
1Brain and Movement Laboratory, Department of Electrical Engineering, Technical University of Denmark, 2800, Kongens Lyngby, Denmark. charles.capaday@ccapcable.com
Experimental Brain Research
|June 13, 2013
Summary
Active versus passive proprioception accuracy was studied in 3D movements. Results show similar accuracy for both active and passive limb position sensing, questioning internal models for movement estimation.
Area of Science:
- Neuroscience
- Biomechanics
- Human Movement Science
Background:
- Proprioception, the sense of limb position, is crucial for motor control.
- The role of internal models in processing proprioceptive information during active movements is debated.
Purpose of the Study:
- To compare the accuracy of active versus passive proprioception in unconstrained 3D movements.
- To investigate the influence of movement duration on proprioceptive accuracy.
- To evaluate the necessity of internal forward models for limb position estimation.
Main Methods:
- Subjects performed pointing movements to proprioceptively match limb positions.
- Both active (self-generated) and passive (experimenter-generated) limb movements were tested.
- Visual feedback was manipulated (eyes open/closed) and movement duration varied.
Main Results:
- High accuracy was observed in localizing limb position using proprioception during unconstrained movements.
- Active and passive proprioception yielded comparable accuracy in estimating final limb position.
- Movement duration did not significantly affect the accuracy of proprioceptive estimates.
- Accuracy was not improved with eyes open compared to eyes closed.
Conclusions:
- Proprioceptive information provides highly accurate limb position estimates in natural movements.
- Active proprioception offers no accuracy advantage over passive proprioception.
- The findings challenge the necessity of invoking internal forward models to explain limb position estimation accuracy.
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