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Sensory Prediction of Limb Movement Is Critical for Automatic Online Control
Anne-Emmanuelle Priot1,2, Patrice Revol2,3, Olivier Sillan2
1Department of Neurosciences and Cognitive Sciences, Perception Team, Institut de Recherche Biomédicale des Armées, Brétigny-sur-Orge, France.
Frontiers in Human Neuroscience
|November 2, 2020
Summary
Accurate sensory predictions are crucial for fast, automatic movement corrections. When predictions are wrong, visual feedback is less effective, requiring slower, conscious control.
Area of Science:
- Neuroscience
- Motor Control
- Human Movement
Background:
- Online movement control relies on correcting inaccurate motor planning.
- The roles of predicted sensory reafferences and actual visual feedback in error correction are debated.
Purpose of the Study:
- To investigate the distinct contributions of predicted visual reafferences and visual feedback to online motor error correction.
- To determine how the accuracy of predicted reafferences influences the processing of visual feedback.
Main Methods:
- Two experiments (Prism and Jump) induced undetected planning errors with varying accuracy of predicted visual reafferences.
- Visual feedback during movement execution was manipulated (visible or hidden).
Main Results:
- The Prism experiment (erroneous predictions) showed late, reduced error correction, even with visual feedback.
- The Jump experiment (accurate predictions) demonstrated early, automatic error correction, independent of visual feedback.
Conclusions:
- Accurate sensory predictions are critical for rapid and automatic processing of visual feedback during movement.
- Inefficient visual feedback processing and delayed correction occur when predictions are inaccurate, necessitating voluntary control.
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