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Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
Published on: May 20, 2020
Motor adaptation during redundant tasks with the wrist
Domenico Formica1, Domenico Campolo, Fabrizio Taffoni
1Laboratory of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, 00218 Rome, Italy. d.formica@unicampus.it
Summary
The central nervous system (CNS) adapts wrist movements during redundant tasks. Motor strategies, like Donders
Area of Science:
- Neuroscience
- Motor Control
- Biomechanics
Background:
- The central nervous system (CNS) must solve motor redundancy problems during complex movements.
- Donders' law describes a strategy for resolving redundant degrees of freedom in eye movements, but its role in limb movements is less understood.
- Understanding motor adaptation in redundant tasks is crucial for rehabilitation and understanding neural control.
Purpose of the Study:
- To investigate motor adaptation in the human wrist during a redundant task.
- To determine if the CNS's strategy for solving redundancy (Donders' law) is maintained during adaptation.
- To assess whether motor strategies adapt or remain invariant during adaptation and washout phases.
Main Methods:
- Participants performed a redundant wrist task under perturbation.
- Motor adaptation and washout phases were analyzed.
- Donders' law was assessed by analyzing the curvature of Donders' surfaces and thickness values.
Main Results:
- The CNS successfully adapted wrist movements to the perturbation, even within a redundant task.
- Motor strategies, specifically Donders' law, were not disrupted during adaptation, with thickness values remaining physiological.
- Analysis of Donders' surfaces indicated that motor strategies remained invariant throughout adaptation and washout.
Conclusions:
- Motor adaptation occurs in redundant tasks, demonstrating the CNS's flexibility.
- The neural control strategy (Donders' law) for resolving redundancy remains stable during adaptation.
- Motor strategies for redundant tasks are invariant, suggesting a robust underlying neural mechanism.

