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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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Control signal dimensionality depends on limb dynamics.

Anna S Korol¹, Valeriya Gritsenko^1,2

¹Department of Neuroscience, West Virginia University, Morgantown, West Virginia, United States of America.

|April 30, 2025

Summary

This summary is machine-generated.

Neural control simplifies movement by reducing control dimensions, using muscle synergies. This study shows control dimensionality depends on the complexity of muscle moments, supporting this strategy for limb dynamics.

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Area of Science:

Neuroscience
Biomechanics
Motor Control

Background:

The nervous system must manage the redundant degrees of freedom in the musculoskeletal system for movement control.
Muscle synergies, or motor primitives, are proposed as a mechanism to reduce the dimensionality of motor commands.
Previous research suggests muscle synergies are workspace-dependent and present in both dominant and non-dominant limbs.

Purpose of the Study:

To investigate how biomechanical constraints, specifically dynamic and gravitational forces, influence the dimensionality of the neural control space.
To test if muscle activity profiles during reaching movements can be explained by muscle moments that compensate for these forces.
To determine if the complexity of muscle moments shapes the dimensionality of neural control signals.

Main Methods:

Examined muscle activity patterns during reaching movements in various directions and postures, performed bilaterally by healthy individuals.
Utilized principal component analysis (PCA) to assess the contribution of individual muscles to muscle moments.
Compared muscle activity profiles with muscle moment profiles derived from motion capture data.

Main Results:

Muscle activity profiles during reaching were well-represented by muscle moment profiles for both dominant and non-dominant limbs.
The dimensionality of neural control signals was found to be dependent on the complexity of the required muscle moments.
Confirmed that muscle moments compensate for dynamic and gravitational forces during reaching movements.

Conclusions:

The dimensionality of the neural control space is shaped by the complexity of dynamic and gravitational forces that need compensation.
Neural control strategies for limb dynamics involve modulating co-contraction of antagonistic muscles to adjust limb stiffness.
Muscle synergies provide an efficient method for the central nervous system to control redundant musculoskeletal systems.