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Modulating the Structure of Motor Variability for Skill Learning Through Specific Muscle Synergies in Elderlies and Young Adults | IEEE Journals & Magazine | IEEE Xplore

Modulating the Structure of Motor Variability for Skill Learning Through Specific Muscle Synergies in Elderlies and Young Adults


Impact Statement:Modulating variability of specific muscle synergies and their activations may accelerate motor learning. Analyzing muscle-synergy variability could be a new way to unders...Show More

Abstract:

Objective: Motor variability – performance variations across task repetitions – has been assumed to be undesirable. But recent studies argue that variability facilitates ...Show More
Impact Statement:
Modulating variability of specific muscle synergies and their activations may accelerate motor learning. Analyzing muscle-synergy variability could be a new way to understand motor learning, development, and recovery from injury.

Abstract:

Objective: Motor variability – performance variations across task repetitions – has been assumed to be undesirable. But recent studies argue that variability facilitates early motor learning by allowing exploratory search of reward-generating motion, and that variability's structure may be modulated by neural circuits for furthering learning. What are the neural sources of learning-relevant motor variability and its modulation in humans of different ages? Methods: Elderlies and young adults played a 3-session virtual bowling while multi-muscle electromyographic signals were collected. We quantified trial-to-trial variability of muscle synergies – neuromotor control modules – and of their activations. Results: In elderlies, bowling-score gain correlated with change of activation timing variability of specific synergies, but in young adults, with variability changes of synergy-activation magnitude, and of the synergies themselves. Conclusions: Variability modulation of specific muscle synergies and their activations contribute to early motor learning. Elderly and young individuals may rely on different aspects of motor variability to drive learning.
Page(s): 33 - 40
Date of Publication: 03 January 2020
Electronic ISSN: 2644-1276
PubMed ID: 35402962

Funding Agency:


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