Movement Accuracy Changes Muscle‐Activation Strategies in Female Subjects During a Novel Single‐Leg Weight‐Bearing Task
Year: 2009
Type: article
Abstract: OBJECTIVE: Understanding of how female subjects learn to move accurately during a resisted weight-bearing task is limited. The purpose of this study was to examine the muscle activation patterns used by female subjects in learning a novel single-leg squat (SLS) task under visual and nonvisual conditions. DESIGN: Prospective training study. SETTING: University research setting. PARTICIPANTS: Ten healthy young female participants. INTERVENTION: Subjects tracked a sinusoidal target (knee displacement) during a resisted SLS exercise during the course of 4 days, under eyes open (EO) and eyes closed (EC) conditions with the use of a custom-designed weight-bearing exercise device. MAIN OUTCOME MEASUREMENT: The accuracy of performance in tracking the target and electromyographic activity (EMG) of 5 muscles around the knee were monitored. RESULTS: Subjects improved their accuracy of performance by day 2 (40% decrease in error) and retained the accuracy on day 4. Error during the EC condition was 3 times greater than EO condition. Quadriceps-to-hamstrings coactivation ratio increased with the improved accuracy from the learning. Absence of visual feedback was accompanied by a decrease in the quadriceps-to-hamstrings coactivation ratio for this task. CONCLUSION: The muscle synergistic activity around the knee changes as the accuracy of the task improves during a resisted weight-bearing task. This activation pattern represents a feed forward control plan that the central nervous system adopted to optimize accurate weight-bearing knee displacement. Rehabilitation specialists should consider manipulating the visual feedback and accuracy of performance when developing weight-bearing rehabilitation training protocols to improve neuromuscular control in female patients.
Source: PM&R
Authors: Sangeetha Madhavan, Richard K. Shields
Institution: University of Iowa
Language: English
Topic: Motor Control and Adaptation
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2140286266