Abstract

The purpose of this study was to determine if a general motor program controlled some or all aspects of overhand throwing. Using a 12 camera Vicon motion analysis system to record data from body markers, a group of 30 Australian Aboriginal children 6-10 years of age threw with maximal effort into a large target area. Data were reduced and analyzed for numerous variables and correlations were calculated between dominant and non-dominant side variables that were deemed reliable. Results indicated that five variables showed significant dominant to non-dominant correlations. However, only two of the five were entered into both multiple regressions to predict horizontal ball velocity for the dominant vs. non-dominant sides. The variables entered suggested that more gross aspects of the movement (stride distance and pelvis flexion) were both correlated from dominant to non-dominant sides and predicted horizontal ball velocity. Thus, the general motor program does not appear to control the more complex and coordinated parts of the throwing motion.

Highlights

  • IntroductionThe Central Nervous System (CNS) has been postulated to control task performance of a class of movements using pre-programmed strategies

  • The Central Nervous System (CNS) has been postulated to control task performance of a class of movements using pre-programmed strategies. These strategies comprise the general motor program (GMP), which can be adapted depending on choice of parameters [1]

  • Consistent with this, the current study reveals a moderate correlation for horizontal adduction at ball release between dominant and non-dominant arms suggesting an association with a GMP

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Summary

Introduction

The Central Nervous System (CNS) has been postulated to control task performance of a class of movements using pre-programmed strategies These strategies comprise the general motor program (GMP), which can be adapted depending on choice of parameters [1]. In a study of mirror writing, Latash [2] concludes that bilateral transfer, an indicator of the existence of a GMP, is accomplished by using external space variables, or task-specific motor learning. He reported intrinsic variables associated with the tasks may provide input into an internal model used to coordinate movement [2]

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