Journal of Research in Rehabilitation Sciences

Practicing Task-Specific Instability Challenge in Performance and Acquisition of a Complex Motor Skill

Document Type : Original Articles

Authors

1 PhD Candidate, Department of Motor Behavior, School of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran

2 Associate Professor, Department of Motor Behavior, School of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran

3 Assistant Professor, Department of Motor Behavior, School of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran

4 Associate Professor, Biomechanics Laboratory, Department of Rehabilitation Basic Sciences, School of Rehabilitation, Iran University of Medical Sciences, Tehran, Iran

10.22122/jrrs.v12i5.2769

Abstract

Introduction: Motor skill acquisition studies have shown that the performance of a motor task will be smoother after practice; however, the type of practice is very important. Thus, the aim of this study was to investigate the effect of practice with task-specific instability on performance and acquisition of a throwing skill.Materials and Methods: This quasi-experimental study was conducted on 16 semi-skilled subjects under 2 practice conditions, with and without availability of visual feedback. Each practice stage involved 3 blocks of 10 trials. The subjects’ throwing skill was evaluated in pretest and posttests, before and after the practicing stages. Two repeated measures ANOVA and paired t-test were used to examine the differences between subjects in practicing and test stages at a significance level of 0.05.Results: No significant difference were observed between practice blocks in the two stages of practice; however, there were significant differences between pretest and posttest with blocks in the second stage (P = 0.001). Moreover, no significant differences were observed between the posttests of the two practice stages.Conclusion: Task-specific instability with blocking of visual feedback not only induces the acquisition of complex motor skills, but also prepares the individual for confronting unstable conditions. It is suggested that coaches and therapists train athletics and patients for performing complex skills under unstable conditions to better prepare them for confronting these conditions.

Keywords

  1. Wu YH, Latash ML. The effects of practice on coordination. Exerc Sport Sci Rev 2014; 42(1): 37-42.
  2. Zhou T, Zhang L, Latash ML. Characteristics of unintentional movements by a multijoint effector. J Mot Behav 2015; 47(4): 352-61.
  3. Reschechtko S, Hasanbarani F, Akulin VM, Latash ML. Unintentional force changes in cyclical tasks performed by an abundant system: Empirical observations and a dynamical model. Neuroscience 2017; 350: 94-109.
  4. Latash ML. The bliss (not the problem) of motor abundance (not redundancy). Exp Brain Res 2012; 217(1): 1-5.
  5. Latash ML, Scholz JP, Schoner G. Toward a new theory of motor synergies. Motor Control 2007; 11(3): 276-308.
  6. Wu YH, Pazin N, Zatsiorsky VM, Latash ML. Practicing elements versus practicing coordination: changes in the structure of variance. J Mot Behav 2012; 44(6): 471-8.
  7. Wu YH, Pazin N, Zatsiorsky VM, Latash ML. Improving finger coordination in young and elderly persons. Exp Brain Res 2013; 226(2): 273-83.
  8. Yang JF, Scholz JP, Latash ML. The role of kinematic redundancy in adaptation of reaching. Exp Brain Res 2007; 176(1): 54-69.
  9. Reschechtko S, Zatsiorsky VM, Latash ML. Task-specific stability of multifinger steady-state action. J Mot Behav 2015; 47(5): 365-77.
  10. Ikegami T, Hirashima M, Osu R, Nozaki D. Intermittent visual feedback can boost motor learning of rhythmic movements: evidence for error feedback beyond cycles. J Neurosci 2012; 32(2): 653-7.
  11. Elliott D, Hansen S, Mendoza J, Tremblay L. Learning to optimize speed, accuracy, and energy expenditure: a framework for understanding speed-accuracy relations in goal-directed aiming. J Mot Behav 2004; 36(3): 339-51.
  12. Elliott D, Hansen S. Visual regulation of manual aiming: a comparison of methods. Behav Res Methods 2010; 42(4): 1087-95.
  13. Schmidt RA, Lee T. Motor control and learning. Champaign, IL: Human Kinetics; 1988.
  14. Magill RA. Motor learning and control: Concepts and applications. New York, NY: McGraw-Hill; 2007.
  15. Keele SW, Posner MI. Processing of visual feedback in rapid movements. J Exp Psychol 1968; 77(1): 155-8.
  16. Elliott D, Allard F. The utilization of visual feedback information during rapid pointing movements. Q J Exp Psychol A 1985; 37(3): 407-25.
  17. Zelaznik HZ, Hawkins B, Kisselburgh L. Rapid visual feedback processing in single-aiming movements. J Mot Behav 1983; 15(3): 217-36.
  18. Burkitt JJ, Grierson LEM, Staite V, Elliott D, Lyons J. The impact of prior knowledge about visual feedback on motor performance and learning. Advances in Physical Education 2013; 3(1): 1-9.
  19. Okazaki VH, Rodacki AL. Increased distance of shooting on basketball jump shot. J Sports Sci Med 2012; 11(2): 231-7.
  20. Button C, MacLeod M, Sanders R, Coleman S. Examining movement variability in the basketball free-throw action at different skill levels. Res Q Exerc Sport 2003; 74(3): 257-69.
  21. Khan MA, Elliot D, Coull J, Chua R, Lyons J. Optimal control strategies under different feedback schedules: kinematic evidence. J Mot Behav 2002; 34(1): 45-57.
  22. Wu YH, Truglio TS, Zatsiorsky VM, Latash ML. Learning to combine high variability with high precision: Lack of transfer to a different task. J Mot Behav 2015; 47(2): 153-65.
  23. Hansen S, Glazebrook CM, Anson JG, Weeks DJ, Elliott D. The influence of advance information about target location and visual feedback on movement planning and execution. Can J Exp Psychol 2006; 60(3): 200-8.
Journal of Research in Rehabilitation Sciences
Volume 12, Issue 5 - Serial Number 5
January 2017
Pages 283-289