Volume 13, Issue 25 (9-2023)                   JRSM 2023, 13(25): 13-29 | Back to browse issues page


XML Persian Abstract Print


1- Urmia University
2- Urmia University , h.mohammadzadeh@urmia.ac.ir
Abstract:   (2058 Views)
The purpose of this study was to investigate and compare the effect of mental imagery, observational learning, combined (imagery and observational learning) and physical training on mental representation and performance of novice golfers. To this end, 60 students(age:22.8±2.11) were randomly assigned in four groups: 1) mental imagery, 2) observational learning 3) combined (imagery + observational learning) and 4) physical training. After the pre-test, the participants in each group performed the golf putting for 3 consecutive days (60 attempts per day) and the post-test was performed on the third day. Two days after the post-test, a retention test was taken. Performance accuracy and structure of mental representation of participants were measured as dependent variables. Results showed that in the golf putting variable, the physical training group was better than other groups. Also, the performance of the combined group was better than the imagery and observational learning group. In addition, in the mental representation variable, the combined group had a more structured and accurate mental representation than than other groups. In addition, the imagery group had a better mental representation than the observational learning and physical training group. Overall, The result of this study show that physical training compared to other methods increases the accuracy of golf putting. Also combined imagery and observational learning training, has a greater impact than other methods used in this study.
Full-Text [PDF 1364 kb]   (259 Downloads)    
Type of Study: Research | Subject: motor behavior
Received: 2021/04/5 | Accepted: 2021/10/6 | ePublished ahead of print: 2021/10/6 | Published: 2023/09/11

References
1. Lange C, Unnithan VB, Larkam E, Latta PM. Maximizing the benefits of Pilates-inspired exercise for learning functional motor skills. Journal of bodywork and Movement Therapies. 2000;4(2):99-108. [DOI:10.1054/jbmt.1999.0161]
2. Hodges NJ, Williams AM. Skill acquisition in sport: Research, theory and practice. 2012. [DOI:10.4324/9780203133712]
3. Hill LA. Mental representation mediation in expert golf putting [dissertation]. [Florida]: Florida State University; 2007. 114p.
4. Ericsson KA. Deliberate practice and the modifiability of body and mind: toward a science of the structure and acquisition of expert and elite performance. International journal of sport psychology. 2007.
5. Hirata Y, Matsuda H, Nemoto K, Ohnishi T, Hirao K, Yamashita F, et al. Voxel-based morphometry to discriminate early Alzheimer's disease from controls. Neuroscience letters. 2005;382(3):269-74. [DOI:10.1016/j.neulet.2005.03.038]
6. Frank C, Land WM, Schack T. Mental representation and learning: the influence of practice on the development of mental representation structure in complex action. Psychology of Sport and Exercise. 2013;14(3):353-61. [DOI:10.1016/j.psychsport.2012.12.001]
7. Land WM, Frank C, Schack T. The influence of attentional focus on the development of skill representation in a complex action. Psychology of Sport and Exercise. 2014;15(1):30-8. [DOI:10.1016/j.psychsport.2013.09.006]
8. Ericsson KA, Starkes J, Ericsson K. Development of elite performance and deliberate practice. Expert performance in sports: Advances in research on sport expertise. 2003:49-83. [DOI:10.5040/9781492596257.ch-003]
9. Jirsa V, Müller V. Cross-frequency coupling in real and virtual brain networks. Frontiers in computational neuroscience. 2013;7:78. [DOI:10.3389/fncom.2013.00078]
10. Frank C. Mental representation and learning in complex action: a perceptual-cognitive view on mental and physical practice. 2014.
11. Ste-Marie DM, Law B, Rymal AM, Jenny O, Hall C, McCullagh P. Observation interventions for motor skill learning and performance: an applied model for the use of observation. International Review of Sport and Exercise Psychology. 2012;5(2):145-76. [DOI:10.1080/1750984X.2012.665076]
12. Bandura A. Social foundations of thought and action. Englewood Cliffs, NJ. 1986;1986(23-28).
13. Horn RR, Williams AM, Hayes SJ, Hodges NJ, Scott MA. Demonstration as a rate enhancer to changes in coordination during early skill acquisition. Journal of Sports Sciences. 2007;25(5):599-614. [DOI:10.1080/02640410600947165]
14. Becker SI. The mechanism of priming: Episodic retrieval or priming of pop-out? Acta Psychologica. 2008;127(2):324-39. [DOI:10.1016/j.actpsy.2007.07.005]
15. King AJ. Auditory neuroscience: activating the cortex without sound. Current Biology. 2006;16(11):R410-R1. [DOI:10.1016/j.cub.2006.05.012]
16. Roza SJ, Govaert PP, Vrooman HA, Lequin MH, Hofman A, Steegers EA, et al. Foetal growth determines cerebral ventricular volume in infants: the Generation R Study. Neuroimage. 2008;39(4):1491-8. [DOI:10.1016/j.neuroimage.2007.11.004]
17. Lorey B, Naumann T, Pilgramm S, Petermann C, Bischoff M, Zentgraf K, et al. How equivalent are the action execution, imagery, and observation of intransitive movements? Revisiting the concept of somatotopy during action simulation. Brain and cognition. 2013;81(1):139-50. [DOI:10.1016/j.bandc.2012.09.011]
18. Clark S, Tremblay F, Ste-Marie D. Differential modulation of corticospinal excitability during observation, mental imagery and imitation of hand actions. Neuropsychologia. 2004;42(1):105-12. [DOI:10.1016/S0028-3932(03)00144-1]
19. Zabicki A, de Haas B, Zentgraf K, Stark R, Munzert J, Krüger B. Imagined and executed actions in the human motor system: testing neural similarity between execution and imagery of actions with a multivariate approach. Cerebral Cortex. 2017;27(9):4523-36. [DOI:10.1093/cercor/bhw257]
20. Holmes P, Calmels C. A neuroscientific review of imagery and observation use in sport. Journal of motor behavior. 2008;40(5):433-45. [DOI:10.3200/JMBR.40.5.433-445]
21. Bandura A. Self-efiicacy: The exercise ofcontrol. New York: Freeman; 1997.
22. Wright DJ, McCormick SA, Birks S, Loporto M, Holmes PS. Action observation and imagery training improve the ease with which athletes can generate imagery. Journal of Applied Sport Psychology. 2015;27(2):156-70. [DOI:10.1080/10413200.2014.968294]
23. Phillips RJ, Walter GC, Wilder SL, Baronowsky EA, Powley TL. Alpha-synuclein-immunopositive myenteric neurons and vagal preganglionic terminals: autonomic pathway implicated in Parkinson's disease? Neuroscience. 2008;153(3):733-50. [DOI:10.1016/j.neuroscience.2008.02.074]
24. SooHoo S, Takemoto KY, McCullagh P. A comparison of modeling and imagery on the performance of a motor skill. Journal of Sport Behavior. 2004;27(4):349.
25. Vogt S, Di Rienzo F, Collet C, Collins A, Guillot A. Multiple roles of motor imagery during action observation. Frontiers in human neuroscience. 2013;7:807. [DOI:10.3389/fnhum.2013.00807]
26. Mulder T, Zijlstra S, Zijlstra W, Hochstenbach J. The role of motor imagery in learning a totally novel movement. Experimental brain research. 2004;154(2):211-7. [DOI:10.1007/s00221-003-1647-6]
27. Meier B, Rothen N, Walter S. Developmental aspects of synaesthesia across the adult lifespan. Frontiers in human neuroscience. 2014;8:129. [DOI:10.3389/fnhum.2014.00129]
28. Guillot A, Collet C. The neurophysiological foundations of mental and motor imagery: Oxford University Press; 2010. [DOI:10.1093/acprof:oso/9780199546251.001.0001]
29. Williams SE, Cumming J, Ntoumanis N, Nordin-Bates SM, Ramsey R, Hall C. Further validation and development of the movement imagery questionnaire. Journal of sport and exercise psychology. 2012;34(5):621-46. [DOI:10.1123/jsep.34.5.621]
30. Schmidt R, Lee T. Motor control and learning: a behavioral emphasis 5th ed-Champaign, IL: Human Kinetics. United States; 2011.
31. Kim T, Frank C, Schack T. A systematic investigation of the effect of action observation training and motor imagery training on the development of mental representation structure and skill performance. Frontiers in Human Neuroscience. 2017;11:499. [DOI:10.3389/fnhum.2017.00499]
32. Frank C, Land WM, Schack T. Perceptual-cognitive changes during motor learning: The influence of mental and physical practice on mental representation, gaze behavior, and performance of a complex action. Frontiers in psychology. 2016;6:1981. [DOI:10.3389/fpsyg.2015.01981]
33. Schack T. Measuring mental representations. Handbook of measurement in sport and exercise psychology. 2012:203-14. [DOI:10.5040/9781492596332.ch-019]
34. Moradi N, Fazeli D. Investigation of effect of routine introduction, imagery and mixed methods on performance and mental representation of volleyball overhand float-serve. Journal of Sport Psychology Studies. 2017;6(20):149-68 (In Persian).
35. Frank C, Linstromberg G-L, Hennig L, Heinen T, Schack T. Team Action Imagery and Team Cognition: Imagery of Game Situations and Required Team Actions Promotes a Functional Structure in Players' Representations of Team-Level Tactics. Journal of Sport and Exercise Psychology. 2018;40(1):20-30. [DOI:10.1123/jsep.2017-0088]
36. Schack T. The cognitive architecture of complex movement. International journal of sport and exercise psychology. 2004;2(4):403-38. [DOI:10.1080/1612197X.2004.9671753]
37. Schack T, Mechsner F. Representation of motor skills in human long-term memory. Neuroscience letters. 2006;391(3):77-81. [DOI:10.1016/j.neulet.2005.10.009]
38. Miall RC, Wolpert DM. Forward models for physiological motor control. Neural networks. 1996;9(8):1265-79. [DOI:10.1016/S0893-6080(96)00035-4]

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.