研究生: |
江霆安 CHIANG, Ting-An |
---|---|
論文名稱: |
正念引導對於菁英高爾夫球選手單次性SMR神經回饋訓練效果之影響 Effect of Brief Mindfulness on Single Session SMR Neuro Feedback training of Elite Golfers |
指導教授: |
洪聰敏
Hung, Tsung-Min |
口試委員: |
黃崇儒
Huang, Chung-Ju 王國鑌 Wang, Kuo-Pin 洪聰敏 Hung, Tsung-Min |
口試日期: | 2024/01/29 |
學位類別: |
碩士 Master |
系所名稱: |
體育與運動科學系 Department of Physical Education and Sport Sciences |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 50 |
中文關鍵詞: | 高爾夫推桿 、感覺動作節律 、神經回饋訓練 、正念引導 |
英文關鍵詞: | golf putting, Sensorimotor rhythm, Neural Feedback Training, Brief mindfulness |
研究方法: | 實驗設計法 |
DOI URL: | http://doi.org/10.6345/NTNU202400411 |
論文種類: | 學術論文 |
相關次數: | 點閱:86 下載:9 |
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感覺動作節律(SMR)活動與運動執行中的自動化和流暢有關。根據之前的研 究,單次性神經回饋訓練可以有效提高運動表現。然而,為了讓選手進行神經回饋訓練的過程能夠更快更有效率且同時具備實用價值,加入正念引導以強化單次性神經回饋訓練之效果可能是一個方向。本研究招募了36名慣用右手的菁英業餘高爾夫選手,透過組間比較分配至有接受過正念引導的正念神經回饋組、神經回饋組和控制組。參與者被要求進行10英尺共180球推桿任務,在三組的任務相同,同時在神經回饋訓練前後紀錄SMR功率之變化。同時本研究也透過視覺類比量表來檢測前測和後測不同組別下注意力、主動控制以及放鬆程度的差異。透過單因子變異數分析進行統計分析以檢驗三個組別之間之差異。結果發現,和控制組相比正念神經回饋組以及神經回饋組在提高推桿表現(p < 0.05) 和 SMR 功率(p <0.05)方面是有效的,但是在正念神經回饋組以及神經回饋組是沒有顯著差異的。但是透過視覺類比量表我們發現,和神經回饋組以及控制組相比,正念神經回饋組的參與者對動作細節的注意力(p < 0.05)顯著低於兩組。這項研究顯示在經過正念引導過後單次性 SMR 神經回饋訓練可以改變菁英高爾夫選手在進行神經回饋時對於注意力之專注度。未來的研究建議使用長期正念訓練來檢驗其能否促進單次性神經回饋訓練之效果。
The sensorimotor rhythm (SMR) activity is associated with automation and fluency in motor execution. Previous research has shown that single-session neurofeedback training can effectively enhance athletic performance. To expedite and optimize the neurofeedback training process for athletes and simultaneously enhance its practical value, integrating mindfulness guidance to augment the effectiveness of single-session neurofeedback training may be a promising direction.
This study recruited 36 right-handed elite amateur golf players who were allocated into three groups: mindfulness neurofeedback group, neurofeedback group, and control group, through between-group comparisons. Participants were instructed to perform a 10-foot, 180-ball putting task, with the tasks being identical across all groups. Changes in SMR power were recorded before and after neurofeedback training in all groups. Additionally, differences in attention, magnitude of active control, and relaxation levels between pre- and post-tests among different groups were assessed using visual analog scales. Statistical analyses were conducted using one-way analysis of variance to examine differences among the three groups. Results indicated that compared to the control group, both the mindfulness neurofeedback group and the neurofeedback group showed significant improvements in putting performance (p < 0.05) and SMR power (p < 0.05). However, there was no significant difference between the mindfulness neurofeedback group and the neurofeedback group. Nevertheless, participants in the mindfulness neurofeedback group demonstrated significantly lower attention to movement details (p < 0.05) compared to both the neurofeedback group and the control group, as revealed by the visual analog scales.
This study suggests that single-session SMR neurofeedback training, following mindfulness guidance, could alter the attentional focus of elite golf players during neurofeedback training sessions. Future research is recommended to investigate the potential of long-term mindfulness training in enhancing the effects of single-session neurofeedback training.
Abdollahipour, R., Valtr, L., & Wulf, G. (2019). Optimizing bowling performance. Journal of Motor Learning and Development, 8(2), 233-244. doi:10.1123/jmld.2019-0017
An, J., Chua, L. K., & Wulf, G. (2020). Optimising golf putting. International Journal of Sport and Exercise Psychology, 1-13. doi: 10.1080/1612197X.2020.1854823
Balconi, M., Crivelli, D., & Angioletti, L. (2019). Efficacy of a neurofeedback training on attention and driving performance: physiological and behavioral measures. Frontiers in neuroscience, 13, 996.
Baumeister, R. F. (1984). Choking under pressure: Self-consciousness and paradoxical effects of incentives on skillful performance. Journal of Personality and Social Psychology, 46, 610–620. doi:10. 1037/0022-3514.46.3.610
Bell, J. J., & Hardy, J. (2009). Effects of attentional focus on skilled performance in golf. Journal of applied sport psychology, 21(2), 163-177. doi:10.1080/10413200902795323
Chiviacowsky, S., Wulf, G., Lewthwaite, R., & Campos, T. (2012). Motor learning benefits of self-con-trolled practice in persons with Parkinson’s disease. Gait & Posture, 35(4), 601–605. doi:10.1016/j.gaitpost.2011.12.003
Chase, M. H., & Harper, R. M. (1971). Somatomotor and visceromotor correlates of operantly conditioned 12–14 c/sec sensorimotor cortical activity. Electroencephalography and clin- ical Neurophysiology, 31(1), 85-92.
Chatrian, G. E., Lettich, E., & Nelson, P. L. (1985). Ten percent electrode system for topo- graphic studies of spontaneous and evoked EEG activities. American Journal of EEG tech- nology, 25(2), 83-92.
Chen, T. T., Wang, K. P., Chang, W. H., Kao, C. W., & Hung, T. M. (2022). Effects of the function-specific instruction approach to neurofeedback training on frontal midline theta waves and golf putting performance. Psychology of Sport and Exercise, 61, 102211.
Cheng, M. Y., Huang, C. J., Chang, Y. K., Koester, D., Schack, T., & Hung, T. M. (2015). Sensorimotor rhythm neurofeedback enhances golf putting performance. Journal of Sport and Exercise Psychology, 37(6), 626-636.
Cheng, M. Y., Wang, K. P., Hung, C. L., Tu, Y. L., Huang, C. J., Koester, D., ... & Hung, T. M. (2017). Higher power of sensorimotor rhythm is associated with better performance in skilled air-pistol shooters. Psychology of Sport and Exercise, 32, 47-53.
Crivelli, D., Fronda, G., & Balconi, M. (2019). Neurocognitive enhancement effects of combined mindfulness–neurofeedback training in sport. Neuroscience, 412, 83-93.
Coombes, S. A., Higgins, T., Gamble, K. M., Cauraugh, J. H., & Janelle, C. M. (2009). Attentional control theory: Anxiety, emotion, and motor planning. Journal of Anxiety Disorders, 23, 1072–1079. doi:10. 1016/j.janxdis.2009.07.009
Englert, C., & Oudejans, R. R. (2014). Is choking under pressure a consequence of skill-focus or increased distractibility? Results from a tennis serve task. Psychology, 5(9), 1035-1043.doi:10.4236/psych.2014.59116
Grosse-Wentrup, M., Schölkopf, B., & Hill, J. (2011). Causal influence of gamma oscillations on the sensorimotor rhythm. NeuroImage, 56(2), 837–842. https://doi.org/10.1016/j.neuroimage.2010.04.265
Gröpel, P., & Mesagno, C. (2019). Choking interventions in sports: A systematic review. International Review of sport and exercise psychology, 12(1), 176-201. doi:10.1080/1750984X.2017.1408134
Gruzelier, J. H. (2014a). Differential effects on mood of 12–15 (SMR) and 15–18 (beta1) Hz neurofeedback. International Journal of Psychophysiology, 93(1), 112–115. https://doi.org/10.1016/j.ijpsycho.2012.11.007
Gruzelier, J. H. (2014b). EEG-neurofeedback for optimising performance. III: A review of methodological and theoretical considerations. Neuroscience and Biobehavioral Reviews, 44, 159–182. https://doi. org/10.1016/j.neubiorev.2014.03.015
Gruzelier, J. H., Egner, T., & Vernon, D. J. (2006). Chapter 27 validating the efficacy of neurofeedback for optimising performance. Progress in Brain Research, 159, 421–431. https://doi.org/10.1016/S0079- 6123(06)59027-2
Gruzelier, J. H., Foks, M., Steffert, T., Chen, M. J. L., & Ros, T. (2014). Beneficial outcome from EEGneurofeedback on creative music performance, attention and well-being in school children. Biological Psychology, 95(1), 86–95. https://doi.org/10.1016/j.biopsycho.2013.04.005
Gruzelier, J. H., Inoue, A., Smart, R., Steed, A., & Steffert, T. (2010). Acting performance and flow state enhanced with sensory-motor rhythm neurofeedback comparing ecologically valid immersive VR and training screen scenarios. Neuroscience Letters, 480(2), 112–116. https://doi.org/10.1016/j. neulet.2010.06.019
Gruzelier, J. H., Thompson, T., Redding, E., Brandt, R., & Steffert, T. (2014). Application of alpha/ theta neurofeedback and heart rate variability training to young contemporary dancers: State anxiety and creativity. International Journal of Psychophysiology, 93(1), 105–111. https://doi.org/10.1016/j. ijpsycho.2013.05.004
Halperin, I., Chapman, D. T., Martin, D. T., Lewthwaite, R., & Wulf, G. (2017). Choices enhance punch-ing performance of competitive kickboxers. Psychological Research, 81(5), 1051–1058. doi:10.1007/s00426-016-0790-1
Hung, T. M., & Cheng, M. Y. (2018). Neurofeedback in sport: Theory, methods, research, and efficacy. In Handbook of sport neuroscience and psychophysiology (pp. 304-319). Routledge.
Kao, S. C., Huang, C. J., & Hung, T. M. (2013). Frontal midline theta is a specific indicator of optimal attentional engagement during skilled putting performance. Journal of Sport & Exercise Psychology, 35(5), 470–478.
Kao, S. C., Huang, C. J., & Hung, T. M. (2014). Neurofeedback training reduces frontal midline theta and improves putting performance in expert golfers. Journal of Applied Sport Psychology, 26(3), 271–286.https://doi.org/10.1080/10413200.2013.855682
Kerr, C. E., Jones, S. R., Wan, Q., Pritchett, D. L., Wasserman, R. H., Wexler, A., et al. (2011a). Effects of mindfulness meditation training on anticipatory alpha modulation in primary somatosensory cortex. Brain Res. Bull. 85, 96–103. doi: 10.1016/j.brainresbull.2011.03.026
Kerr, C. E., Josyula, K., and Littenberg, R. (2011b). Developing an observing attitude: an analysis of meditation diaries in an MBSR clinical trial. Clin. Psychol. Psychotherapy 18, 80–93. doi: 10.1002/cpp.700
Kerr, C. E., Sacchet, M. D., Lazar, S. W., Moore, C. I., and Jones, S. R. (2013). Mindfulness starts with the body: somatosensory attention and top-down modulation of cortical alpha rhythms in mindfulness meditation. Front. Hum. Neurosci. 7:12. doi: 10.3389/fnhum.2013.00012
Kober, S. E., Witte, M., Ninaus, M., Koschutnig, K., Wiesen, D., Zaiser, G., et al. (2017). Ability to gain control over one’s own brain activity and its relation to spiritual practice: a multimodal imaging study. Front. Hum. Neurosci. 11:271. doi: 10.3389/fnhum.2017.00271
Kuznetsova, A., Brockhoff, P. B., and Christensen, R. H. B. (2017). lmerTest package: tests in linear mixed effects models. J. Stat. Soft. 82, 1–26. doi: 10. 18637/jss.v082.i13
Lewthwaite, R., & Wulf, G. (2010). Social-comparative feedback affects motor skill learning. Quarterly Journal of Experimental Psychology, 63(4), 738–749. doi:10.1080/17470210903111839
McAuley, E., Duncan, T., & Tammen, V. V. (1989). Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: A confirmatory factor analysis. Research quarterly for exercise and sport, 60(1), 48-58. doi:10.1080/02701367.1989.10607413
McKay, B., Lewthwaite, R., & Wulf, G. (2012). Enhanced expectancies improve performance under pressure. Frontiers in psychology, 3, 8.doi: 10.3389/fpsyg.2012.00008
Mesagno, C., & Mullane-Grant, T. (2010). A comparison of different pre-performance routines as possible choking interventions. Journal of Applied Sport Psychology, 22, 343–360. doi:10.1080/ 10413200.2010.491780
Moran, A. P. (1996). The psychology of concentration in sport performers: A cognitive analysis. London: Taylor and Francis.doi:10.4324/9781315784946-12
Nien, J. T., Wu, C. H., Yang, K. T., Cho, Y. M., Chu, C. H., Chang, Y. K., & Zhou, C. (2020). Mindfulness training enhances endurance performance and executive functions in athletes: An event-related potential study. Neural plasticity, 2020.
Nien, J. T., Gill, D. L., Chou, T. Y., Liu, C. S., Geng, X., Hung, T. M., & Chang, Y. K. (2023). Effect of brief mindfulness and relaxation inductions on anxiety, affect and brain activation in athletes. Psychology of Sport and Exercise, 67, 102422.
Pascua, L. A. M., Wulf, G., & Lewthwaite, R. (2015). Additive benefits of external focus and enhanced performance expectancy for motor learning. Journal of Sports Sciences, 33(1), 58–66. doi:10.1080/02640414.2014.922693
Peter Gröpel & Christopher Mesagno (2019) Choking interventions in sports: A systematic review, International Review of Sport and Exercise Psychology, 12:1, 176-201, DOI: 10.1080/1750984X.2017.1408134
Shannon E. Clark & Diane M. Ste-Marie (2007) The impact of self-as-a-model interventions on children's self-regulation of learning and swimming performance, Journal of Sports Sciences Volume 25, 2007 - Issue 5: Observational Learning, Pages 577-586 doi:10.1080/02640410600947090
Singh, H., Hockwald, A., Drake, N., Avedesian, J., Lee, S.-P., & Wulf, G. (2020). Maximal force pro-duction requires OPTIMAL conditions. Human Movement Science, 73, 102661. doi:10.1016/j.humov.2020.102661
Singh, H., & Wulf, G. (2020). The distance effect and level of expertise: Is the optimal external focus different for low-skilled and high-skilled performers? Human Movement Science, 73, 102663. Doi:10.1016/j.humov.2020.102663
Smith, A. M., Adler, C. H., Crews, D., Wharen, R. E., Laskowski, E. R., Barnes, K., ... & Kaufman, K. R. (2003). The ‘Yips’ in golf. Sports Medicine, 33(1), 13-31.doi:10.2165/00007256-200333010-00002
Watkins, D. (1984). Students’ perceptions of factors influencing tertiary learning. Higher Education Research and Development, 3, 33–50. doi:10.1080/0729436840030103
Wu, J. H., Chueh, T. Y., Yu, C. L., Wang, K. P., Kao, S. C., Gentili, R. J., ... & Hung, T. M. (2023). Effect of a single session of sensorimotor rhythm neurofeedback training on the putting performance of professional golfers. Scandinavian Journal of Medicine & Science in Sports.
Witte, M., Kober, S. E., Ninaus, M., Neuper, C., & Wood, G. (2013). Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training. Frontiers in human neuroscience, 7, 478.
Wolf, S., Brölz, E., Keune, P. M., Wesa, B., Hautzinger, M., Birbaumer, N., & Strehl, U. (2015). Motor skill failure or flow-experience? Functional brain asymmetry and brain connectivity in elite and amateur table tennis players. Biological psychology, 105, 95-105. doi:10.1016/j.biopsycho.2015.01.007
Wolpaw, J. R., Birbaumer, N., Heetderks, W. J., McFarland, D. J., Peckham, P. H., Schalk, G., ... & Vaughan, T. M. (2000). Brain-computer interface technology: a review of the first international meeting. IEEE transactions on rehabilitation engineering, 8(2), 164-173.
Wood, G., & Kober, S. E. (2018). EEG neurofeedback is under strong control of psychosocial factors. Applied psychophysiology and biofeedback, 43(4), 293-300.
Wood, G., Wright, D. J., Harris, D., Pal, A., Franklin, Z. C., & Vine, S. J. (2021). Testing the construct validity of a soccer-specific virtual reality simulator using novice, academy, and professional soccer players. Virtual Reality, 25(1), 43-51.
Woods, E. A., Hernandez, A. E., Wagner, V. E., & Beilock, S. L. (2014). Expert athletes acti- vate somatosensory and motor planning regions of the brain when passively listening to familiar sports sounds. Brain and cognition, 87, 122-133.
Wu, C. T., Lo, L. C., Lin, J. H., Shih, H. S., & Hung, T. M. (2007). The relationship between basketball free throw performance and EEG coherence. International Journal of Sport & Exercise Psychology ( Chinese section ) , 5(4), 448-450. doi:10.1080/1612197X.2007.9671846
Wyrwicka, W., & Sterman, M. B. (1968). Instrumental conditioning of sensorimotor cortex EEG spindles in the waking cat. Physiology & Behavior, 3(5), 703-707.
Xiang, M. Q., Hou, X. H., Liao, B. G., Liao, J. W., & Hu, M. (2018). The effect of neurofeed- back training for sport performance in athletes: A meta-analysis. Psychology of Sport and Exercise, 36, 114-122.
Wulf, G., & Lewthwaite, R. (2016). Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning. Psychonomic bulletin & review, 23(5), 1382-1414. doi:10.3758/s13423-015-0999-9
Wulf, G. (2013). Attentional focus and motor learning: a review of 15 years. International Review of sport and Exercise psychology, 6(1), 77-104.doi:10.1080/1750984X.2012.723728
Ziv, G., Ochayon, M., & Lidor, R. (2019). Enhanced or diminished expectancies in golf putting – which actually affects performance? Psychology of Sport and Exercise, 40, 82–86. doi:10.1016/j.psychsport.2018
Zich, C., Debener, S., Kranczioch, C., Bleichner, M. G., Gutberlet, I., & De Vos, M. (2015). Real-time EEG feedback during simultaneous EEG–fMRI identifies the cortical signature of motor imagery. Neuroimage, 114, 438-447.
Zoefel, B., Huster, R. J., & Herrmann, C. S. (2011). Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. Neuroimage, 54(2), 1427-1431.