题名

以注意力及自動化觀點探討SMR與運動表現之關係

并列篇名

Associations between sensorimotor rhythm and sport performance: Views of attention and automation

DOI

10.6497/BSEPT2016.1602.05

作者

沈震(Cheng Shen);王國鑌(Kuo-Pin Wang);陳泰廷(Tai-Ting Chen)

关键词

自我調節 ; 神經回饋 ; P300 ; 神經效率 ; self-regulation ; neurofeedback ; P300 ; neural efficiency

期刊名称

臺灣運動心理學報

卷期/出版年月

16卷2期(2016 / 11 / 01)

页次

85 - 101

内容语文

繁體中文

中文摘要

優異的運動表現可能來自於較佳的注意力與自動化動作展現,注意力與自動化都是提升運動表現的關鍵要素之一。感覺動作頻率 (sensorimotor rhythm, SMR)為12~15Hz的腦波頻率段,其與體感知覺訊息處理有關。過去研究發現增加SMR功率,代表個體抑制多餘或不相關的體感訊息,能提升知覺敏感度,進而獲得較佳的訊息處理品質。從注意力觀點來說,SMR功率上升,能抑制不相關的訊息,專注於事件相關的線索,提高體感知覺訊息處理的訊噪比,使個體能有效分配注意力資源,有助於注意力的提升。從自動化觀點來說,增加SMR可以減少處理體感訊息,降低動作控制的需求,促進動作流暢度。因此,SMR能透過促進注意力與動作自動化來提升運動表現。本文將針對SMR與自動化和注意力相關的研究進行整理與回顧,並提供未來研究上的建議。

英文摘要

Excellent performance may come from a better attention and automation action. Attention and automation are the key elements to enhance athletic performance. Sensorimotor rhythm (SMR) with 12~15Hz is related to processing perceptual information. Increasing SMR power represents that individuals suppress redundant or irrelevant information, enhance perceptual sensitivity and better quality of information processing. From attention standpoint, increasing SMR power could inhibit irrelevant information, focus on event-related clues, improve perceptual information processing and make individuals effectively allocate attentional resources, help to improve attention. From an automation perspective, increasing SMR reduces the processing of somatosensory information and the needs of motor control to promote flow experiences. Therefore, SMR could improve athletic performance by promoting attention and automation. This article would focus on reviews and researches that discuss the relationship between SMR and automation and attention, and provide recommendations for future researches.

主题分类 社會科學 > 心理學
社會科學 > 體育學
参考文献
  1. (2005).Trends in Chronobiology Research.
  2. Babiloni, C.,Del Percio, C.,Iacoboni, M.,Infarinato, F.,Lizio, R.,Marzano, N.,Eusebi, F.(2008).Golf putt outcomes are predicted by sensorimotor cerebral EEG rhythms.The Journal of Physiology,586,131-139.
  3. Babiloni, C.,Marzano, N.,Infarinato, F.,Iacoboni, M.,Rizza, G.,Aschieri, P.,Del Percio, C.(2010)."Neural efficiency" of experts'brain during judgment of actions: A high-resolution EEG study in elite and amateur karate athletes.Behavioural Brain Research,207,466-475.
  4. Bauer, M.,Oostenveld, R.,Peeters, M.,Fries, P.(2006).Tactile spatial attention enhances gamma-band activity in somatosensory cortex and reduces low-frequency activity in parieto-occipital areas.The Journal of Neuroscience,26,490-501.
  5. Bernardi, G.,Ricciardi, E.,Sani, L.,Gaglianese, A.,Papasogli, A.,Ceccarelli, R.,Pietrini, P.(2013).How skill expertise shapes the brain functional architecture: an fMRI study of visuo-spatial and motor processing in professional racing-car and naïve drivers.PLoS One,8(10),e77764.
  6. Blankertz, B.,Sannelli, C.,Halder, S.,Hammer, E. M.,Kübler, A.,Müller, K. R.,Dickhaus, T.(2010).Neurophysiological predictor of SMR-based BCI performance.NeuroImage,51,1303-1309.
  7. Blumenstein, B.,Bar-Eli, M.(2001).A five-step approach for biofeedback training in sport.Sportwissenschaft,31,412-424.
  8. Cheng, M. Y.,Hung, C. L.,Huang, C. J.,Chang, Y. K.,Lo, L. C.,Shen, C.,Hung, T. M.(2015).Expert-novice differences in SMR activity during dart throwing.Biological Psychology,110,212-218.
  9. Cheyne, D. O.(2013).MEG studies of sensorimotor rhythms: a review.Experimental Neurology,245,27-39.
  10. Churchill, J. D.,Galvez, R.,Colcombe, S.,Swain, R. A.,Kramer, A. F.,Greenough, W. T.(2002).Exercise, experience and the aging brain.Neurobiology of Aging,23,941-955.
  11. Del Percio, C.,Rossini, P. M.,Marzano, N.,Iacoboni, M.,Infarinato, F.,Aschieri, P.,Babiloni, C.(2008).Is there a "neural efficiency" in athletes? A high-resolution EEG study.NeuroImage,42,1544-1553.
  12. Donahue, M. J.,Hoogduin, H.,Smith, S. M.,Siero, J. C.,Chappell, M.,Petridou, N.,Hendrikse, J.(2012).Spontaneous blood oxygenation level‐dependent fMRI signal is modulated by behavioral state and correlates with evoked response in sensorimotor cortex: A 7.0‐T fMRI study.Human Brain Mapping,33,511-522.
  13. Donchin, E.,Coles, M. G.(1988).Is the P300 component a manifestation of context updating?.Behavioral and Brain Sciences,11,357-374.
  14. Doppelmayr, M.,Weber, E.(2011).Effects of SMR and theta/beta neurofeedback on reaction times, spatial abilities, and creativity.Journal of Neurotherapy,15,115-129.
  15. Egner, T.,Gruzelier, J. H.(2001).Learned self-regulation of EEG frequency components affects attention and event-related brain potentials in humans.Neuroreport,12,4155-4159.
  16. Fitts, P. M.,Posner, M. I.(1967).Human performance.Belmont, CA:Brock-Cole.
  17. Gould, D.,Jackson, S. A.,Eklund, R. C.(1992).1988 US Olympic wrestling excellence: II. Thoughts and affect occurring during competition.Sport Psychologist,6,358-382.
  18. Gray, H. M.,Ambady, N.,Lowenthal, W. T.,Deldin, P.(2004).P300 as an index of attention to self-relevant stimuli.Journal of Experimental Social Psychology,40,216-224.
  19. Gruzelier, J. H.(2014).Differential effects on mood of 12-15 (SMR) and 15-18 (beta1) Hz neurofeedback.International Journal of Psychophysiology,93,112-115.
  20. Gruzelier, J. H.,Foks, M.,Steffert, T.,Chen, M. L.,Ros, T.(2014).Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children.Biological Psychology,95,86-95.
  21. Gruzelier, J.,Egner, T.,Vernon, D.(2006).Validating the efficacy of neurofeedback for optimising performance.Progress in Brain Research,159,421-431.
  22. Gruzelier, J.,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,480,112-116.
  23. Halder, S.,Agorastos, D.,Veit, R.,Hammer, E. M.,Lee, S.,Varkuti, B.,Kübler, A.(2011).Neural mechanisms of brain–computer interface control.NeuroImage,55,1779-1790.
  24. Harris, C. M.,Wolpert, D. M.(1998).Signal-dependent noise determines motor planning.Nature,394,780-784.
  25. Hatfield, B. D.,Landers, D. M.,Ray, W. J.(1984).Cognitive processes during self-paced motor performance: An electroencephalographic profile of skilled marksmen.Journal of Sport Psychology,6,42-59.
  26. 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,35,470-478.
  27. 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,26,271-286.
  28. Kerick, S. E.,McDowell, K.,Hung, T.-M.,Santa Maria, D. L.,Spalding, T. W.,Hatfield, B. D.(2001).The role of the left temporal region under the cognitive motor demands of shooting in skilled marksmen.Biological Psychology,58,263-277.
  29. Kim, J.,Lee, H. M.,Kim, W. J.,Park, H. J.,Kim, S. W.,Moon, D. H.,Tennant, L. K.(2008).Neural correlates of pre-performance routines in expert and novice archers.Neuroscience Letters,445,236-241.
  30. Kober, S. E.,Witte, M.,Stangl, M.,Valjamae, A.,Neuper, C.,Wood, G.(2015).Shutting down sensorimotor interference unblocks the networks for stimulus processing: An SMR neurofeedback training study.Clinical Neurophysiology,126,82-95.
  31. Krane, V.,Williams, J.(2006).Psychological characteristics of peak performance.Applied Sport Psychology: Personal Growth to Peak Performance,5,207-227.
  32. Lemon, R. N.,Griffiths, J.(2005).Comparing the function of the corticospinal system in different species: Organizational differences for motor specialization?.Muscle & Nerve,32,261-279.
  33. Lu, Z. L.,Dosher, B. A.(1998).External noise distinguishes attention mechanisms.Vision Research,38,1183-1198.
  34. Lubar, J. F.,Bahler, W. W.(1976).Behavioral management of epileptic seizures following EEG biofeedback training of the sensorimotor rhythm.Biofeedback and Self-Regulation,1,77-104.
  35. Mann, C. A.,Sterman, M. B.,Kaiser, D. A.(1996).Suppression of EEG rhythmic frequencies during somato-motor and visuo-motor behavior.International Journal of Psychophysiology,23,1-7.
  36. Neuper, C.,Pfurtscheller, G.(2001).Event-related dynamics of cortical rhythms: Frequency-specific features and functional correlates.International Journal of Psychophysiology,43,41-58.
  37. Ninaus, M.,Kober, S. E.,Witte, M.,Koschutnig, K.,Neuper, C.,Wood, G.(2015).Brain volumetry and self-regulation of brain activity relevant for neurofeedback.Biological Psychology,110,126-133.
  38. Osaka, M., ,Komori, M.,Morishita, M.,Osaka, N.(2007).Neural bases of focusing attention in working memory: An fMRI study based on group differences.Cognitive, Affective, & Behavioral Neuroscience,7,130-139.
  39. Poldrack, R. A.,Sabb, F. W.,Foerde, K.,Tom, S. M.,Asarnow, R. F.,Bookheimer, S. Y.,Knowlton, B. J.(2005).The neural correlates of motor skill automaticity.The Journal of Neuroscience,25,5356-5364.
  40. Ros, T.,Moseley, M. J.,Bloom, P. A.,Benjamin, L.,Parkinson, L. A.,Gruzelier, J. H.(2009).Optimizing microsurgical skills with EEG neurofeedback.BMC Neuroscience,10,87.
  41. Sabate, M.,Llanos, C.,Enriquez, E.,Rodriguez, M.(2012).Mu rhythm, visual processing and motor control.Clinical Neurophysiology,123,550-557.
  42. Schaechter, J. D.,van Oers, C. A.,Groisser, B. N.,Salles, S. S.,Vangel, M. G.,Moore, C. I.,Dijkhuizen, R. M.(2012).Increase in sensorimotor cortex response to somatosensory stimulation over subacute poststroke period correlates with motor recovery in hemiparetic patients.Neurorehabilitation and Neural Repair,26,325-334.
  43. Schneider, W.,Shiffrin, R. M.(1977).Controlled and automatic human information processing. I. Detection, search, and attention.Psychological Review,84,1-66.
  44. Seemüller, A.,Müller, E. M.,Rösler, F.(2012).EEG-power and-coherence changes in a unimodal and a crossmodal working memory task with visual and kinesthetic stimuli.International Journal of Psychophysiology,83,87-95.
  45. Spinks, R. L.,Kraskov, A.,Brochier, T.,Umilta, M. A.,Lemon, R. N.(2008).Selectivity for grasp in local field potential and single neuron activity recorded simultaneously from M1 and F5 in the awake macaque monkey.The Journal of Neuroscience,28,10961-10971.
  46. Steriade, M.,Jones, E. G.,McCormick, D. A.(1997).Thalamus: organization and function.New York:Elsevier.
  47. Sterman, M. B.(1996).Physiological origins and functional correlates of EEG rhythmic activities: Implications for self-regulation.Biofeedback and Self-Regulation,21,3-33.
  48. Sterman, M. B.,Friar, L.(1972).Suppression of seizures in an epileptic following sensorimotor EEG feedback training.Electroencephalography and Clinical Neurophysiology,33,89-95.
  49. Sterman, M. B.,Wyrwicka, W. E. E. G.(1967).EEG correlates of sleep: Evidence for separate forebrain substrates.Brain Research,6,143-163.
  50. Sun, F. T.,Miller, L. M.,Rao, A. A.,D'Esposito, M.(2007).Functional connectivity of cortical networks involved in bimanual motor sequence learning.Cerebral Cortex,17,1227-1234.
  51. Totsika, V.,Wulf, G.(2003).The influence of external and internal foci of attention on transfer to novel situations and skills.Research Quarterly for Exercise and Sport,74,220-232.
  52. Voss, M. W.,Kramer, A. F.,Basak, C.,Prakash, R. S.,Roberts, B.(2010).Are expert athletes'expert' in the cognitive laboratory? A meta-analytic review of cognition and sport expertise.Applied Cognitive Psychology,24,812-826.
  53. Wu, T.,Kansaku, K.,Hallett, M.(2004).How self-initiated memorized movements become automatic: A functional MRI study.Journal of Neurophysiology,91,1690-1698.
  54. Yarrow, K.,Brown, P.,Krakauer, J. W.(2009).Inside the brain of an elite athlete: the neural processes that support high achievement in sports.Nature Reviews Neuroscience,10,585-596.