Diversity and Commonality of Cognitive Profile among Static, Strategic and Interceptive Sports-Expertise

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姚在府(Zai-Fu Yao) 查詢紙本館藏

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認知與神經科學研究所

論文名稱

(Diversity and Commonality of Cognitive Profile among Static, Strategic and Interceptive Sports-Expertise)

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摘要(中)

頂尖運動員優異的運動表現及異於常人的專項運動技巧，是長期身體訓練與中樞神經系統之皮質可塑性的極致表現，也就是所謂的奧運腦。統合性回顧文獻指出，長期持續性運動訓練的選手，在複雜注意力和基礎感官動作速度的認知能力上有較佳的表現，在運動類型方面，尤以截擊式運動選手表現為佳。然而，對於不同類型的運動員，歷經長期不同訓練經驗是否導致在認知處理歷程上的差異，仍不得而知。因此，本研究採用組合技能方法，探討多面向的認知能力在不同運動類型運動員(策略式、截擊式及靜態式)上之差異。此外，應用功能性磁振造影儀，觀察不同類型的頂尖運動員在注意力網路(如警覺性、導向性及衝突性網路)的腦部血氧濃度相依比訊號的變化，藉以瞭解運動員在功能性注意力網路歷程之差異。
本實驗總共收集64位運動員，其中靜態性運動為14名游泳選手、截擊式運動為19名擊劍選手、策略性運動為15名籃球選手及高身體活動量的非運動員控制組。受試者平均年齡為18至22歲，並配對控制智力、教育程度及身體活動量等變項。實驗設計採用神經心理測驗群組量測不同面向認知能力如:停止訊號作業衡量抑制控制能力、作業轉換測驗衡量注意力轉移能力、部分報告作業衡量映像記憶能力、改變偵測作業衡量視覺空間注意能力及讓受試者進入磁振造影儀進行注意力網路作業，以衡量警覺性、導向性及衝突性網絡歷程在不同運動類型運動員上之差異。
行為實驗結果顯示，相較於截擊式、靜態式及非運動員控制組，策略性運動的籃球運動員在抑制控制能力及視覺影像記憶能力上有較佳的表現。此外，在注意力網路作業的導向性注意力整體結果顯示運動員相較於非運動員控制組有較佳的表現，暗示著運動員利用視覺空間訊息的效率高於非運動員控制組；而在視覺感官記憶能力上，運動員相較於非運動員控制組在報告刺激物所對應的目標物時有較高的正確率，該作業的敏感指標顯示運動員在感官記憶的衰退歷程較非運動員控制組來的穩定。多組主要成分分析結果顯示，視覺空間注意力及視覺感官記憶和基礎感官運動速度能力，在各組間皆有共同認知成分，而籃球運動員，擁有獨特的認知成分在抑制控制能力指標。
此外，注意力網路作業相關的功能性磁振造影結果顯示，全腦分析結果與先前研究在各個注意力網路及相對應腦區一致: 警覺性網路活化在雙側顳葉；導向性網路活化在頂葉及後額葉區；而執行控制網路則活化在雙側前額葉及扣帶皮質區。
而在功能性磁振造影結果中組間的注意力網路成分的差異，相較於其他類型運動員及非運動員，截擊式運動的擊劍選手在警覺性網路時的左腦中央後迴以及在注意力的執行控制網路的前運動皮質皆發現顯著較高的血氧濃度變化。結果顯示截擊式運動的擊劍選手，較仰賴感官動作區來處理維持警覺狀態的注意力及監測內在控制的注意力。靜態式運動的游泳運動員相較於策略式及截擊式運動，則發現在左側枕葉中迴有顯著較高的血氧濃度變化，顯示游泳運動員使用較多視覺處理的資源，處理注意力的執行控制網路。
最後，長期不同類型的組合技能的運動訓練經驗，造就特定運動員獨特的認知結構並擁有共同的認知成分。此外，截擊式及靜態式運動技能的運動員，在警覺性網路及衝突控制網路，所引起的特殊血氧濃度變化之差異，與先前不同運動類型的專項訓練需要不同的心理技能的假設一致。

摘要(英)

Recent studies demonstrated that athletes outperform ordinary people on cognitive tasks requiring processing speed and varied attention. The current study adopted a component skill approach to distinguish different types of athletes and compare their cognitive profiles. Functional MRI experiment is also conduct when participants are performing the attention network test to contrast among various groups of athletes and control to examine how they differ in the alerting (central cue – no cue), orienting (spatial cue - central cue), and conflict resolution (incongruent target – congruent target) components.
Athletes specialized in static sport (14 swimmers), interceptive sport (19 fencers), or strategic sport (15 basketball players) were recruited. Participants were assessed with a cognitive battery, which consists of tasks examining executive control (stop-signal task and task-switching task, memory (iconic memory task), and varied attention (change detection task). Between-group comparisons showed that basketball players had superior performance on inhibitory control and iconic memory. Overall, the trend of results implies that athletes had better attentional orienting to detect and utilize spatial cues and visual sensory memory than the non-athletes control group. Furthermore, the multi-group principal component analysis on the correlation matrix among task performance of each group indicated the common cognitive structure of visuospatial attention, visual sensory memory, and sensorimotor speed, while there was a unique inhibitory component in the basketball players.
The task-related FMRI findings of the attentional network in all participants regardless of groups were consistent with the previous studies on distinct neural networks associated with each of the three attention components. Alerting was associated with increased left temporal lobe activation while orienting contrast activated parietal sites and bilateral prefrontal region. Executive control activated cingulate gyrus and prefrontal regions.
As for the FMRI results of contrasting the attentional network components among groups, fencers showed significantly stronger functional activations than the other groups in the left postcentral gyrus in the contrast of the alerting component, and in the left premotor cortex during executive control of attention when compared with others. These findings indicate that fencers involved somatosensory processing in maintaining alertness and monitoring intrinsic control of visual attention. In addition, the swimmers showed stronger activation than the basketball players and the fencers in left middle occipital gyrus for conflict resolution component, which reflects that swimmer recruit more resources of visual processing to resolving the conflict.
To conclude, intensive physical training in sports experiences requiring different component skills could render the idiosyncratic cognitive structure in different types of athletes, in addition to the common cognitive components shared by all participants. Unique patterns of BOLD signal changes associated with the alerting and conflict resolution components of ANT can be observed in athletes specialized in interceptive and static sports skills, which is consistent with the idea that different sets of mental demands are required by distinct types of sports.

關鍵字(中)

★ 運動員
★ 認知剖析
★ 注意力網路
★ 感官記憶
★ 停止訊號作業
★ 組合技能

關鍵字(英)

★ Sport
★ Cognitive Profile
★ Component Skill Approach
★ Sensory memory
★ Stop Signal Task
★ Attention Network

論文目次

TABLE OF CONTENT
摘要 viii
ABSTRACT i
ACKNOWLEDGEMENTS i
Chapter 1 Introduction 1
Background 1
Literature Review 3
Research Goals 7
Chapter 2 General Methods 9
Participants 9
Demographic Questionnaire 10
Task and Materials 12
General Procedure 13
Apparatus 13
Cognitive battery 13
Executive Functions 13
Shifting: Task-Switching Task (TSWT) 15
Visual Spatial Attention: Change Detection Task (CDT) 17
Visual Sensory Memory: Iconic Memory Task (ICMT) 18
Altering, Orienting, and Conflict Resolution: Attention Networks Task (ANT) 20
Analysis of Cognitive Battery 23
Grouping of cognitive functions 24
Functional MRI Data Acquisition 25
Functional MRI Data Processing and Analysis 25
Chapter 3 Behavioral Results: Cognitive Profiles of Athletes 29
Results of Demographic Information 29
Basic Results of the Cognitive Battery 30
Executive Functions 34
Visual sensory memory: Iconic memory task 36
Visual Spatial Attention: Change Detection Task 40
Attentional orienting, readiness, & conflict resolution: ANT 40
Common and diverse characteristics among groups in cognitive profiles 42
Multi-group principal components analysis 53
Cognitive Structures Compared with the Athletes and Non-Athletes 60
Similarity of Cognitive Structure among Sport Modality 61
Chapter 4 Neuroimaging Results: Neural Substrates of Attentional Network 62
Whole brain analysis across groups 62
Alerting effect 62
Orienting effect 65
Conflict effect 66
Whole-brain comparison among different groups 67
Unique task-related activation for each group 67
Chapter 5 General Discussion 72
Sports-related Differences in Cognitive Profile 73
Inhibitory function 73
Attentional Shifting 75
Visual sensory memory 76
Visual spatial attention 78
Attentional Network Test 78
Multigroup Component Principal Analysis 80
Functional MRI and Attention Network 82
Summary 83
Chapter 6 Limitation and Future Directions 85
References 87
Appendix A : Tables 98
Appendix B: Formula 111
Appendix C: Diagram 112
Appendix D: Questionnaire 113

參考文獻

References
Abreu, A. M. (2014). Action anticipation in sports: A particular case of expert decision-making. Trends in Sport Sciences, 21(1), 5–11. Retrieved from http://ezproxy.library.yorku.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=sph&AN=97323314&site=ehost-live
Abutalebi, J., Della Rosa, P. A., Green, D. W., Hernandez, M., Scifo, P., Keim, R., … Costa, A. (2012). Bilingualism tunes the anterior cingulate cortex for conflict monitoring. Cerebral Cortex, 22(9), 2076–2086. http://doi.org/10.1093/cercor/bhr287
Aglioti, S. M., Cesari, P., Romani, M., & Urgesi, C. (2008a). Action anticipation and motor resonance in elite basketball players. Nature Neuroscience, 11(9), 1109–1116. http://doi.org/10.1038/nn.2182
Aglioti, S. M., Cesari, P., Romani, M., & Urgesi, C. (2008b). Action anticipation and motor resonance in elite basketball players. Nature Neuroscience, 11(9), 1109–1116. http://doi.org/10.1038/nn.2182
Alves, H., Voss, M. W., Boot, W. R., Deslandes, A., Cossich, V., Salles, J. I., & Kramer, A. F. (2013). Perceptual-cognitive expertise in elite volleyball players. Frontiers in Psychology, 4(MAR), 36. http://doi.org/10.3389/fpsyg.2013.00036
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(2), 466–475. http://doi.org/10.1016/j.bbr.2009.10.034
Bauman, A., Bull, F., Chey, T., Craig, C. L., Ainsworth, B. E., Sallis, J. F., … Pratt, M. (2009). The International Prevalence Study on Physical Activity: results from 20 countries. The International Journal of Behavioral Nutrition and Physical Activity, 6, 21. http://doi.org/10.1186/1479-5868-6-21
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 NaÃ¯ve Drivers. PLoS ONE, 8(10), e77764. http://doi.org/10.1371/journal.pone.0077764
Bherer, L., Erickson, K. I., & Liu-Ambrose, T. (2013). A review of the effects of physical activity and exercise on cognitive and brain functions in older adults. Journal of Aging Research, 2013, 657508. http://doi.org/10.1155/2013/657508
Braver, T. S., Reynolds, J. R., & Donaldson, D. I. (2003). Neural mechanisms of transient and sustained cognitive control during task switching. Neuron, 39(4), 713–726. http://doi.org/S0896627303004665 [pii]
Chan, J. S. Y., Wong, A. C. N., Liu, Y., Yu, J., & Yan, J. H. (2011). Fencing expertise and physical fitness enhance action inhibition. Psychology of Sport and Exercise, 12(5), 509–514. http://doi.org/10.1016/j.psychsport.2011.04.006
Chang, Y. K., Tsai, J. H. C., Wang, C. C., & Chang, E. C. (2015). Structural differences in basal ganglia of elite running versus martial arts athletes: a diffusion tensor imaging study. Experimental Brain Research. http://doi.org/10.1007/s00221-015-4293-x
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Statistical Power Analysis for the Behavioral Sciences (Vol. 2nd). http://doi.org/10.1234/12345678
Cona, G., Cavazzana, A., Paoli, A., Marcolin, G., Grainer, A., & Bisiacchi, P. S. (2015). It’s a Matter of Mind! Cognitive Functioning Predicts the Athletic Performance in Ultra-Marathon Runners. Plos One, 10(7), e0132943. http://doi.org/10.1371/journal.pone.0132943
Craig, C., Marshall, A., & Sjostrom, M. (2003). International Physical Activity Questionnaire: 12 country reliability and validity. Med Sci Sports Exercise, (August), 1–7.
Draheim, C., Hicks, K. L., & Engle, R. W. (2016). Combining Reaction Time and Accuracy: The Relationship Between Working Memory Capacity and Task Switching as a Case Example. Perspectives on Psychological Science, 11(1), 133–155. http://doi.org/10.1177/1745691615596990
Erickson, K. I., Hillman, C. H., & Kramer, A. F. (2015). Physical activity, brain, and cognition. Current Opinion in Behavioral Sciences, 4, 27–32. http://doi.org/10.1016/j.cobeha.2015.01.005
Eslami, A. A., Qannari, E. M., Bougeard, S., Sanchez, G., & Eslami, M. A. (2015). Package “ multigroup .”
Eslami, A., Qannari, E. M., Kohler, A., & Bougeard, S. (2013). General overview of methods of analysis of multi-group datasets. Revue Des Nouvelles Technologies de l’Information, 25, 108–123.
Eslami, A., Qannari, E. M., Kohler, A., & Bougeard, S. (2014). Multivariate analysis of multiblock and multigroup data. Chemometrics and Intelligent Laboratory Systems, 133, 63–69. http://doi.org/10.1016/j.chemolab.2014.01.016
Fan, J., McCandliss, B. D., Fossella, J., Flombaum, J. I., & Posner, M. I. (2005). The activation of attentional networks. NeuroImage, 26(2), 471–479. http://doi.org/10.1016/j.neuroimage.2005.02.004
Faubert, J., & Sidebottom, L. (2012). Perceptual-cognitive training of athletes. Journal of Clinical Sport Psychology, 6(1), 85–102.
Henry, N. W., Cohen, J., & Cohen, P. (1977). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Contemporary Sociology. http://doi.org/10.2307/2064799
Howie, E. K., & Pate, R. R. (2012). Physical activity and academic achievement in children: A historical perspective. Journal of Sport and Health Science, 1(3), 160–169. http://doi.org/10.1016/j.jshs.2012.09.003
Huijgen, B. C. H., Leemhuis, S., Kok, N. M., Verburgh, L., Oosterlaan, J., Elferink-Gemser, M. T., & Visscher, C. (2015). Cognitive Functions in Elite and Sub-Elite Youth Soccer Players Aged 13 to 17 Years. Plos One, 10(12), 13. http://doi.org/10.1371/journal.pone.0144580
Jacobson, J., & Matthaeus, L. (2014). Athletics and executive functioning: How athletic participation and sport type correlate with cognitive performance. Psychology of Sport and Exercise, 15(5), 521–527. http://doi.org/10.1016/j.psychsport.2014.05.005
Jin, H., Xu, G., Zhang, J. X., Gao, H., Ye, Z., Wang, P., … Lin, C. De. (2011). Event-related potential effects of superior action anticipation in professional badminton players. Neuroscience Letters, 492(3), 139–144. http://doi.org/10.1016/j.neulet.2011.01.074
Jolliffe, I. T. (2002). Principal Component Analysis, Second Edition. Encyclopedia of Statistics in Behavioral Science, 30(3), 487. http://doi.org/10.2307/1270093
Kessler, Y., & Oberauer, K. (2014). Working memory updating latency reflects the cost of switching between maintenance and updating modes of operation. Journal of Experimental Psychology. Learning, Memory, and Cognition, 40(3), 738–54. http://doi.org/10.1037/a0035545
Kioumourtzoglou, E., Kourtessis, T., Michalopoulou, M., & Derri, V. (1998). Differences in several perceptual abilities between experts and novices in basketball, volleyball and water-polo. Perceptual and Motor Skills, 86(3 Pt 1), 899–912. http://doi.org/10.2466/pms.1998.86.3.899
Kramer, a F., Hahn, S., Cohen, N. J., Banich, M. T., McAuley, E., Harrison, C. R., … Colcombe, a. (1999). Ageing, fitness and neurocognitive function. Nature. http://doi.org/10.1038/22682
Krzanowski, W. J. (1979). Between-groups comparison of principal components. J Amer Stat Assoc, 74(367), 703. http://doi.org/10.2307/2286995
Kumpulainen, S., Avela, J., Gruber, M., Bergmann, J., Voigt, M., Linnamo, V., & Mrachacz-Kersting, N. (2014). Differential modulation of motor cortex plasticity in skill- and endurance-trained athletes. European Journal of Applied Physiology. http://doi.org/10.1007/s00421-014-3092-6
Lee, P. H., Macfarlane, D. J., Lam, T., & Stewart, S. M. (2011). Validity of the international physical activity questionnaire short form (IPAQ-SF): A systematic review. International Journal of Behavioral Nutrition and Physical Activity. http://doi.org/10.1186/1479-5868-8-115
Lees, C., & Hopkins, J. (2013). Effect of aerobic exercise on cognition, academic achievement, and psychosocial function in children: a systematic review of randomized control trials. Preventing Chronic Disease, 10(10), E174. http://doi.org/10.5888/pcd10.130010
Liou, Y. M., Jwo, C. J. C., Yao, K. G., Chiang, L.-C., & Huang, L.-H. (2008). Selection of appropriate Chinese terms to represent intensity and types of physical activity terms for use in the Taiwan version of IPAQ. The Journal of Nursing Research : JNR, 16(4), 252–263. http://doi.org/10.1097/01.JNR.0000387313.20386.0a
Lu, Z.-L., Neuse, J., Madigan, S., & Dosher, B. A. (2005). Fast decay of iconic memory in observers with mild cognitive impairments. Proceedings of the National Academy of Sciences of the United States of America, 102(5), 1797–1802. http://doi.org/10.1073/pnas.0408402102
Luk, G., Anderson, J. A. E., Craik, F. I. M., Grady, C., & Bialystok, E. (2010). Distinct neural correlates for two types of inhibition in bilinguals: Response inhibition versus interference suppression. Brain and Cognition, 74(3), 347–357. http://doi.org/10.1016/j.bandc.2010.09.004
Mann, D. T. Y., Williams, A. M., Ward, P., & Janelle, C. M. (2007). Perceptual-Cognitive Expertise in Sport : A Meta-Analysis, 457–478.
Mori, S., Ohtani, Y., & Imanaka, K. (2002). Reaction times and anticipatory skills of karate athletes. Human Movement Science, 21(2), 213–230. http://doi.org/10.1016/S0167-9457(02)00103-3
Mueller, S. T., & Piper, B. J. (2014a). The Psychology Experiment Building Language (PEBL) and PEBL Test Battery. Journal of Neuroscience Methods, 222, 250–259. http://doi.org/10.1016/j.jneumeth.2013.10.024
Mueller, S. T., & Piper, B. J. (2014b). The Psychology Experiment Building Language (PEBL) and PEBL Test Battery. Journal of Neuroscience Methods, 222, 250–9. http://doi.org/10.1016/j.jneumeth.2013.10.024
Nakamoto, H., Ikudome, S., Yotani, K., Maruyama, A., & Mori, S. (2013). Fast-ball sports experts depend on an inhibitory strategy to reprogram their movement timing. Experimental Brain Research, 228(2), 193–203. http://doi.org/10.1007/s00221-013-3547-8
NAKAMOTO, H., & MORI, S. (2008). SPORT-SPECIFIC DECISION-MAKING IN A GO/NOGO REACTION TASK: DIFFERENCE AMONG NONATHLETES AND BASEBALL AND BASKETBALL PLAYERS 1. Perceptual and Motor Skills, 106(1), 163–170. http://doi.org/10.2466/pms.106.1.163-170
Nakata, H., Yoshie, M., Miura, A., & Kudo, K. (2010). Characteristics of the athletes’ brain: evidence from neurophysiology and neuroimaging. Brain Research Reviews, 62(2), 197–211. http://doi.org/10.1016/j.brainresrev.2009.11.006
Nielsen, J. B., & Cohen, L. G. (2008). The Olympic brain. Does corticospinal plasticity play a role in acquisition of skills required for high-performance sports? The Journal of Physiology, 586(1), 65–70. http://doi.org/10.1113/jphysiol.2007.142661
Notarnicola, A., Maccagnano, G., Pesce, V., Tafuri, S., Novielli, G., & Moretti, B. (2014). Visual- spatial capacity: gender and sport differences in young volleyball and tennis athletes and non-athletes. BMC Research Notes, 7(1), 57. http://doi.org/10.1186/1756-0500-7-57
Overney, L. S., Blanke, O., & Herzog, M. H. (2008). Enhanced temporal but not attentional processing in expert tennis players. PloS One, 3(6), e2380. http://doi.org/10.1371/journal.pone.0002380
Pashler, H., Johnston, J. C., & Ruthruff, E. (2001). Attention and Performance. Annual Review of Psychology, 629–651. http://doi.org/doi:10.1146/annurev.psych.52.1.629
Peirce, J. W. (2007). PsychoPy-Psychophysics software in Python. Journal of Neuroscience Methods, 162(1-2), 8–13. http://doi.org/10.1016/j.jneumeth.2006.11.017
Piras, A., Lobietti, R., & Squatrito, S. (2014). Response time, visual search strategy, and anticipatory skills in volleyball players. Journal of Ophthalmology, 2014, 189268. http://doi.org/10.1155/2014/189268
R Core Team. (2014). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing Vienna Austria.
Rensink, R. A. (2002). Change detection. Annual Review of Psychology, 53, 245–277. http://doi.org/10.1146/annurev.psych.53.100901.135125
Rensink, R. A., O’Regan, J. K., & Clark, J. J. (1996). To see or not to see: The need for attention to perceive changes in scenes. Investigative Ophthalmology and Visual Science, 37(3). http://doi.org/10.1016/j.ejpn.2004.03.003
Roca, A., Ford, P. R., McRobert, A. P., & Williams, a M. (2013). Perceptual-cognitive skills and their interaction as a function of task constraints in soccer. Journal of Sport & Exercise Psychology, 35(2), 144–55. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/23535973
Roca, A., Ford, P. R., McRobert, A. P., & Williams, A. M. (2011). Identifying the processes underpinning anticipation and decision-making in a dynamic time-constrained task. Cognitive Processing, 12(3), 301–310. http://doi.org/10.1007/s10339-011-0392-1
Savelsbergh, G. J. P., Williams, a M., Van der Kamp, J., & Ward, P. (2002). Visual search, anticipation and expertise in soccer goalkeepers. Journal of Sports Sciences, 20(3), 279–287. http://doi.org/10.1080/026404102317284826
Schlaffke, L., Lissek, S., Lenz, M., Brüne, M., Juckel, G., Hinrichs, T., … Schmidt-Wilcke, T. (2014). Sports and brain morphology - a voxel-based morphometry study with endurance athletes and martial artists. Neuroscience, 259, 35–42. http://doi.org/10.1016/j.neuroscience.2013.11.046
Schneider, D. W. (2015). Attentional Control of Response Selection in Task Switching. Journal of Experimental Psychology: Human Perception and Performance, 41(5), 1315–1324. http://doi.org/10.1037/xhp0000091
Shephard, R. J. (2003). Limits to the measurement of habitual physical activity by questionnaires. British Journal of Sports Medicine, 37(3), 197–206; discussion 206. http://doi.org/10.1136/bjsm.37.3.197
Singer, R. N. (2000). Performance and human factors: considerations about cognition and attention for self-paced and externally-paced events. Ergonomics, 43(10), 1661–1680. http://doi.org/10.1080/001401300750004078
Snodgrass, J. G., Townsend, J. T., & Ashby, F. G. (1985). Stochastic Modeling of Elementary Psychological Processes. The American Journal of Psychology, 98(3), 480. http://doi.org/10.2307/1422636
Sperling, G. (1960). The information available in brief visual presentations. Psychological Monographs: General and Applied. http://doi.org/10.1037/h0093759
Starkes, J. L., & Ericsson, K. A. (2003). How the Expert Performance Approach Differs From Traditional Approaches to Expertise in Sport. In Expert Performance in Sports (p. 371).
Stevens, J. (1992). Applied Multivariate Statistics for the Social Sciences. Group.
Swann, C., Moran, A., & Piggott, D. (2014). Defining elite athletes: Issues in the study of expert performance in sport psychology. Psychology of Sport and Exercise. http://doi.org/10.1016/j.psychsport.2014.07.004
Sysoeva, O. V, Wittmann, M., Mierau, A., Polikanova, I., Strüder, H. K., & Tonevitsky, A. (2013). Physical exercise speeds up motor timing. Frontiers in Psychology, 4(September), 612. http://doi.org/10.3389/fpsyg.2013.00612
Taubert, M., Wenzel, U., Draganski, B., & Kiebel, S. J. (2015). Investigating Neuroanatomical Features in Top Athletes at the Single Subject Level, 1–15. http://doi.org/10.1371/journal.pone.0129508
Thorpe, R. S. (1988). Multiple group principal component analysis and opulation differentiation. J. Zool. Lond., 216, 37–40.
Vaeyens, R., Lenoir, M., Philippaerts, R. M., & Williams, A. M. (2007). Making in Skilled Youth Soccer Players: An Analysis of Visual Search Behaviors. Journal of Motor Behavior, 39(5), 395–408. http://doi.org/10.3200/JMBR.39.5.395-408
Verbruggen, F., Logan, G. D., & Stevens, M. a. (2008). STOP-IT: Windows executable software for the stop-signal paradigm. Behavior Research Methods, 40(2), 479–483. http://doi.org/10.3758/BRM.40.2.479
Vestberg, T., Gustafson, R., Maurex, L., Ingvar, M., & Petrovic, P. (2012). Executive functions predict the success of top-soccer players. PLoS ONE, 7(4). http://doi.org/10.1371/journal.pone.0034731
Villringer, A. (2014). Functional and Structural Correlates of Motor Speed in the Cerebellar Anterior Lobe, 9(5), 1–8. http://doi.org/10.1371/journal.pone.0096871
Voelcker-rehage, C., & Niemann, C. (2013). Neuroscience and Biobehavioral Reviews Structural and functional brain changes related to different types of physical activity across the life span. Neuroscience and Biobehavioral Reviews, 37(9), 2268–2295. http://doi.org/10.1016/j.neubiorev.2013.01.028
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, 826(June 2009), 812–826. http://doi.org/10.1002/acp
Voss, M. W., Nagamatsu, L. S., Liu-ambrose, T., & Kramer, A. F. (2011). Exercise , brain , and cognition across the life span, 1505–1513. http://doi.org/10.1152/japplphysiol.00210.2011.
Wang, C.-H., Chang, C.-C., Liang, Y.-M., Shih, C.-M., Chiu, W.-S., Tseng, P., … Juan, C.-H. (2013). Open vs. closed skill sports and the modulation of inhibitory control. PloS One, 8(2), e55773. http://doi.org/10.1371/journal.pone.0055773
Wang, C.-H., Tsai, C.-L., Tu, K.-C., Muggleton, N. G., Juan, C.-H., & Liang, W.-K. (2015). Modulation of brain oscillations during fundamental visuo-spatial processing: A comparison between female collegiate badminton players and sedentary controls. Psychology of Sport and Exercise, 16, 121–129. http://doi.org/10.1016/j.psychsport.2014.10.003
Wang, Z., Wang, S., Guan, Y., Wu, Y., Shen, C., & Zhang, J. (2014). THE EFFECT OF MOTOR IMAGERY WITH SPECIFIC IMPLEMENT IN EXPERT BADMINTON PLAYER, 275, 102–112. http://doi.org/10.1016/j.neuroscience.2014.06.004
Wei, G., Zhang, Y., Jiang, T., & Luo, J. (2011). Increased cortical thickness in sports experts: A comparison of diving players with the controls. PLoS ONE, 6(2). http://doi.org/10.1371/journal.pone.0017112
Wei, G.-X., Xu, T., Fan, F.-M., Dong, H.-M., Jiang, L.-L., Li, H.-J., … Zuo, X.-N. (2013). Can Taichi reshape the brain? A brain morphometry study. PloS One, 8(4), e61038. http://doi.org/10.1371/journal.pone.0061038
Williams, A. M., & Ericsson, K. A. (2005). Perceptual-cognitive expertise in sport: Some considerations when applying the expert performance approach. Human Movement Science, 24(3), 283–307. http://doi.org/10.1016/j.humov.2005.06.002
Wolf, S., Brölz, E., Scholz, D., Ramos-Murguialday, A., Keune, P. M., Hautzinger, M., … Strehl, U. (2014). Winning the game: brain processes in expert, young elite and amateur table tennis players. Frontiers in Behavioral Neuroscience, 8(October), 370. http://doi.org/10.3389/fnbeh.2014.00370
Zhu, D. C., Zacks, R. T., & Slade, J. M. (2011). Older Adults : an fMRI Study, 50(2), 810–817. http://doi.org/10.1016/j.neuroimage.2009.12.087.Brain

指導教授

張智宏(Erik Chihung Chang)

審核日期

2016-5-30

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