Abstract
We examined changes in brain rhythms in relation to optimal performance in self-paced sports. Eight studies met the inclusion/exclusion criteria, representing 153 participants and eight different sports. We found that (a) optimal performance is characterised by increased alpha (g = .62, p = .02) and theta (g = .74, p = .002) across the cortex; (b) during optimal performance the frontal lobe is more relaxed (higher alpha; g = 1.06, p = .18) and less busy (lower theta; g = .38, p = .08), in comparison to the other brain lobes; (c) for the same given task, experts’ brains are more relaxed (higher alpha, g = .89, p = .34) and less busy (lower theta, g = .91, p = .54) than novices’ brains. Theoretically, our findings suggest that neural efficiency, neural proficiency, and transient hypofrontality are likely complementary neural mechanisms that underpin optimal performance. In practice, neurofeedback training should teach athletes how to amplify and suppress their alpha and theta activity across the brain during all movement stages.
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References
Appelbaum M, Cooper H, Kline RB, Mayo-Wilson E, Nezu AM, Rao SM (2018) Journal article reporting standards for quantitative research in psychology: the APA publications and communications board task force report. Am Psychol 73(1):3–25. https://doi.org/10.1037/amp0000191
Baumeister J, Reinecke K, Liesen H, Weiss M (2008) Cortical activity of skilled performance in a complex sports related motor task. Eur J Appl Physiol 104(4):625–631
Bazanova OM, Vernon D (2014) Interpreting EEG alpha activity. Neurosci Biobehav Rev 44:94–110. https://doi.org/10.1016/j.neubiorev.2013.05.007
Bertollo M, di Fronso S, Conforto S, Schmid M, Bortoli L, Comani S, Robazza C (2016) Proficient brain for optimal performance: the MAP model perspective. PeerJ 4:1–26. https://doi.org/10.7717/peerj.2082
Bertollo M, Doppelmayr M, Robazza C (2020) Using brain technologies in practice. In: Tenenbaum G, Eklund RC (eds) Handbook of sport psychology. John Wiley & Sons, Hoboken, NJ, pp 666–693
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR (2011) Introduction to meta-analysis. John Wiley & Sons, West Susex, UK
Bortoli L, Bertollo M, Hanin Y, Robazza C (2012) Striving for excellence: a multi-action plan intervention model for shooters. Psychol Sport Exerc 13(5):693–701. https://doi.org/10.1016/j.psychsport.2012.04.006
Cacioppo JT, Tassinary LG, Berntson GG (2007) Psychophysiological science: Interdisciplinary approaches to classic questions about the mind. In: Cacioppo JT, Tassinary LG, Berntson G (eds) Handbook of psychophysiology, 3rd edn. Cambridge University Press, New York, NY, pp 1–24
Chuang LY, Huang CJ, Hung TM (2013) The differences in frontal midline theta power between successful and unsuccessful basketball free throws of elite basketball players. Int J Psychophysiol 90(3):321–328
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. Biol Psychol 110:212–218. https://doi.org/10.1016/j.biopsycho.2015.08.003
Cheron G, Petit G, Cheron J, Leroy A, Cebolla A, Cevallos C, Clarinval A-M (2016) Brain oscillations in sport: toward EEG biomarkers of performance. Front Psychol 7:246. https://doi.org/10.3389/fpsyg.2016.00246
Christie S, di Fronso S, Bertollo M, Werthner P (2017) Individual alpha peak frequency in ice hockey shooting performance. Front Psychol 8:762
Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum Associates, Mahwah, NJ
Coolidge FL, Wynn T (2001) Executive functions of the frontal lobes and the evolutionary ascendancy of Homo sapiens. Camb Archaeol J 11(2):255–260. https://doi.org/10.1017/S0959774301000142
Crews DJ, Landers D (1993) Electroencephalographic measures of attentional patterns prior to the golf putt. Med Sci Sports Exerc 25:116–126
Csikszentmihalyi M, Jackson SA (1999) Flow in sports: the keys to optimal experiences and performance. Human Kinetics, Champaign, IL
Del Percio C, Rossini PM, Marzano N, Iacoboni M, Infarinato F, Aschieri P, Babiloni C (2008) Is there a “neural efficiency” in athletes? A high-resolut EEG study Neuroimage 42(4):1544–1553. https://doi.org/10.1016/j.neuroimage.2008.05.061
Di Fronso S, Robazza C, Filho E, Bortoli L, Comani S, Bertollo M (2016) Neural markers of performance states in an Olympic athlete: an EEG case study in air-pistol shooting. J Sports Sci Mede 15(2):214–222
Dietrich A (2003) Functional neuroanatomy of altered states of consciousness: the transient hypofrontality hypothesis. Conscious Cogn 12(2):231–256. https://doi.org/10.1016/S1053-8100(02)00046-6
Dietrich A (2006) Transient hypofrontality as a mechanism for the psychological effects of exercise. Psychiatry Res 145(1):79–83. https://doi.org/10.1016/j.psychres.2005.07.033
Dunst B, Benedek M, Jauk E, Bergner S, Koschutnig K, Sommer M, Bühner M (2014) Neural efficiency as a function of task demands. Intelligence 42:22–30. https://doi.org/10.1016/j.intell.2013.09.005
Ericsson KA (2007) Deliberate practice and the modifiability of body and mind: toward a science of the structure and acquisition of expert and elite performance. Int J Sport Psychol 38:4–34
Ericsson KA (2020) Towards a science of the acquisition of expert performance in sports: Clarifying the differences between deliberate practice and other types of practice. J Sports Sci 38(2):159–176. https://doi.org/10.1080/02640414.2019.1688618
Farrow D, Baker J (2018) Barriers and facilitators in theory and practice. In: Baker J, Farrow D (eds) Routledge handbook of sport expertise. Routledge, New York, NY, pp 439–444
Filho E, Tenebaum G (2015) Sports psychology. Oxford University Press, Oxford, UK
Filho E, Tenenbaum G (2020) Methodological approaches in cognitive sport psychology. In: MacMahon C, Raab M (eds) The routledge international encyclopedia of sport and exercise psychology. Routledge
Gavaghan DJ, Moore RA, McQuay HJ (2000) An evaluation of homogeneity tests in meta-analyses in pain using simulations of individual patient data. Pain 85(3):415–424. https://doi.org/10.1016/s0304-3959(99)00302-4
Grabner RH, Neubauer AC, Stern E (2006) Superior performance and neural efficiency: the impact of intelligence and expertise. Brain Res Bull 69(4):422–439. https://doi.org/10.1016/j.brainresbull.2006.02.009
Haier RJ, Siegel BV Jr, Nuechterlein KH, Hazlett E, Wu JC, Paek J, Buchsbaum MS (1988) Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography. Intelligence 12(2):199–217. https://doi.org/10.1016/0160-2896(88)90016-5
Hanin YL (2000) Successful and poor performance and emotions. Human Kinetics, Champaign, IL
Hatfield BD (2018) Brain dynamics and motor behavior: a case for efficiency and refinement for superior performance. Kinesiol Rev 7(1):42–50.
Hatfield BD, Jaquess KJ, Lo LC, Oh H (2020) The cognitive and affective neuroscience of superior athletic performance. In: Tenenbaum G, Eklund RC (eds) Handbook of sport psychology. John Wiley & Sons, Hoboken, NJ, pp 487–512
Hedges LV (1981) Distribution theory for Glass’s estimator of effect size and related estimators. J Educational Statistics 6(2):107–128. https://doi.org/10.2307/1164588
Hedges LV (1989) A practical guide to modern methods of meta-analysis. National Science Teachers Association, Washington, DC
Hedges LV, Olkin I (1985) Statistical methods for meta-analysis. Academic Press, Orlando, FL
Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21(11):1539–1558. https://doi.org/10.1002/sim.1186
Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327(7414):557–560. https://doi.org/10.1136/bmj.327.7414.557
Holmes PS, Wright DJ (2017) Motor cognition and neuroscience in sport psychology. Curr Opin Psychol 16:43–47. https://doi.org/10.1016/j.copsyc.2017.03.009
Huang X, Lin J, Demner-Fushman D (2006) Evaluation of PICO as a knowledge representation for clinical questions. AMIA Annual Symposium Proceedings, vol 2006. American Medical Informatics Association, p 359
Huedo-Medina TB, Sánchez-Meca J, Marín-Martínez F, Botella J (2006) Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Psychol Methods 11(2):193–206. https://doi.org/10.1037/1082-989X.11.2.193
Hunt CA, Rietschel JC, Hatfield BD, Iso-Ahola SE (2013) A psychophysiological profile of winners and losers in sport competition. Sport Exerc Perform Psychol 2(3):220
Katahira K, Yamazaki Y, Yamaoka C, Ozaki H, Nakagawa S, Nagata N (2018) EEG correlates of the flow state: a combination of increased frontal theta and moderate frontocentral alpha rhythm in the mental arithmetic task. Front Psychol 9:300. https://doi.org/10.3389/fpsyg.2018.00300
Ladouce S, Donaldson DI, Dudchenko PA, Ietswaart M (2017) Understanding minds in real-world environments: toward a mobile cognition approach. Front Hum Neurosci 10:694
Lipsey MW, Wilson DB (2001) The way in which intervention studies have “personality” and why it is important to meta-analysis. Eval Health Prof 24(3):236–254. https://doi.org/10.1177/016327870102400302
Loze GM, Collins D, Holmes PS (2001) Pre-shot EEG alpha-power reactivity during expert air-pistol shooting: a comparison of best and worst shots. J Sport Sci 19(9):727–733
Masters R, Maxwell J (2008) The theory of reinvestment. International Review of Sport and Exercise Psychology 1(2):160–183. https://doi.org/10.1080/17509840802287218
Moher D, Liberati A, Tetzlaff J, Altman DG, Altman D, Antes G, Berlin JA (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (Chinese edition). J Chin Integr Med 7(9):889–896
Neubauer AC, Fink A (2009) Intelligence and neural efficiency. Neurosci Biobehav Rev 33(7):1004–1023. https://doi.org/10.1016/j.neubiorev.2009.04.001
Pacheco NC (2016) Neurofeedback for peak performance training. J Mental Health Counsel 38(2):116–123. https://doi.org/10.17744/mehc.38.2.03
Pageaux B, Lepers R (2018) The effects of mental fatigue on sport-related performance. Prog in Brain Res 240:291–315
Robazza C, Bertollo M, Filho E, Hanin Y, Bortoli L (2016) Perceived control and hedonic tone dynamics during performance in elite shooters. Res Q Exerc Sport 87(3):284–294
Ruiz MC, Raglin JS, Hanin YL (2017) The individual zones of optimal functioning (IZOF) model (1978–2014): historical overview of its development and use. Int J Sport Exerc Psychol 15(1):41–63. https://doi.org/10.1080/1612197X.2015.1041545
Salazar W, Landers DM, Petruzzello SJ, Han M, Crews DJ, Kubitz KA (1990) Hemispheric asymmetry, cardiac response, and performance in elite archers. Res Q Exerc Sport 61(4):351–359. https://doi.org/10.1080/02701367.1990.10607499
Strack B, Linden M, Wilson VS (eds) (2011) Biofeedback and neurofeedback applications in sport psychology. Association for Applied Psychophysiology and Biofeedback
Tenenbaum G, Basevitch I, Gershgoren L, Filho E (2013) Emotions–decision-making in sport: theoretical conceptualization and experimental evidence. Int J Sport Exerc Psychol 11(2):151–168. https://doi.org/10.1080/1612197X.2013.773687
Vickers JN, Williams AM (2017) The role of mental processes in elite sports performance. Oxford Research Encyclopedia of Psychology
Wang J, Chen S (2014) Applied motor learning in physical education and sports. FiT Publishing, Morgantown, WV
Williams J, Krane V (2020) Applied sport psychology: personal growth to peak performance, 4th edn. Mcgraw-Hill Education, New York
Xiang M-Q, Hou X-H, Liao B-G, Liao J-W, Hu M (2018) The effect of neurofeedback training for sport performance in athletes: a meta-analysis. Psychol Sport Exerc 36:114–122. https://doi.org/10.1016/j.psychsport.2018.02.004
Yarrow K, Brown P, Krakauer JW (2009) Inside the brain of an elite athlete: the neural processes that support high achievement in sports. Nat Rev Neurosci 10(8):585–596. https://doi.org/10.1038/nrn2672
Zach S, Dobersek U, Filho E, Inglis V, Tenenbaum G (2018) A meta-analysis of mental imagery effects on post-injury functional mobility, perceived pain, and self-efficacy. Psychol Sport Exerc 34:79–87
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Filho, E., Dobersek, U. & Husselman, TA. The role of neural efficiency, transient hypofrontality and neural proficiency in optimal performance in self-paced sports: a meta-analytic review. Exp Brain Res 239, 1381–1393 (2021). https://doi.org/10.1007/s00221-021-06078-9
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DOI: https://doi.org/10.1007/s00221-021-06078-9