Skip to main content

Advertisement

Log in

The neural basis of kinesthetic and visual imagery in sports: an ALE meta − analysis

  • REVIEW ARTICLE
  • Published:
Brain Imaging and Behavior Aims and scope Submit manuscript

Abstract

Imagery is a widely spread technique in the sport sciences that entails the mental rehearsal of a given situation to improve an athlete’s learning, performance and motivation. Two modalities of imagery are reported to tap into distinct brain structures, but sharing common components: kinesthetic and visual imagery. This study aimed to investigate the neural basis of those types of imagery with Activation Likelihood Estimation algorithm to perform a meta − analysis. A systematic search was used to retrieve only experimental studies with athletes or sportspersons. Altogether, nine studies were selected and an ALE meta − analysis was performed. Results indicated significant activation of the premotor, somatosensory cortex, supplementary motor areas, inferior and superior parietal lobule, caudate, cingulate and cerebellum in both imagery tasks. It was concluded that visual and kinesthetic imagery share similar neural networks which suggests that combined interventions are beneficial to athletes whereas separate use of those two modalities of imagery may seem less efficient from a neuropsychological approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Abreu, A. M., Macaluso, E., Azevedo, R. T., Cesari, P., Urgesi, C., & Aglioti, S. M. (2012). Action anticipation beyond the action observation network: a functional magnetic resonance imaging study in expert basketball players. The European Journal of Neuroscience, 35, 1646–1654.

    Article  CAS  Google Scholar 

  • Babiloni, C., Marzano, N., Infarinato, F., Iacoboni, M., Rizza, G., Aschieri, P., Cibelli, G., Soricelli, A., Eusebi, F., & 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. http://linkinghub.elsevier.com/retrieve/pii/S0166432809006573.

  • Balser, N., Lorey, B., Pilgramm, S., Stark, R., Bischoff, M., Zentgraf, K., Williams, A. M., & Munzert, J. (2014). Prediction of human actions: Expertise and task – related effects on neural activation of the action observation network. Human Brain Mapping, 35, 4016–4034.

    Article  Google Scholar 

  • Beilock, S. L., Lyons, I. M., Mattarella-Micke, A., Nusbaum, H. C., & Small, S. L. (2008): Sports experience changes the neural processing of action language. Proceedings of the National Academy of Science of the United State of America 105:13269–13273.http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2527992&tool=pmcentrez&rendertype=abstract.

  • Bostan, A. C., Dum, R. P., & Strick, P. L. (2013). Cerebellar networks with the cerebral cortex and basal ganglia. Trends Cognitive Science, 17, 241–254.

    Article  Google Scholar 

  • Callow, N., Jiang, D., Roberts, R., & Edwards, M. G. (2016): Kinesthetic Imagery Provides Additive Benefits to Internal Visual Imagery on Slalom Task Performance. Journal of Sport & Exercise Psychology:1–18. http://journals.humankinetics.com/doi/10.1123/jsep.2016-0168.

  • Callow, N., Roberts, R., Hardy, L., Jiang, D., & Edwards, M. G. (2013): Performance improvements from imagery: evidence that internal visual imagery is superior to external visual imagery for slalom performance. Frontiers in Human Neuroscience 7. http://journal.frontiersin.org/article/10.3389/fnhum.2013.00697/abstract.

  • Cavanna, A. E., & Trimble, M. R. (2006): The precuneus: a review of its functional anatomy and behavioural correlates. Brain 129:564–583. http://www.ncbi.nlm.nih.gov/pubmed/16399806.

  • Cumming, J., Nordin – Bates, S. M., Horton, R., & Reynolds, S. (2006). Applied Research Examining the Direction of Imagery and Self – Talk on Dart – Throwing Performance and Self – Efficacy. Sport Psychology, 20, 257–274.

    Article  Google Scholar 

  • Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., Albert, M. S., & Killiany, R. J. (2006): An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:968–980. http://www.ncbi.nlm.nih.gov/pubmed/16530430.

  • Eickhoff, S. B., Bzdok, D., Laird, A. R., Kurth, F., & Fox, P. T. (2012): Activation likelihood estimation meta – analysis revisited. Neuroimage 59:2349–2361. http://www.ncbi.nlm.nih.gov/pubmed/21963913.

  • Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009): Coordinate – based activation likelihood estimation meta – analysis of neuroimaging data: a random – effects approach based on empirical estimates of spatial uncertainty. Human Brain Mapping 30:2907–2926. http://www.ncbi.nlm.nih.gov/pubmed/19172646.

  • Filgueiras, A. (2016). Imagery for the Improvement of Serving in Beach Volleyball: A Single Case Study. Revista Brasileira de Psicologica do Esporte, 6, 57–76.

    Google Scholar 

  • Gallivan, J. P., Johnsrude, I. S., & Flanagan, J. R. (2015): Planning Ahead: Object – Directed Sequential Actions Decoded from Human Frontoparietal and Occipitotemporal Networks. Cerebral Cortex:bhu302.

  • Gregg, M., Hall, C., McGowan, E., & Hall, N. (2011): The Relationship between Imagery Ability and Imagery Use among Athletes. Journal Applied Sport Psychology 23:129–141. http://www.tandfonline.com/doi/abs/10.1080/10413200.2010.544279.

  • Gregg, M. J., O, J., & Hall, C. R. (2016): Examining the relationship between athletes’ achievement goal orientation and ability to employ imagery. Psychology of Sport and Exercise 24:140–146. http://linkinghub.elsevier.com/retrieve/pii/S1469029216300061.

  • Guillot, A., Collet, C., Nguyen, V. A., Malouin, F., Richards, C., & Doyon, J. (2009). Brain activity during visual versus kinesthetic imagery: An fMRI study. Human Brain Mapping, 30, 2157–2172.

    Article  Google Scholar 

  • Hall, C. R., Rodgers, W. M., & Barr, K. A. (1990). The Use of Imagery by Athletes in Selected Sports. Sport Psychology, 4, 1–10.

    Article  Google Scholar 

  • Holmes, P., & Collins, D. (2001): The PETTLEP Approach to Motor Imagery: A Functional Equivalence Model for Sport Psychologists. Journal Applied Sport Psychology 13:60–83. http://www.tandfonline.com/doi/abs/10.1080/10413200109339004.

  • Holmes, P., Collins, D., & Calmels, C. (2006). Electroencephalographic functional equivalence during observation of action. Journal Sports Science, 24, 605–616.

    Article  Google Scholar 

  • Jiang, D., Edwards, M. G., Mullins, P., & Callow, N. (2015): The neural substrates for the different modalities of movement imagery. Brain and Cognition 97:22–31. http://linkinghub.elsevier.com/retrieve/pii/S0278262615000391.

  • Johnston, J. E. (1971): The effects of imagery on learning the volleyball pass.; Temple University.

  • Kizildag, E., & Tiryaki, M. S. (2012): Imagery use of athletes in individual and team sports that require open and closed skill. Perceptual and Motor Skills 114:748–756. http://www.ncbi.nlm.nih.gov/pubmed/22913017.

  • Kornhuber, H. H. (1978): Cortex, basal ganglia and cerebellum in motor control. Electroencephalography Clinical Neurophysiology Supplement:449–455.

  • Lancaster, J. L., Cykowski, M. D., McKay, D. R., Kochunov, P. V., Fox, P. T., Rogers, W., Toga, A. W., Zilles, K., Amunts, K., & Mazziotta, J. (2010): Anatomical global spatial normalization. Neuroinformatics 8:171–82. http://www.ncbi.nlm.nih.gov/pubmed/20582489.

  • Lancaster, J. L., Laird, A. R., Eickhoff, S. B., Martinez, M. J., Fox, P. M., & Fox, P. T. (2012): Automated regional behavioral analysis for human brain images. Front Neuroinformatics 6:23. http://www.ncbi.nlm.nih.gov/pubmed/22973224.

  • Litvan, I., Lee, R. R., Reed, J. D., Song, D. D., Harrington, D. L., & Castillo, G. N. (2014): Dissociation of Neural Mechanisms for Intersensory Timing Deficits in Parkinson’s Disease. Timing Time Perceptives 2:145–168. http://booksandjournals.brillonline.com/content/journals/10.1163/22134468-00002025.

  • Lorey, B., Naumann, T., Pilgramm, S., Petermann, C., Bischoff, M., Zentgraf, K., Stark, R., Vaitl, D., & Munzert, J. (2014). Neural simulation of actions: Effector – versus action – specific motor maps within the human premotor and posterior parietal area? Human Brain Mapping, 35, 1212–1225.

    Article  Google Scholar 

  • Malouin, F., Richards, C. L., Jackson, P. L., Lafleur, M. F., Durand, A., & Doyon, J. J. J. (2007): The Kinesthetic and Visual Imagery Questionnaire (KVIQ) for assessing motor imagery in persons with physical disabilities: a reliability and construct validity study. Journal of Neurologic Physical Therapy 31:20–29. http://www.ncbi.nlm.nih.gov/pubmed/17419886.

  • Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., Holmes, C., Collins, L., Thompson, P., MacDonald, D., Iacoboni, M., Schormann, T., Amunts, K., Palomero – Gallagher, N., Geyer, S., Parsons, L., Narr, K., Kabani, N., Goualher, G. L., Boomsma, D., Cannon, T., Kawashima, R., & Mazoyer, B. (2001): A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philosophical Transactions of the Royal Society B Biology Science 356:1293–1322. http://rstb.royalsocietypublishing.org/cgi/doi/10.1098/rstb.2001.0915.

  • Mizuguchi, N., Nakamura, M., & Kanosue, K. (2017): Task – dependent engagements of the primary visual cortex during kinesthetic and visual motor imagery. Neurosci Lett 636:108–112. http://linkinghub.elsevier.com/retrieve/pii/S0304394016308382.

  • Mizuguchi, N., Nakata, H., & Kanosue, K. (2016): Motor imagery beyond the motor repertoire: Activity in the primary visual cortex during kinesthetic motor imagery of difficult whole body movements. Neuroscience 315:104–113. http://linkinghub.elsevier.com/retrieve/pii/S0306452215010969.

  • Mizuguchi, N., Nakata, H., Uchida, Y., & Kanosue, K. (2012): Motor imagery and sport performance. Journal of Physical Fitness and Sport Medine 1:103–111. http://jlc.jst.go.jp/DN/JST.JSTAGE/jpfsm/1.103?lang=en&from=CrossRef&type=abstract.

  • Paivio, A. (1985). Cognitive and motivational functions of imagery in human performance. Canadian Journal of Applied Sport Sciences, 10, 22S–28S.

    CAS  Google Scholar 

  • Picazio, S., Ponzo, V., & Koch, G. (2016): Cerebellar Control on Prefrontal – Motor Connectivity During Movement Inhibition. The Cerebellum 15:680–687. http://link.springer.com/10.1007/s12311-015-0731-3.

  • Porro, C., Francescato, M. P., Cettolo, V., Diamond, M. E., Baraldi, P., Zuiani, C., Bazzocchi, M., & di Prampero, P. E. (1996). Primary motor and sensory cortex activation during motor performance and motor imagery: a functional magnetic resonance imaging study. Journal Neuroscience, 16, 7688–7698.

    Article  CAS  Google Scholar 

  • Ridderinkhof, K. R., & Brass, M. (2015): How Kinesthetic Motor Imagery works: A predictive – processing theory of visualization in sports and motor expertise. Journal Physiology 109:53–63. http://linkinghub.elsevier.com/retrieve/pii/S0928425715000066.

  • Sackett, R. S. (1934): The Influence of Symbolic Rehearsal upon the Retention of a Maze Habit. Journal of General Psychology 10:376–398. http://www.tandfonline.com/doi/abs/10.1080/00221309.1934.9917742.

  • Seiler, B. D., Monsma, E. V., & Newman – Norlund, R. D. (2015): Biological Evidence of Imagery Abilities: Intraindividual Differences. J Sport Exerc Psychol 37:421–435. http://journals.humankinetics.com/doi/10.1123/jsep.2014-0303.

  • Singh – Curry, V., & Husain, M. (2009). The functional role of the inferior parietal lobe in the dorsal and ventral stream dichotomy. Neuropsychologia, 47, 1434–1448.

    Article  Google Scholar 

  • Stecklow, M. V., Infantosi, A. F. C., & Cagy, M. (2007): Alterações na banda alfa do eletrencefalograma durante imagética motora visual e cinestésica. Arquivos de Neuro-Psiquiatria 65:1084–1088. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2007000600034&lng=pt&nrm=iso&tlng=pt.

  • Turkeltaub, P. E., Eickhoff, S. B., Laird, A. R., Fox, M., Wiener, M., & Fox, P. (2012): Minimizing within – experiment and within – group effects in Activation Likelihood Estimation meta – analyses. Human Brain Mapping 33:1–13. http://www.ncbi.nlm.nih.gov/pubmed/21305667.

  • Wakefield, C., Smith, D., Moran, A. P., & Holmes, P. (2013): Functional equivalence or behavioural matching? A critical reflection on 15 years of research using the PETTLEP model of motor imagery. International Review of Sport and Exercise Psychology 6:105–121. http://www.tandfonline.com/doi/abs/10.1080/1750984X.2012.724437.

  • Wei, G., & Luo, J. (2010). Sport expert’s motor imagery: Functional imaging of professional motor skills and simple motor skills. Brain Research, 1341, 52–62. https://doi.org/10.1016/j.brainres.2009.08.014.

    Article  CAS  PubMed  Google Scholar 

  • Wilson, V. E., Dikman, Z., Bird, E. I., Williams, J. M., Harmison, R., Shaw – Thornton, L., & Schwartz, G. E. (2016): EEG Topographic Mapping of Visual and Kinesthetic Imagery in Swimmers. Applied Psychophysiology and Biofeedback 41:121–127. http://link.springer.com/10.1007/s10484-015-9307-8.

  • Wriessnegger, S. C., Steyrl, D., Koschutnig, K., & Müller – Putz, G. R. (2014): Short time sports exercise boosts motor imagery patterns: implications of mental practice in rehabilitation programs. Frontier Human Neuroscience 8:469. http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00469/abstract.

  • Wright, D. J., McCormick, S. A., Birks, S., Loporto, M., & Holmes, P. S. (2015): Action Observation and Imagery Training Improve the Ease With Which Athletes Can Generate Imagery. Jounal of Applied Sport Psychology 27:156–170. http://www.tandfonline.com/doi/abs/10.1080/10413200.2014.968294.

  • Wright, M. J., Bishop, D. T., Jackson, R. C., & Abernethy, B. (2011): Cortical fMRI activation to opponents’ body kinematics in sport – related anticipation: Expert – novice differences with normal and point – light video. Neuroscience Letters 500:216–221. https://doi.org/10.1016/j.neulet.2011.06.045.

  • Wu, Y., Zeng, Y., Zhang, L., Wang, S., Wang, D., Tan, X., Zhu, X., Zhang, J., & Zhang, J. (2013). The role of visual perception in action anticipation in basketball athletes. Neuroscience, 237, 29–41.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alberto Filgueiras.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Filgueiras, A., Quintas Conde, E.F. & Hall, C.R. The neural basis of kinesthetic and visual imagery in sports: an ALE meta − analysis. Brain Imaging and Behavior 12, 1513–1523 (2018). https://doi.org/10.1007/s11682-017-9813-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11682-017-9813-9

Keywords

Navigation