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EEG Topographic Mapping of Visual and Kinesthetic Imagery in Swimmers

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Abstract

This study investigated differences in QEEG measures between kinesthetic and visual imagery of a 100-m swim in 36 elite competitive swimmers. Background information and post-trial checks controlled for the modality of imagery, swimming skill level, preferred imagery style, intensity of image and task equality. Measures of EEG relative magnitude in theta, low (7–9 Hz) and high alpha (8–10 Hz), and low and high beta were taken from 19 scalp sites during baseline, visual, and kinesthetic imagery. QEEG magnitudes in the low alpha band during the visual and kinesthetic conditions were attenuated from baseline in low band alpha but no changes were seen in any other bands. Swimmers produced more low alpha EEG magnitude during visual versus kinesthetic imagery. This was interpreted as the swimmers having a greater efficiency at producing visual imagery. Participants who reported a strong intensity versus a weaker feeling of the image (kinesthetic) had less low alpha magnitude, i.e., there was use of more cortical resources, but not for the visual condition. These data suggest that low band (7–9 Hz) alpha distinguishes imagery modalities from baseline, visual imagery requires less cortical resources than kinesthetic imagery, and that intense feelings of swimming requires more brain activity than less intense feelings.

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References

  • Beyer, L., Weiss, T., Hansen, E., Wolf, A., & Seidel, A. (1990). Dynamics of central nervous activation during motor imagination. International Journal of Psychophysiology, 9, 75–80.

    Article  PubMed  Google Scholar 

  • Carrillo-de-la-Pena, M. T., Galdo-Averez, S., & Lastra-Barreira, C. (2008). Equivalent is not equal: Primary motor cortex (MI) activation during motor imagery and execution of sequential movements. Brain Research, 1226, 134–143.

    Article  PubMed  Google Scholar 

  • Cremades, J. (2002). The effects of imagery perspective as a function of skill level on alpha activity. International Journal of Psychophysiology, 43, 261–271.

    Article  Google Scholar 

  • Cremades, J. G., & Pease, D. G. (2007). Concurrent validity and reliability of lower and upper alpha activities as measures of visual and kinesthetic imagery ability. International Journal of Sport and Exercise Psychology, 2, 187–202.

    Article  Google Scholar 

  • Davidson, R. J., & Schwartz, G. S. (1977). Brain mechanisms subserving self-generated imagery: Electrophysiological specificity and patterning. Psychophysiology, 14, 598–602.

    Article  PubMed  Google Scholar 

  • DeBease, C. F. (1989). Electroencephalogram activity during visual external, visual internal and kinesthetic imagery of a motor performance. Unpublished doctoral dissertation, Temple University.

  • Decety, J. (1996). Do imagined and executed actions share the same neural substrate? Cognitive Brain Research, 3, 87–93.

    Article  PubMed  Google Scholar 

  • Deiber, M. P., Ibanez, V., Honda, M., Sadato, N., Raman, R., & Hallett, M. (1998). Cerebral processes related to visuomotor imagery and generation of simple finger movements studied with positron emission tomography. Neuroimage, 7, 73–85.

    Article  PubMed  Google Scholar 

  • Deschaumes-Molinaro, C., Dittmar, A., & Vernet-Maury, W. (1991). Relationship between mental imagery and sporting performance. Behavioral Brain Research, 45, 29–36.

    Article  Google Scholar 

  • Dietrich, A. (2008). Imaging the imagination: The trouble with motor imagery. Methods, 45, 319–324.

    Article  PubMed  Google Scholar 

  • Driskell, J. E., Copper, C., & Moran, A. (1994). Does mental practice enhance performance? Journal of Applied Psychology, 79, 481–492.

    Article  Google Scholar 

  • Electro-Cap International, Inc. 1300 North Barron Street, P.O. Box 87, Eaton, Ohio, 45320.

  • Farah, M., Weisberg, L., Monheit, M., & Peronnet, F. (1990). Brain activity underlying mental imagery: Event-related potentials during mental image generation. Journal of Cognitive Neuroscience, 1, 302–316.

    Article  Google Scholar 

  • Feltz, D., Landers, D., & Becker, B. (1988). A revised meta-analysis of the mental practice literature on motor skill learning. In D. Druckman & J. Swets (Eds.), Enhancing human performance: Issues, theories and techniques (pp. 1–65). Washington, DC: National Academy Press.

    Google Scholar 

  • Greenspan, M. J., & Feltz, D. L. (1989). Psychological interventions with athletes in competitive situations: A review. The Sport Psychologist, 3, 219–236.

    Google Scholar 

  • Guillot, A., & Collet, C. (2005). Duration of mentally simulated movement: A review. Journal of Motor Behavior, 37, 10–20.

    Article  PubMed  Google Scholar 

  • 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  PubMed  Google Scholar 

  • Hall, C., Moore, J., Annett, J., & Rogers, W. (1997). Recalling demonstrated and guided movements using imaginary and verbal rehearsal strategies. Research Quarterly for Exercise and Sport, 68, 136–144.

    Article  PubMed  Google Scholar 

  • Homes, P., & Calmels, C. (2008). A neuroscientific review of imagery and observation use in sport. Journal of Motor Behavior, 40, 433–445.

    Article  Google Scholar 

  • Jackson, P. L., Lafleur, M. F., Malouin, F., Richards, C., & Doyon, J. (2001). Potential role of mental practice using motor imagery in neurologic rehabilitation. Archives of Physical Medicine and Rehabilitation, 82(8), 1133–1141.

    Article  PubMed  Google Scholar 

  • Jacobson, E. (1930). Electrical measurements of neuro-muscular states during mental activities—III: Visual imagination and recollection. American Journal of Physiology, 95, 694–702.

    Google Scholar 

  • Jeannerod, M. (1994). The representing brain: Neural correlates of motor intention and imagery. Behavioral and Brain Sciences, 17, 187–245.

    Article  Google Scholar 

  • Kahneman, D. (2011). Thinking fast and slow. Toronto: Doubleday Canada.

    Google Scholar 

  • Klimesch, W. (1997). EEG-alpha rhythms and memory processes. International Journal of Psychophysiology, 26, 319–340.

    Article  PubMed  Google Scholar 

  • Lexicor Medical Technology Inc. 2585 Central Avenue, Boulder, Co. 80301.

  • Marks, D. F., & Isaac, A. R. (1995). Topographical distribution of EEG activity accompanying visual and motor imagery in vivid and non-vivid imagers. British Journal of Psychology, 86, 271–282.

    Article  PubMed  Google Scholar 

  • Morris, T., Spittle, M., & Watt, A. P. (2005). Imagery in sport. Champaign, IL: Human Kinetics.

    Google Scholar 

  • Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh Inventory. Neuropsychologia, 9, 97–113.

    Article  PubMed  Google Scholar 

  • Olsson, C. J., & Nyberg, L. (2010). Motor imagery: If you can’t do it, you won’t think it. Scandinavian Journal of Medicine and Science in Sports, 20, 711–715.

    Article  PubMed  Google Scholar 

  • Papadelis, C., Kourtidou-Papadeli, C., Bamidis, P., & Albani, M. (2007). Effects of imagery training on cognitive performance and use of physiological measures as an assessment tool of mental effort. Brain and Cognition, 64, 4–85.

    Article  Google Scholar 

  • Petsche, H., Kaplan, S., von Stein, A., & Filz, O. (1997). The possible meaning of the upper and lower alpha frequency ranges for cognitive and creative tasks. International Journal of Psychophysiology, 26, 77–97.

    Article  PubMed  Google Scholar 

  • Salazar, W., Landers, D., Petruzzello, S., Crews, D., Kubitz, K., & Han, M. (1990). Hemispheric asymmetry, cardiac response, and performance in elite archers. Research Quarterly for Exercise and Sport, 61, 351–359.

    Article  PubMed  Google Scholar 

  • Schuster, C., Hilfiker, R., Amft, O., Scheidhauer, A., Andrews, B., Butler, J., et al. (2011). Best practice for motor imagery: A systematic literature review on motor imagery training elements in five different disciplines. BMC Medicine, 9, 75. doi:10.1186/1741-7015-9-75.

    Article  PubMed Central  PubMed  Google Scholar 

  • Vernet-Maury, E., Robin, O., & Dittmar, A. (1995). The ohmic perturbation duration, an original temporal index to quantify electrodermal responses. Behavior Brain Research, 67, 103–107.

    Article  Google Scholar 

  • Weiss, T., Beyer, L., & Hansen, E. (1991). Motor imagination-a model for motor performance? International Journal of Psychophysiology, 11, 203–205.

    Article  PubMed  Google Scholar 

  • White, A., & Hardy, L. (1995). Use of different imagery perspectives on the learning and performance of different motor skills. British Journal of Psychology, 86, 169–188.

    Article  PubMed  Google Scholar 

  • Williams, J. M., & Krane, V. (2014). Applied sport psychlogy. New York: McGraw Hill.

    Google Scholar 

  • Williams, J. D., Rippon, G., Stone, B. M., & Arnett, J. (1995). Psychophysiological correlates of dynamic imagery. British Journal of Psychology, 86, 283–300.

    Article  PubMed  Google Scholar 

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Acknowledgments

The authors wish to thank York University for research grants that supported this project.

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Correspondence to V. E. Wilson.

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Wilson, V.E., Dikman, Z., Bird, E.I. et al. EEG Topographic Mapping of Visual and Kinesthetic Imagery in Swimmers. Appl Psychophysiol Biofeedback 41, 121–127 (2016). https://doi.org/10.1007/s10484-015-9307-8

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