Skip to main content
Log in

Influence of Physical Loads on Cognitive Functions and Bioelectric Activity of the Brain in Athletes of Various Specializations

  • Published:
Human Physiology Aims and scope Submit manuscript

Abstract

Methods of psychophysiological testing and electroencephalography were used to study the effect of physical activity on cognitive functions (in particular, in the decision-making ability test) and brain bioelectrical activity (in particular, the power of the EEG amplitude in the beta and delta ranges) in athletes of various specializations. It is shown that when performing psychological tests before the load, athletes involved in cyclic types of load demonstrate better results than weightlifters, they have a higher learning rate, a higher percentage of correct answers, a shorter response time, and a faster attention switching speed. The results of psychological tests before exercise in the control group were lower than in athletes, but higher than in weightlifters. The single-time physical load of a cyclic nature did not affect the results of the Iowa Gambling Task in untrained volunteers and weightlifters but contributed to the improvement of test results in athletes training in cyclic sports; the learning rate and the percentage of correct answers increased. When performing a cognitive test, athletes noted an increase in the power of the spectra of the delta (and in weightlifters—theta) range to a greater extent than in the control. In contrast to the control group, physical activity in athletes more often contributes to a decrease in the power of the EEG spectra, especially in the beta and delta ranges. The revealed differences in the results of psychophysiological tests in athletes of various specializations and untrained volunteers are largely determined by the features of the functional activity of various parts of the cortex, which is reflected in the characteristics of patterns of brain bioelectrical activity.

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

  1. Ovchinnikova, N.A. and Kapilevich, L.V., Aerobic loads to develop cognitive abilities in adolescence, Teor. Prakt. Fiz. Kul’t., 2020, no. 11, p. 50.

  2. Perrey, S. and Besson, P., Studying brain activity in sports performance: Contributions and issues, Progr. Brain Res., 2018, vol. 240, p. 247.

    Article  Google Scholar 

  3. Gultyaeva, V.V., Zinchenko, M.I., Uryumtsev, D.Y., et al., Exercise for depression treatment: I. Physiological mechanisms, Zh. Nevrol. Psikhiatr. im. S. S. Korsakova, 2019, vol. 119, no. 7, p. 112. https://doi.org/10.17116/jnevro2019119071112

    Article  CAS  PubMed  Google Scholar 

  4. Golovin, M.S., Balioz, N.V., Krivoshchekov, S.G., and Aizman, R.I., Change of EEG of students engaged in sports, after a single and prolonged low-frequency audiovisual stimulation, Vestn. Novosibirsk. Gos. Pedagog. Univ., 2016, vol. 6, no. 1, p. 131.

  5. Cherapkina, L.P. and Tristan, V.G., Bioelectrical activity of the brain of athletes, Vestn. Yuzhn. Ural. Gos. Univ.: Obraz., Zdravookhr., Fiz. Kul’t., 2011, no. 39, p. 27.

  6. Del Percio, C., Infarinato, F., Marzano, N., et al., Reactivity of alpha rhythms to eyes opening is lower in athletes then non- athletes: A high-resolution EEG study, Int. J. Psychophysiol., 2011, vol. 82, no. 3, p. 240.

    Article  PubMed  Google Scholar 

  7. Antipova, O.S. and Kharitonova, L.G., Psychophysiological characteristics of athletes engaged in cyclic and acyclic sports, Fizkul’t. Obraz. Sib., 2014, no. 1 (31), p. 73.

  8. Michelle, W., Weng, T.B., Burzynska, A.Z., et al., Fitness, but not physical activity, is related to functional integrity of brain networks associated with aging, NeuroImage, 2016, vol. 131, p. 113.

    Article  Google Scholar 

  9. Ruscheweyh, R., Willemer, C., Krüger, K., et al., Physical activity and memory functions: An interventional study, Neurobiol. Aging, 2011, vol. 32, no. 7, p. 1304.

    Article  CAS  PubMed  Google Scholar 

  10. Crick, F. and Koch, C., Are we aware of neural activity in primary visual cortex? Nature, 1995, vol. 375, no. 6527, p. 121.

    Article  CAS  PubMed  Google Scholar 

  11. Ovchinnikova, N.A., Yuzanin, E.F., Medvedeva, E.V., and Kapilevich, L.V., Bioelectrical activity of the brain in athletes under cognitive and physical load, Chel. Sport. Med., 2021, vol. 21, no. 3, p. 64.

    Google Scholar 

  12. Kabachkova, A.V., Fomchenko, V.V., and Frolova, Yu.S., Motor activity of young students, Vestn. Tomsk. Gos. Univ., 2015, no. 392, p. 175.

  13. Furley, P. and Wood, G., Working memory, attentional control, and expertise in sports: A review of current literature and directions for future research, J. Appl. Res. Memory Cognit., 2016, vol. 5, p. 415.

    Article  Google Scholar 

  14. Wang, C.H., Moreau, D., and Kao, S.C., From the lab to the field: Potential applications of dry EEG systems to understand the brain—behavior relationship in sports, Front. Neurosci., 2019, vol. 13, p. 893.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Illarionova, A.V. and Kapilevich, L.V., Characteristics of brain bioelectrical activity during feedback training, Chel. Sport. Med., 2019, vol. 19, no. S1, p. 7.

    Google Scholar 

  16. Blazhenetsa, G., Kurz, A., Frings, L., et al., Brain activation patterns during visuomotor adaptation in motor experts and novices: An FDG PET study with unrestricted movements, J. Neurosci. Methods, 2021, vol. 350, p. 109061.

    Article  Google Scholar 

  17. Cheron, G., Petit, G., Cheron, J., et al., Brain oscillations in sport: Toward EEG biomarkers of performance, Front. Psychol., 2016, vol. 7, p. 246.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kapilevich, L.V., Yezhova, G.S., Zakharova, A.N., et al., Brain bioelectrical activity and cerebral hemodynamics in athletes under combined cognitive and physical loading, Hum. Physiol., 2019, vol. 45, no. 2, p. 164. https://doi.org/10.1134/S0362119719010080

    Article  Google Scholar 

  19. Kabachkova, A.V., Lalaeva, G.S., Zakharova, A.N., and Kapilevich, L.V., Psycho-physiological and cognitive abilities rating versus individual motor activity levels, Teor. Prakt. Fiz. Kul’t., 2016, no. 12, p. 85.

  20. Lalaeva, G.S., Zakharova, A.N., Kabachkova, A.V., et al., Psychophysiological features of cyclic and endurance athletes, Teor. Prakt. Fiz. Kul’t., 2015, no. 11, p. 25.

  21. Lin, C.-T., King, J.T., John, A.R., et al., The impact of vigorous cycling exercise on visual attention: A study with the BR8 wireless dry EEG system, Front. Neurosci., 2021, vol. 15, p. 621 365.

    Article  Google Scholar 

  22. Wang, C.H. and Tu, K.C., Neural correlates of expert behavior during a domain-specific attentional cueing task in badminton players, J. Sport Exercise Psychol., 2017, vol. 39, no. 3, p. 209.

    Article  Google Scholar 

  23. Kopylov, M.S., Problems of using the PWC170 test to control the physical performance of middle-distance runners, Uch. Zap. Univ. im. P. F. Lesgafta, 2012, no. 4 (86), p. 68.

  24. Bechara, A., Damasio, H., Tranel, D., and Damasio, A.R., The Iowa gambling task and the somatic marker hypothesis: Some questions and answers, Trends Cogn. Sci., 2005, vol. 9, no. 4, p. 159.

    Article  CAS  PubMed  Google Scholar 

  25. Buelow, M.T. and Suhr, J.A., Construct validity of the Iowa gambling task, Neuropsychol. Rev., 2009, vol. 19, no. 1, p. 102.

    Article  PubMed  Google Scholar 

  26. Kornilova, T.V., Chumakova, M.A., and Kornilov, S.A., Intellect and the success of forecasting strategies in the implementation of the Iowa gambling task (IGT), Psikhologiya, 2018, vol. 15, no. 1, p. 10.

    Google Scholar 

  27. Jansen, P., Paes, F., Hoja, S., and Machado, S., Mental rotation test performance in Brazilian and German adolescents: The role of sex, processing speed, and physical activity in two different cultures, Front. Psychol., 2019, vol. 10, p. 945.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Jaeggi, S.M., Studer-Luethi, B., Buschkuehl, M., et al., The relationship between n-back performance and matrix reasoning—implications for training and transfer, Intelligence, 2010, vol. 38, no. 6, p. 625.

    Article  Google Scholar 

  29. Verbruggen, F. and Logan, G.D., Response inhibition in the stop-signal paradigm, Trends Cognit. Sci., 2008, vol. 12, no. 11, p. 418.

    Article  Google Scholar 

  30. Nyhus, E. and Barceló, F., The Wisconsin card sorting test and the cognitive assessment of prefrontal executive functions: A critical update, Brain Cognit., 2009, vol. 71, no. 3, p. 437.

    Article  Google Scholar 

  31. Seleznov, I., Zyma, I., and Kiyono, K., Detrended fluctuation, coherence, and spectral power analysis of activation rearrangement in EEG dynamics during cognitive workload, Front. Hum. Neurosci., 2019, vol. 13, p. 270.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kabachkova, A.V., Lalaeva, G.S., Zakharova, A.N., and Kapilevich, L.V., EEG alpha rhythm spatial distribution depending on level of motor activity, Teor. Prakt. Fiz. Kul’t., 2016, no. 2, p. 83.

  33. Bullitt, E., Rahman, F.N., Smith, J.K., et al., The effect of exercise on the cerebral vasculature of healthy aged subjects as visualized by MR angiography, Am. J. Neuroradiol., 2009, vol. 30, no. 10, p. 1857.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Voss, M.W., Vivar, C., Kramer, A.F., and van Praag, H., Bridging animal and human models of exercise-induced brain plasticity, Trends Cogn. Sci., 2013, vol. 17, no. 10, p. 525.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Pereira, A.C., Huddleston, D.E., Brickman, A.M., et al., An in vivo correlate of exercise-induced neurogenesis in the adult dentate gyrus, Proc. Natl. Acad. Sci. U.S.A., 2007, vol. 104, no. 13, p. 5638.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Pedersen, B.K., Pedersen, M., Krabbe, K.S., et al., Role of exercise-induced brain-derived neurotrophic factor production in the regulation of energy homeostasis in mammals, Exp. Physiol., 2009, vol. 94, no. 12, p. 1153.

    Article  CAS  PubMed  Google Scholar 

  37. Tsai, S.J., Brain-derived neurotrophic factor: A bridge between major depression and Alzheimer’s disease? Med. Hypotheses, 2003, vol. 61, no. 1, p. 110.

    Article  CAS  PubMed  Google Scholar 

  38. Shohayeb, B., Diab, M., Ahmed, M., and Ng, D.C.H., Factors that influence adult neurogenesis as potential therapy, Transl. Neurodegener., 2018, vol. 7, p. 4.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Park, J.L., Fairweather, M.M., and Donaldson, D.I., Making the case for mobile cognition: EEG and sports performance, Neurosci. Biobehav. Rev., 2015, vol. 52, p. 117.

    Article  PubMed  Google Scholar 

Download references

Funding

The study was supported by the Tomsk State University Development Program (Priority-2030).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to L. V. Kapilevich.

Ethics declarations

Ethics approval. All studies were conducted in accordance with the principles of biomedical ethics, formulated in the Declaration of Helsinki 1964 and its subsequent updates, and approved Commission on Bioethics of the Biological Institute of Tomsk State University (Minutes No. 33 dated December 2, 2019).

Informed consent. Each participant in the study provided a voluntary written informed consent signed by him after explaining to him the potential risks and benefits, as well as the nature of the upcoming study.

Conflict of interest. The authors declare the absence of obvious and potential conflicts of interest related to the publication of this article.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ovchinnikova, N.A., Medvedeva, E.V., Yezhova, G.S. et al. Influence of Physical Loads on Cognitive Functions and Bioelectric Activity of the Brain in Athletes of Various Specializations. Hum Physiol 49, 502–512 (2023). https://doi.org/10.1134/S0362119723600212

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0362119723600212

Keywords:

Navigation