Background. The physical nature of fatigue is complex. Fatigue leads to the depletion of the internal resources of the body. As a result, the pace of work slows down, with accuracy, rhythm and coordination of movements to be disturbed. Freestyle wrestling is a complex sport that imposes a whole complex of strict requirements on athletes, not only physically (strength, physical fitness, endurance, etc.), but also on the psychological and physiological level (using cognitive resources when choosing actions, reaction speed, and features of attention processes in time pressure conditions, etc.). Therefore, it is important to study the effects of physical fatigue on the psychophysiological indicators of wrestlers. The identification of such indicators reflecting the maximized functional conditions for each specific sport and for freestyle wrestling, in particular, will improve the efficiency of training athletes.
The Objective is to study the dynamic development of psychological and psychophysiological indicators in freestyle wrestlers before and after increased physical activity using psychological and electrophysiological methods, as well as to identify possible types of character accentuations in freestyle wrestlers related to the specifics of psychological and psychophysiological presented to this sport requirements. Background. The dynamics of the functional state in freestyle wrestlers was studied before and after increased physical activity. Physical activity was a training session in order to prepare athletes for competitive activity. To study the psychological and psychophysiological indicators of wrestlers, SAN questionnaires of Spielberger-Khanin test were used on a par with electrophysiological methods (EEG). Before training, athletes filled out test forms (SAN, Spilberger-Khanin and Schmishek-Leonhard methods), after which background EEG recording was performed. For statistical data analysis, the Statistica 8 package (for Windows, V 8.0, StatSoft) and the T-test for dependent samples were used. Accentuations of character typical of wrestlers were revealed using K. Leonhard’s (modification of S. Schmishek) method of studying accentuated personalities. We compared the performance of wrestlers of the group with high hypertimity (group 1) and the group with low hypertimity (group 2) in terms of the dynamics of the frequency of theta rhythm and alpha rhythm before and after exercise.
Results. Physical fatigue caused by strong physical exertion significantly affected a decrease in the subjective feeling of well-being, activity, and mood among athletes. In addition, physical fatigue was expressed in a significant decrease in the dominant and average frequency of the theta rhythm in the right hemisphere, as well as in a significant increase in the alpha rhythm in the left hemisphere. Freestyle wrestlers are mainly characterized by a hyper-type character accentuation type associated with mobility and balance of the nervous system, according to the literature. In a state of calm wakefulness, fighters with a hyperthymic type of accentuation are characterized by a low level of anxiety and a low frequency of theta rhythm, which, according to published data, is associated with the activity of the anterior cingulate gyrus, which is involved in the implementation of cognitive processes such as awaiting rewards and making decisions. In the conditions of struggle, there is a sharp increase in the level of anxiety in hyperthymic athletes and a decrease in the dominant frequency of the alpha rhythm in the right hemisphere. Simultaneously, a decrease in the theta rhythm frequency is observed in all wrestlers.
Conclusion. The results obtained allow us to suggest the existence of a certain functional system in freestyle wrestlers, which allows adapting the body’s regulatory systems for the effective implementation of sports activities through the activation of certain brain structures, in particular, the anterior cingulate gyrus. However, this study is pilot (the sample was only 9 athletes), therefore, the results can be illegally extrapolated to a wide selection, but they can be considered as a reserve for further work in this direction.
PDF: Download
Keywords: fatigue; physical activity; wrestling; freestyle; EEG; spectral characteristics; Leonhard-Schmishek questionnaire; Spilberger-Khanin questionnaire; sport psychology; psychophysiological indicators of athletes;
Available Online 31.12.2019
Table 1. Frequency characteristics, EEG pinpoints and analyzed rhythms.
Rhythm |
Frequency |
EEG Pinpoint |
Theta |
4-8 Hz |
F3, Fz and F4 |
Alfa |
8-14 Hz |
Р3, Pz and Р4 |
Beta LF |
14-20 Hz |
С3, Cz and С4 |
Beta HF |
20-35 Hz |
С3, Cz and С4 |
Table 2. Dynamics of the theta rhythm frequency in Group 1 (high hyperthymity) and Group 2 (low hyperthymity) before and after increased physical activity in the left hemisphere (F3).
Theta Rythm |
Before increased physical activity |
After increased physical activity |
|
Domineering Frequency |
Group 1 |
4,99 (1,58) |
4,05 (0,05) |
Group 2 |
6,25 (6,26) |
5,4 (0,55) |
|
Average Frequency |
Group 1 |
5,37 (0,51) |
5,09 (0,1) |
Group 2 |
5,95 (0,3) |
5,35 (0,38) |
Table 3. Dynamics of the domineering alpha rhythm frequency in Group 1 (high hyperthymity) and Group 2 (low hyperthymity) before and after increased physical activity in the right hemisphere (P4).
|
Before increased physical activity |
After increased physical activity |
Group 1 |
10.14 (0,82) |
9.46 (1,32) |
Group 2 |
10.04 (0,51) |
10.51 (0,61) |
The study was supported by the RFBR grant No. 19-013-00951\19
Batarshev A.V. (2006). Diagnosis of personality traits and accentuations: a practical guide. Moscow, Psikhotherapiya, 288.
Berdichevskaya E.M., Gronskaya A.S., & Cherenkevich V.I. (2008). Typological properties of the nervous system and functional asymmetries of young boxers.[Fsiologiya Sportivnaya Meditsina], 1, 33–36.
Caplan J.B. (et al.) (2001). Distinct patterns of brain oscillations underlie two basic parameters of human maze learning. J. Neurophysio, 86(1), 368–380. doi: 10.1152/jn.2001.86.1.368
Deiber M.P., Sallard E., Ludwig C, Ghezzi C., Barral J., & Ibaсez V. (2012). EEG alpha activity reflects motor preparation rather than the mode of action selection. Front Integr Neurosci, 6(59). doi: 10.3389/fnint.2012.00059
DeLuca E. (Ed.) (2005). Fatigue as a Window to the Brain. Cambridge, London: The MIT Press, 357. doi: 10.7551/mitpress/2967.001.0001
Gandevia S.C., Allen G.M., Butler J.E., & Taylor J.L. (1996). Supraspinal factors in human muscle fatigue: evidence for suboptimal output from the motor cortex. J Physiol, 490(2), 529–536. doi: 10.1113/jphysiol.1996.sp021164
Gronskaya A.S., & Cherenkevich V.I. (2005). An individual profile of asymmetry and features of the short-term memory in young boxers. [Nauchnye trudy I sezda fiziologov SNG], 2, 298.
Hanslmayr S., Staudigl T., & Fellner M.C. (2012). Oscillatory power decreases and long-term memory: the information via desynchronization hypothesis. Front Hum Neurosci, 6(74). doi: 10.3389/fnhum.2012.00074
Ilyin E.P. (2001). Differential psychophysiology. St. Petersburg, Nauka, 235.
Inanaga, K. (1998). Frontal midline theta rhythm and mental activity. Psychiatry Clin Neurosci, 52(6), 555–566. doi: 10.1111/j.1440-1819.1998.tb02700.x
Isaev A.V., & Isaichev S.A. (2015). Quantitative and qualitative indicators of the formation of anticipation in wrestling athletes. National Psychological Journal,18(2), 33–41. doi: 10.11621/npj.2015.0203
Jap B.T. (et al.) (2009). Using EEG spectral components to assess algorithms for detecting fatigue. Expert Systems with Applications, 36(2), 2352–2359. doi: 10.1016/j.eswa.2007.12.043
Klimesch W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Research Reviews, 29, 2–3, 169–195. doi: 10.1016/S0165-0173(98)00056-3
Klimesch W. (1997). EEG-alpha rhythms and memory processes. International Journal of Psychophysiology, 26(1–3), 319–340. doi: 10.1016/S0167-8760(97)00773-3
Kornhuber A.W. (et al.) (1990). Will and frontal theta activity. In C.H.M. Brunia, A.W.K. Galliard, A. Kok (Eds.), Psychophysiological brain research. Tillburg: Tillburg University Press, 1, 53–58.
Koryagina Yu.V. (2003). Study of chronobiological characteristics of perception and space in athletes. [Teoriya i praktika fizicheskoy kul'tury], 11, 14–15.
Koteshev V.E., & Makarov V.A. (2006). Boxing. Krasnodar, Edvi, 303.
Kropotov Yu.D. (2010). Quantitative EEG, cognitive evoked potentials of the human brain and neurotherapy. St. Petersburg, 506.
Leonova A.B., & Medvedev V.I. (1981). The functional state of a person in labor activity: textbook. allowance. Moscow, MGU, 111.
Lin Szu-Yu, Hung Chih-I, Wang Hsin-I, & Wu Yu-Te (2015). Extraction of Physically Fatigue Feature in Exercise Using Electromyography, Electroencephalography and Electrocardiography. 11th International Conference on Natural Computation (ICNC). doi: 10.1109/ICNC.2015.7378050
Liu J.Z. (et al.) (2007). Shifting of activation center in the brain during muscle fatigue: an explanation of minimal central fatigue? Neuroimage, 35(1), 299–307. doi: 10.1016/j.neuroimage.2006.09.050
Lorist M.M., Boksem M.A.S., & Ridderinkhof K.R. (2005). Impaired cognitive control and reduced cingulate activity during mental fatigue. Cognitive Brain Research, 24(2), 199–205. doi: 10.1016/j.cogbrainres.2005.01.018
Makarenko N.V. (2001). Sensomotor reactions in human ontogenesis and their relationship with the properties of the nervous system. [Fisiologiya cheloveka], 27(6), 52–57.
Masaaki, T. (2015). Physical fatigue increases neural activation during eyes-closed state: a magnetoencephalography study. In Masaaki Tanaka, Akira Ishii, & Yasuyoshi Watanabe, Behav Brain Funct, 11, 35. doi: 10.1186/s12993-015-0079-3
Matova M.A. (1967). The study of the psychophysiological readiness of a tennis player for future activities. [Psikhologicheskie voprosy sportivnoy trenirovki], Moscow, 57–65.
Mitchell D.J. (et al.) (2008). Frontal-midline theta from the perspective of hippocampal «theta». Prog. Neurobiol, 86(3), 156–185. doi: 10.1016/j.pneurobio.2008.09.005.
Murataa A., Uetakeb A., & Takasawab Y. (2005). Evaluation of mental fatigue using feature parameter extracted from eventrelated potential. Journal of Industrial Ergonomics, 35(8), 761–770. doi: 10.1016/j.ergon.2004.12.003 46.
Nelyubin V.V. (1995). Evolutionary transformations in wrestling: textbook. Part 1. Novosibirsk: Pasman and Shuvalov, 95.
Newsholme E.A., & Blomstrand E. (1995). Tryptophan 5-hydroxytryptamine and a possible explanation for central fatigue. Advances in Experimental Medicine and Biology, 384, 315–320. doi: 10.1007/978-1-4899-1016-5_25
Novikova S.I. (2015). EEG rhythms and cognitive processes. [Sovremennaya zarubezhnaya psikhologiya], 4(1), 91–108.
Parshukova L.P., & Vyboyshchik I.V. (2007). Accentuation of character: textbook. Chelyabinsk, Izdatel’stvo YUUrGU, 84.
Pizzagalli, D.A., Oakes, T.R., & Davidson, R.J. (2003). Coupling of theta activity and glucose metabolism in the human rostral anterior cingulate cortex: An EEG/PET study of normal and depressed subjects. Psychophysiology, 40, 939–949. doi: 10.1111/1469-8986.00112
Polikanova I.S., Sysoeva O.V., & Tonevitsky A.G. (2012). Association between serotonin transporter (5HTT) and mental fatigue developmen [Psikhologicheskie Issledovaniya], Vol. 5. 24. Retrieved from: http://psystudy.ru/index.php/eng/2012v5n24e/717-polikanova24e.html (accessed 12.09.2019).
Polikanova I.S., Sysoeva O.V., & Tonevitsky A.G. (2012). Association between 5HTT polymorphism and cognitive fatigue development. International Journal of Psychophysiology (Special Issue), 3(85), 411–411. doi: 10.1016/j. ijpsycho.2012.07.128
Polikanova I.S., & Sergeev A.V. (2014). The effect of long-term cognitive load on the EEG parameters. National Psychological Journal, 1(13), 84–92. doi: 10.11621/npj.2014.0109
Rodionov V.A. (2015). Sports psychology. Moscow, Yurayt.
Popova T.V., Koryukalov Yu.I., & Kourova O.G. (2015). Endurance and Fatigue Caused by Local Muscular Performance in Skilled Athletes. Fiziologiya Cheloveka, 41(6), 128–130.
Shakhanova A.V., Koblev Y.K., Petrova T.G., & Namitokova A.A. (2010). Features of the functional state of the central nervous system of judo athletes. [Vestnik Adygeyskogo gosudarstvennogo Universiteta]. Series 4. Natural-mathematical and technical sciences, 3, 49–56. doi: 10.1134/S0362119715060079
Shulika Yu.A., Koblev Y.K., Nevzorov V.M., & Shkhalyakho Yu.M. (2006). Judo: system and struggle. Rostov-on-Don, Feniks, 798.
Sologub E.B. (1990). The physiological basis of the directed adaptation of the brain of athletes to solving tactical problems. [Teoriya i praktika fizicheskoy kul'tury], 5, 6–8.
Smirnov V.M. (2004). Neurophysiology and higher nervous activity of children and adolescents. Moscow, Akademiya, 400.
Stroganova T.A., & Orekhova E.V. (2013). EEG and infant states. Infant EEG and Event Related Potentials. M. de Haan (Ed.). New York: Psychology Press, 251–287.
Surkov E.N. (1984). Psychomotor athlete. Moscow, Fizicheskaya kul'tura i sport, 126.
Taylor J.L., Butler J.E., Allen G.M., & Gandevia S.C. (1996). Changes in motor cortical excitability during human muscle fatigue. J Physiol. 490(2), 519–28. doi: 10.1113/jphysiol.1996.sp021163
Trejo L.J. et al. (2005). EEG-based Estimation of Cognitive Fatigue. Proceedings of Symposium OR05 Defense and Security, 5797, 105–115. Retrieved from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.330.2239&rep=rep1&type=pdf (accessed accessed 12.09.2019). doi: 10.1007/978-3-540-73216-7_23
Trejo L.J. et al. (2007). EEG-Based Estimation of Mental Fatigue: Convergent Evidence for a Three-State Model. In Eds. D.D. Schmorrow, & L.M. Reeves, Foundations of Augmented Cognition. Berlin: Springer, 201–211. (Lecture Notes in Computer Science; Vol. 4565). doi: 10.1007/978-3-540-73216-7_23
Vinogradova O.S., Kitchigina V.F., & Zenchenko C.I. (1998). Pacemaker neurons of the forebrain medical septal area and theta rhythm of the hippocampus. Membr. Cell. Biol, 11(6), 715–725.
Zemtsova I.I. (2010). Sports physiology: textbook. manual. Kiev, Olimpiyskaya literatura.
Zhilina E.V. (2008). Accentuation of character in the structure of integral individuality. [Izvestiya Rossiyskogo gosudarstvennogo pedagogicheskogo universiteta im. A.I. Gertsena]. Series Pedagogy and Psychology. Theory and teaching methodology, 394–399.Polikanova I.S., Isaev A.V., Leonov S.V. (2019). Individual typological features of the freestyle wrestlers’ nervous system and the dynamics of their psychophysiological parameters when exposed to strong physical activity. National Psychological Journal, [Natsional’nyy psikhologicheskiy zhurnal], (12)4, 53–63.