Human Physiology

, Volume 44, Issue 6, pp 635–646 | Cite as

EEG Correlation of the Influence of Endogenous and Exogenous Factors on Mental Work Capacity in Students

  • M. V. YatsenkoEmail author
  • N. Z. KaigorodovaEmail author
  • E. M. Kazin
  • A. I. Fedorov


The study was aimed at investigating the influence of endogenous (properties of the nervous system, extra/introversion, the level of neuroticism) and exogenous (air temperature, atmospheric pressure, time of day, solar activity) factors on the initial bioelectric activity of the brain and mental capacity of students. The study included 342 healthy subjects of both sexes aged 20–21 years. First EEG was recorded and then the students performed a 3-min proof-reading test. Individual characteristics were assessed on the following day. Mental performance was assessed by Anfimov’s alphabetic tables. Individual characteristics were determined using Eysenck’s and Strelyau’s personality inventories. The functional state was assessed by EEG records from 21 leads unipolarly according to the International 10–20 System in the sitting position. Reference electrodes were fixed on earlobes. It was found that unfavorable factors of external environment led to a decrease in mental task performance with a more pronounced Δ rhythm. Different aspects of mental task performance were determined by different individual typological features of the students: the volume and speed of work were correlated positively with the level of introversion and mobility of nervous processes and negatively with the strength of inhibition. The accuracy of work was correlated positively with the level of extraversion and the balance of nervous processes and negatively with the level of neuroticism. The functional state of the brain, which exerts a positive effect on mental task performance, was associated primarily with α rhythm pacemakers.


mental task capacity volume speed and accuracy of work functional state electroencephalogram rhythms extraversion introversion neurotism strength of excitation and inhibition processes mobility and balance of nervous processes 



  1. 1.
    Alexeeva, M.V., Balioz, N.V., Muravlyova, K.B., et al., Training for voluntarily increasing individual upper α power as a method for cognitive enhancement, Hum. Physiol., 2012, vol. 38, no. 1, p. 40.CrossRefGoogle Scholar
  2. 2.
    Vodolazhskaya, M.G. and Vodolazhskii, G.I., Sexual differences in the meteosensitivity of healthy adults recorded on the rheoencephalogram and encephalogram, Aviakosm. Ekol. Med., 2014, vol. 48, no. 5, p. 27.Google Scholar
  3. 3.
    Gribanov, A.V., Dzhos, Yu.S., and Rysina, N.N., Dynamics of brain bioelectric activity in 16–17 years old schoolchildren in different conditions of natural illumination in the North, Ekol. Chel., 2013, no. 6, p. 42.Google Scholar
  4. 4.
    Kaigorodova, N.Z. and Yatsenko, M.V., EEG correlates of mental performance in the context of individual typological characteristics of students, Psikhol. Obucheniya, 2012, no. 7, p. 15.Google Scholar
  5. 5.
    Korobeinikova, I.I., The success of effective students with different spectral-spatial characteristics of the alpha-rhythm of the background EEG, Akad. Zh. Zap. Sib., 2014, vol. 10, no. 3 (52), p. 62.Google Scholar
  6. 6.
    Leonova, A.B. and Kuznetsova, A.S., Functional states and work capacity of a person in professional activity, in Psikhologiya truda, inzhenernaya psikhologiya, ergonomika (Psychology of Labor, Engineering Psychology, and Ergonomics), Klimov, E.A. et al., Eds., Moscow: Yurait, 2015,Google Scholar
  7. 7.
    Litvinova, N.A., Rol’ individual’nykh psikhofiziologicheskikh osobennostei studnetov v adaptatsii k umstvennoi i myshechnoi deyatel’nosti (Role of Individual Psychophysiological Features of Students in Adaptation to Mental and Muscular Activity), Kemerovo: Kemerovsk. Gos. Univ., 2012.Google Scholar
  8. 8.
    Machinskaya, R.I. and Kurgansky, A.V., A comparative electrophysiological study of regulatory components of working memory in adults and seven- to eight-year-old children: An analysis of coherence of EEG rhythms, Hum. Physiol., 2012, vol. 38, no. 1, p. 1.CrossRefGoogle Scholar
  9. 9.
    Pobachenko, S.V. and Zyryanov, A.S., Biorhythmological activity of the functional state of the human brain according to daily EEG monitoring, Vestn. Ross. Univ. Druzhby Nar., Ser.: Med., 2012, no. 7, p. 180.Google Scholar
  10. 10.
    Poskotinova, L.V., Demin, D.B., and Krivonogo-va, E.V., Dynamics of spectral parameters of the human electroencephalogram during diurnal variations of the geomagnetic field, Ekol. Chel., 2014, no. 5, p. 3.Google Scholar
  11. 11.
    Filatov, M.A., Prasolova, A.A., Polukhin, V.V., and Popov, Yu.M., System analysis of psychophysiological functions of students affected by meteorological factors of Yugra, Vestn. Nov. Med. Tekhnol., 2015, vol. 9, no. 4. Scholar
  12. 12.
    Yadrishchenskaya, T.V., Correlation and gender characteristics of attention, Uch. Zap. Zabaikal’sk. Gos. Univ., 2015, no. 1 (60), p. 155.Google Scholar
  13. 13.
    Yatsenko, M.V. and Kaigorodova, N.Z., Mental efficiency and functional state of the brain in first grade female students at different levels of solar activity, Biosfera, 2018, vol. 10, no. 1, p. 31.CrossRefGoogle Scholar
  14. 14.
    Volf, N.V., Razumnikova, O.M., and Tarasova, I.V., EEG-mapping study of sex differences during verbal creative thinking, in Focus on Brain Research, Resch, S.J., Ed., New York: Nova Science, 2007, p. 123.Google Scholar
  15. 15.
    Osokina, E.S., Auditory attention with a binary choice of response based on integration of stimulus and response characteristics depending on temperament, Eksp. Psikhol., 2012, vol. 5, no. 4, p. 5.Google Scholar
  16. 16.
    Polikanova, I.S. and Sergeev, A.A., Effect of a prolonged cognitive load on EEG parameters, Nats. Psikhol. Zh., 2014, no. 1 (13), p. 84.Google Scholar
  17. 17.
    Brokaw, K., Tishler, W., Manceor, S., et al., Resting state EEG correlates of memory consolidation, Neurobiol. Learn Mem., 2016, vol. 130, pp. 17–25.CrossRefGoogle Scholar
  18. 18.
    Hanslmayr, S., Gross, J., Klimesch, W., and Shapi-ro, K.L., The role of alpha oscillations in temporal attention, Brain Res. Rev., 2011, vol. 67, no. 1, p. 331.CrossRefGoogle Scholar
  19. 19.
    Hanslmayr, S. and Staudigl, T., How brain oscillations form memories—a processing based perspective on oscillatory subsequent memory effects, NeuroImage, 2014, vol. 85, p. 648.CrossRefGoogle Scholar
  20. 20.
    Klimesch, W., Memory processes, brain oscillations and EEG synchronization, Int. J. Psychophysiol., 1996, vol. 24, nos. 1–2, p. 61.CrossRefGoogle Scholar
  21. 21.
    Klimesch, W., Alpha-band oscillations, attention, and controlled access to stored information, Trends Cognit. Sci., 2012, vol. 16, no. 12, p. 606.CrossRefGoogle Scholar
  22. 22.
    Rilk, A.J., Soekadar, S.R., Sauseng, P., and Plew-nia, C., Alpha coherence predicts accuracy during a visuomotor tracking task, Neuropsychologia, 2011, vol. 49, no. 13, p. 3704.CrossRefGoogle Scholar
  23. 23.
    Thatcher, R.W., North, D.M., and Biver, C.J., Intelligence and EEG phase reset: a two compartmental model of phase shift and lock, NeuroImage, 2008, vol. 42, no. 4, p. 1639.CrossRefGoogle Scholar
  24. 24.
    Aidarkin, E.K. and Fomina, A.S., Dynamics of spatial synchronization of brain potentials in solving complex arithmetic examples, Valeologiya, 2012, no. 3, p. 91.Google Scholar
  25. 25.
    Dzhebrailova, T.D., Korobeinikova, I.I., and Karatygin, N.A., The structure lability of coherent interrelationships of biopotentials in the ranges of the main EEG rhythms and the efficiency of human intellectual activity, Akad. Zh. Zapadn. Sib., 2014, vol. 10, no. 3 (52), p. 58.Google Scholar
  26. 26.
    Razoumnikova, O.M., Functional organization of different brain areas during convergent and divergent thinking: an EEG investigation, Congnit. Brain Res., 2000, vol. 10, p. 11.CrossRefGoogle Scholar
  27. 27.
    Pavlov, K.I., Mukhin, V.N., and Klimenko, V.M., Dependence of the activation level of the female cerebral cortex on various environmental factors, Goefiz. Prots. Biosfera, 2015, vol. 14, no. 4, p. 22.Google Scholar
  28. 28.
    Stolyarenko, L.D., Osnovy psikhologii (Fundamentals of Psychology), Rostov-on-Don: Feniks, 1996.Google Scholar
  29. 29.
    Bechtereva, N.P., Zdorovyi i bol’noi mozg cheloveka (A Healthy and Pathological Human Brain), Moscow: AST, 2010.Google Scholar
  30. 30.
    Knyazev, G.G., Brain oscillations and human behavior: an evolutionary approach, Materialy Sibirskogo psikhologicheskogo foruma “Metodologicheskie problemy sovremennoi psikhologii: illyuzii i real’nost’,” 16–18 sentyabrya 2004 g. (Proc. Sib. Psychological Forum “Modern Psychology: Illusions and Reality,” September 16–18, 2004), Tomsk: Tomsk. Gos. Univ., 2004, p. 570.Google Scholar
  31. 31.
    Klimesch, W., Sauseng, P., and Hanslmayr, S., EEG alpha oscillations: the inhibition–timing hypothesis, Brain Res. Rev., 2007, vol. 53, no. 1, p. 63.CrossRefGoogle Scholar
  32. 32.
    Sherman, S.M. and Guillery, R.W., Exploring the Thalamus and Its Role in Cortical Function, Cambridge, Ma: MIT Press, 2005.Google Scholar
  33. 33.
    Herweg, N.A., Apitz, T., Leicht, G., et al., Theta-alpha oscillations bind the hippocampus, prefrontal cortex, and striatum during recollection: evidence from simultaneous EEG-fMRI, J. Neurosci., 2016, vol. 36, no. 12, p. 3579.CrossRefGoogle Scholar
  34. 34.
    Khomskaya, E.D., Neiropsikhologiya (Neuropsychology), St. Petersburg: Piter, 2005, 4th ed.Google Scholar
  35. 35.
    Danilova, N.N., Analysis of the brain activity in the Sokolov Psychophysiological School, Vestn. Mosk. Univ., Ser. 14: Psikhol., 2010, no. 4, p. 79.Google Scholar
  36. 36.
    Hoffman, L.D. and Polich, J., EEG, ERPs and food consumption, Biol. Psychol., 1998, vol. 48, p. 139.CrossRefGoogle Scholar
  37. 37.
    Orzeł-Gryglewska, J., Consequences of sleep deprivation, Int J. Occup. Med. Environ. Health, 2010, vol. 23, no. 1, p. 95.Google Scholar
  38. 38.
    Pavone, K.J., Akeju, O., Sampson, A.L., et al., Nitrous oxide-induced slow and delta oscillations, Clin. Neurophysiol., 2016, vol. 127, no. 1, p. 556.CrossRefGoogle Scholar
  39. 39.
    Wang, C., Szabo, J.S., and Dykman, R.A., Effects of a carbohydrate supplement upon resting brain activity, Integr. Physiol. Behav. Sci., 2004, vol. 39, no. 2, p. 126.CrossRefGoogle Scholar
  40. 40.
    Aftanas, L.I., Emotsional’noe prostranstvo cheloveka: psikhofiziologicheskii analiz (Emotional Space of a Man: Psychophysiological Analysis), Novosibirsk: Sib. Otd., Ross. Akad. Nauk, 2000.Google Scholar
  41. 41.
    Bazanova, O.M., Modern interpretation of EEG alpha activity, Mezhdunar. Nevrol. Zh., 2011, no. 8, p. 96.Google Scholar
  42. 42.
    Klimesch, W., Doppelmayr, M., Schwaiger, J., et al., Paradoxical alpha synchronization in a memory task, Cognit. Brain Res., 1999, vol. 7, no. 4, p. 493.CrossRefGoogle Scholar
  43. 43.
    Fink, A., Grabner, R.H., Benedek, M., and Neubauer, A.C. Divergent thinking training is related to frontal electroencephalogram alpha synchronization, Eur. J. Neurosci., 2006, vol. 23, no. 8, p. 2241.CrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Inc. 2018

Authors and Affiliations

  1. 1.Altai State UniversityBarnaulRussia
  2. 2.Kemerovo State UniversityKemerovoRussia

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