Skip to main content
SpringerLink
Log in

Study of Brain Bioelectrical Activity Maturation in Northern Schoolchildren with Integral Parameters of Multichannel EEG

  • Published:
Human Physiology Aims and scope Submit manuscript

Abstract

The purpose of this study was to evaluate the age dynamics of the integral characteristics of spatial (Asf), temporal (Rsf), and spectral (frequency) organization of brain bioelectric activity by analyzing the structure function (SF) of a multichannel EEG. The study consisted of two series, one conducted in autumn and other, four months later in spring. The study included 38 schoolchildren aged 7–17 years from the North. A linear relationship was observed between the magnitude of the time scale of the EEG temporal connectivity Rsf and the age (r = –0.65, p < 0.001) and assumed to reflect the increase in functional lability and plasticity of neurodynamic processes. A comparison of EEG parameters in 23 schoolchildren included in both series showed an individual stability of the integral characteristics of the spatial and temporal organization of the EEG. Several subjects had a changed frequency spectrum of the SF in spring compared to that in autumn; the finding reflected changes in the balance of subcortical and cortical regulatory systems during seasonal adaptation in the North.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.

Similar content being viewed by others

REFERENCES

  1. Alferova, V.V. and Farber, D.A., Reflection of age features of the functional organization of the brain in an electroencephalogram of rest, in Strukturno-funktsional’naya organizatsiya razvivayushchegosya mozga (Structural and Functional Organization of Developing Brain), Leningrad: Nauka, 1990, p. 45.

  2. Thatcher, R.W., Cyclic cortical reorganization during early childhood, Brain Cognit., 1992, vol. 20, no. 1, p. 24.

    Article  CAS  Google Scholar 

  3. Gmehlin, D., Thomas, Ch., Weisbrod, M., et al., Development of brain synchronization within school-age—individual analysis of resting (α) coherence in a longitudinal data set, Clin. Neurophysiol., 2011, vol. 122, p. 1973.

    Article  PubMed  Google Scholar 

  4. Nunez, P.L., Toward a quantitative description of large-scale neocortical dynamic function and EEG, Behav. Brain Sci., 2000, vol. 23, no. 3, p. 371.

    Article  CAS  PubMed  Google Scholar 

  5. Tsitseroshin, M.N. and Shepoval’nikov, A.N., Stanovlenie integrativnoi funktsii mozga (Development of the Integrative Function of the Brain), St. Petersburg: Nauka, 2009.

  6. Rappoport, Zh.Zh., Adaptatsiya rebenka na Severe (Adaptation of a Child in the North), Leningrad: Meditsina, 1979.

  7. Boiko, E.R., Fiziko-biokhimicheskie osnovy zhiznedeyatel’nosti cheloveka na Severe (Physiological-Biochemical Basis of Human Life in the North), Yekaterinburg: Ural. Otd., Ross. Akad. Nauk, 2005.

  8. Evdokimov, V.G., Rogachevskaya, O.V., and Varlamova, N.G., Moduliruyushchee vliyanie faktorov Severa na kardiorespiratornuyu sistemy cheloveka v ontogenese (Modulation Effect of the North Conditions on Cardiorespiratory System of a Man in Ontogenesis), Yekaterinburg: Ural. Otd., Ross. Akad. Nauk, 2007.

  9. Tkachev, A.V., Boiko, E.R., Gubkina, Z.D., et al., Endokrinnaya sistema i obmen veshchestv u cheloveka na Severe (Endocrine System and Metabolism of a Man in the North), Syktyvkar: Komi Nauch. Tsentr, Ural. Otd., Ross. Akad. Nauk, 1992.

  10. Koubasov, R.V., Demin, D.B., and Tkachev, A.V., Adaptive reactions of the endocrine system of children living under conditions of contrasting photoperiods, Hum. Physiol., 2006, vol. 32, no. 4, p. 450.

    Article  CAS  Google Scholar 

  11. Soroko, S.I., Burykh, E.A., Bekshaev, S.S., et al., Characteristics of the formation of systems activity in the brain and autonomic functions in children in conditions of the European North (discussion paper), Neurosci. Behav. Physiol., 2007, vol. 37, no. 9, p. 857.

    Article  CAS  PubMed  Google Scholar 

  12. Medvedev, V.I., Adaptatsiya cheloveka (Adaptation of a Man), St. Petersburg: Inst. Mozga Chel., Ross. Akad. Nauk, 2003.

  13. Kolmogorov, A.N., Local structure of turbulence in an incompressible viscous fluid at very high Reynolds numbers, Dokl. Akad. Nauk SSSR, 1941, vol. 30, no. 4, p. 299.

    Google Scholar 

  14. Prokhorov, S.A. and Grafkin, V.V., Strukturno-spektral’nyi analiz sluchainykh protsessov (Structural-Spectral Analysis of Random Processes), Samara: Samar. Nauch. Tsentr, Ross. Akad. Nauk, 2010.

  15. Kaplan, A.Ya., B’en, Dzh.G., Timashev, S.F., et al., Functional variability of the autocorrelation structure of the EEG, Zh. Vyssh. Nervn. Deyat. im. I.P. Pavlova, 2006, vol. 56, no. 3, p. 389.

    Google Scholar 

  16. Timashev, S.F., Panischev, O.Yu., Polyakov, Y.S., et al., Analysis of cross-correlations in electroencephalogram signals as an approach to proactive diagnosis of schizophrenia, Phys. A (Amsterdam), 2012, vol. 391, no. 4, p. 1179.

    Article  Google Scholar 

  17. Sleimen-Malkoun, R., Perdikis, D., Müller, V., et al., Brain dynamics of aging: Multiscale variability of EEG signals at rest and during an auditory oddball task, eNeuro, 2015, vol. 2, no. 3, p. 1.

    Article  Google Scholar 

  18. Conte, E., Khrennikov, A., Federici, A., and Zbilut, J.P., Fractal fluctuations and quantum-like chaos in the brain by analysis of variability of brain waves: A new method based on a fractal variance function and random matrix theory: A link with El Naschie fractal Cantorian space–time and V. Weiss and H. Weiss golden ratio in brain, Chaos, Solitons Fractals, 2009, vol. 41, no. 5, p. 2790.

    Article  Google Scholar 

  19. Trifonov, M. and Rozhkov, V., Age-related changes in probability density function of pairwise Euclidean distances between multichannel human EEG signals, J. Biosci. Med., 2014, vol. 2, no. 4, p. 19.

    Google Scholar 

  20. Trifonov, M., The structure function as new integral measure of spatial and temporal properties of multi-channel EEG, Brain Inf., 2016, vol. 3, no. 4, p. 211.

    Article  Google Scholar 

  21. Rozhkov, V.P., Trifonov, M.I., Bekshaev S.S., et al., Assessment of the effects of geomagnetic and solar activity on bioelectrical processes in the human brain using a structural function, Neurosci. Behav. Physiol., 2018, vol. 48, p. 317.

    Article  Google Scholar 

  22. Fischer, L, Craig, G.C., and Kiemle, C., Horizontal structure function and vertical correlation analysis of mesoscale water vapor variability observed by airborne lidar, J. Geophys. Res.: Atmos., 2013, vol. 118, p. 1.

    Google Scholar 

  23. Ukhtomskii, A.A., Sobranie sochinenii. Tom 2. Parabioz, fiziologicheskaya labil’nost’, usvoenie ritma (Collection of Research Works, Vol. 2: Parabiosis, Physiological Lability, and Rhythm Assimilation), Leningrad: Leningr. Gos. Univ., 1951.

  24. Bezrukikh, M.M., Machinskaya, R.I., and Farber, D.A., Structural and functional organization of a developing brain and formation of cognitive functions in child ontogeny, Hum. Physiol., 2009, vol. 35, no. 6, p. 658.

    Article  Google Scholar 

  25. Soroko, S.I., Rozhkov, V.P., and Bekshaev, S.S., EEG correlates of genophenotypic characteristics of brain development in children of the aboriginal and settler populations in Northeast Russia, Neurosci. Behav. Physiol., 2013, vol. 43, no. 7, p. 783.

    Article  Google Scholar 

  26. Gasser, T., Verleger, R., Bächer, P., and Sroka, L., Development of the EEG of school-age children and adolescents. I. Analysis of band power, Electroencephalogr. Clin. Neurophysiol., 1988, vol. 69, no. 2, p. 91.

    Article  CAS  PubMed  Google Scholar 

  27. Soroko, S.I., Shemyakina, N.V., Nagornova, Z.V., and Bekshaev, S.S., Longitudinal study of EEG frequency maturation and power changes in children on the Russian North, Int. J. Dev. Neurosci., 2014, vol. 38, p. 127.

    Article  CAS  PubMed  Google Scholar 

  28. Kruchinina, O.V., Galperina, E.I., and Shepovalni-kov, A.N., Characteristics of the spatial organization of oscillations of brain bioelectric potentials in adolescents, Hum. Physiol., 2014, vol. 40, no. 5, p. 483.

    Article  Google Scholar 

  29. Segalowitz, S.J., Santesso, D.L., and Jetha, M.K., Electrophysiological changes during adolescence, Brain Cognit., 2010, vol. 72, no. 1, p. 86.

    Article  Google Scholar 

  30. Miskovic, V., Ma, X., Chou, C.A., et al., Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood, Neuroimage, 2015, vol. 118, p. 237.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Soroko, S.I., Bekshaev, S.S., and Sidorov, Yu.A., Osnovnye tipy mekhanizmov samoregulyatsii mozga (General Mechanisms of Brain Self-Regulation), Leningrad: Nauka, 1990.

  32. Pavlov, I.P., Polnoe sobranie sochinenii (Full Collection of Research Works), Moscow: Akad. Nauk SSSR, 1951–1952, vol. 3, book 2, p. 268.

  33. Whitford, T.J., Rennie, C.J., Grieve, S.M., et al., Brain maturation in adolescence: concurrent changes in neuroanatomy and neurophysiology, Hum. Brain Mapp., 2007, vol. 28, no. 3, p. 228.

    Article  PubMed  Google Scholar 

  34. Koolschijn, P.C. and Crone, E.A., Sex difference and structural brain maturation from childhood to early adulthood, Dev. Cognit. Neurosci., 2013, vol. 5, p. 106.

    Article  Google Scholar 

  35. Krivoschekov, S.G. and Grebneva, N.N., The morphological features and functional state of the adolescent organism under conditions of adaptation to the North, Hum. Physiol., 2000, vol. 26, no. 2, p. 204.

    Article  Google Scholar 

  36. Arshavskii, V.V., Gel’fgat, E.L., Rotenberg, V.S., and Solovenchuk, L.L., Interhemispheric asymmetry as a factor of human adaptation in the North, Fiziol. Chel., 1989, vol. 15, no. 5, p. 142.

    CAS  Google Scholar 

  37. Semenova, O.A., Machinskaya, R.I., and Loma-kin, D.I., The influence of the functional state of brain regulatory systems on the programming, selective regulation and control of cognitive activity in children: I. Neuropsychological and EEG analysis of age-related changes in brain regulatory functions in children aged 9–12 years, Hum. Physiol., 2015, vol. 41, no. 4, p. 345.

    Article  CAS  Google Scholar 

  38. Shirmunskaya, E.A., Klinicheskaya elektroentsefalografiya. Obzor literatury i perspektivy ispol’zovaniya metoda (Clinical Electroencephalography: A Literature Review and Prospective Use), Moscow: Meibi, 1991.

Download references

Author information

Authors and Affiliations

  1. Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, St. Petersburg, Russia

    V. P. Rozhkov, M. I. Trifonov & S. I. Soroko

Authors
  1. V. P. Rozhkov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. I. Trifonov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. I. Soroko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to V. P. Rozhkov.

Additional information

Translated by T. Tkacheva

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rozhkov, V.P., Trifonov, M.I. & Soroko, S.I. Study of Brain Bioelectrical Activity Maturation in Northern Schoolchildren with Integral Parameters of Multichannel EEG. Hum Physiol 44, 617–626 (2018). https://doi.org/10.1134/S0362119718060099

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0362119718060099

Keywords:

Search

Navigation