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Interhemispheric neurodynamics of the EEG coherence spectrum in the process of probabilistic prediction

Keywords:

N.A. Ryabchikova – Dr.Sc. (Biol.), Senior Research Scientist, Department of Higher Nervous Activity, Faculty of Biology, Lomonosov Moscow State University
E-mail: RNA@protein.bio.msu.ru
A.V. Savelyev – Ph.D. (Philos.), Senior Research Scientist, Director of the Patent agency «©Uniquely honest patenting» (Moscow)
E-mail: gmkristo@rambler.ru
V.L. Efimova – Ph.D. (Ped.), Principal Director of Scientific Research «Prognosis» Group Neurological Clinics (Saint-Peterburg)
E-mail: prefish@yandex.ru


Our purpose was to study patterns of interhemispheric neurodynamics of spatial-temporal synchronization of the human brain EEG by the method of spectral-correlation analysis in the process of prognostic activity. Taking into account the extent correlation of the prognosis success and the topography of spectrum coherence EEG, particularly in the alpha and theta fre-quencies area associated with the perception, attention, memory, thinking, prognosing. Individuals with adequate prognosis have a stabilization of the high-frequency rhythm (alpha range), pronounced differences in the frequency of the spectrum, a sufficiently high level of maturity of thalamo-cortical rhythmogenic systems, the formation of multiple alpha-generators. A lower level of coherence in the theta range, in comparison with the alpha range, in persons with difficulties in predicting indicates a sufficiently developed system of cortical inhibition of the diencephalic structures of the brain. The persons with difficulties in predicting the systemic organization of the brain is characterized by a certain weakening of the activity of the associative structures of the brain and, possibly, a slowing of interhemispheric integration. In subjects with difficulties in predicting correlation relationships are established predominantly in the theta-activity band, which is associated with emotional stress leading to inhibition, which is combined with poor efficiency in solving prognostic problems. The analysis of the obtained data testifies to the use of different rhythms within the alpha and theta activities as an integration mechanism by different groups of subjects, which have different functional meaning, different sources of origin, and are associated with different levels of probabilistic prediction efficiency. The study of the coherence of biopotentials makes it possible to characterize quite adequately the interconnectedness of the individual frequency ranges constituting the EEG of the brain regions concerned in situations of undirected and directional attention in persons with different predictive efficiencies. Investigation of the EEG coherence spectrum of the occipital, central and temporal cortical areas in both groups of subjects in situations of directional and non-directional attention has shown that the activity performed affects inter-central relationships, changing the spatial pattern of EEG spectra correlations.
This work was supported financially by RFH in grant № 15-03-00519а «Post-non-classic paradigm of artificial intellect».

References:
  1. Moskalenko Yu.E., Ryabchikova N.A., Weinstein G.B., Halvorson P., Vardy T.C. Changes of Circulatory – Metabolic Indices and Skull Biomechanics with Brain Activity During Aging // Journal of Integrative Neuroscience a Transdisciplinary Journal. Imperial College Press. 2011. V. 10. № 2. P. 131–160.
  2. Ryabchikova N.A., Baziyan B.X., Becz L.V., Xal'vorson P. Veroyatnostnoe prognozirovanie kak metod oczenki intellektual'ny'x vozmozhnostej cheloveka // IV S''ezd fiziologov SNG. Dagomy's, Rossiya, 8–12 oktyabrya 2014. S. 46.
  3. Fejgenberg I.M., Lavrik V.V. Veroyatnostnoe prognozirovanie // Voobrazhenie. Mir psixologii. 2001. № 1(25). S. 174–179.
  4. Kulaichev A.P. Integrirovannaya sistema dlya kontrolya proczessov i analiza signalov Conanm-1.5. Rukovodstvo pol'zovatelya. M.: Informatika i komp'yutery'. 1993. C. 59.
  5. Kulaichev A.P. Metody' i sredstva analiza danny'x v srede Windows: Stadia 6.0. M., Informatika i komp'yutery'. 1996. C. 257.
  6. Novikova L.A., Farber D.A. Funkczional'noe sozrevanie kory' i podkorkovy'x struktur mozga v razlichny'e vozrastny'e periody' po danny'm e'lektrofiziologicheskix issledovanij // Vozrastnaya fiziologiya. L. 1975. S. 26.
  7. Simonov P.V. E'moczional'ny'j mozg. M. 1981. S. 215.
  8. Livanov M.N. Prostranstvennaya organizacziya proczessov golovnogo mozga. M. 1972. S. 181.
  9. Sviderskaya N.E., Korol'kova T.A., Nikolaeva N.O. Prostranstvenno-chastotnaya struktura e'lektricheskix korkovy'x proczessov pri razlichny'x intellektual'ny'x dejstviyax cheloveka // Fiziologiya cheloveka. 1990. T. 16. № 5. S. 5–12.
  10. Fishman M.N. Integrativnaya deyatel'nost' mozga detej i patologiya: E'lektrofiziologicheskoe issledovanie. M.: Pedagogika. 1989. S.144.
  11. Danilova N.N. Psixofiziologicheskaya diagnostika funkczional'ny'x sostoyanij. M.: Izd-vo MGU. 1992. S. 78–106.
  12. Ryabchikova N.A., Savel'ev A.V., Efimova V.L., Efimov O.I., Xal'vorson P., Sy'chev S.M. Matematicheskaya model' proczessa resheniya chelovekom prognosticheskoj zadachi v problemnoj situaczii // Biomediczinskaya radioe'lektronika. 2015. № 6. S. 21–25.

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