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ISSN 2522-9028 (Print)
ISSN 2522-9036 (Online)

Fiziologichnyi Zhurnal

is a scientific journal issued by the

Bogomoletz Institute of Physiology
National Academy of Sciences of Ukraine

Editor-in-chief: V.F. Sagach

The journal was founded in 1955 as
1955 – 1977 "Fiziolohichnyi zhurnal" (ISSN 0015 – 3311)
1978 – 1993 "Fiziologicheskii zhurnal" (ISSN 0201 – 8489)
1994 – 2016 "Fiziolohichnyi zhurnal" (ISSN 0201 – 8489)
2017 – "Fiziolohichnyi zhurnal" (ISSN 2522-9028)

Fiziol. Zh. 2023; 69(6): 22-32


O.I. Podkovka, M.Y. Makarchuk, N.B. Filimonova, I.V. Pampuha, Ye.V. Varzhanska

    ESC “Institute of Biology and Medicine” of Taras Shevchenko National University of Kyiv, Ukraine


Operators are often subjected to a high working memory load as far as any possibly useful information must always be available and presented to the operator. Thus, we assumed that they may have developed adaptations in mechanisms of working memory realization that help them to be more efficient in information overload conditions. Our aim was to define differences in visual working memory functioning in radar station operators (RSO) and other military profession representatives. For this purpose, in parallel with the performance of original computer tests for the visual working memory identification, which had two levels of complexity, we recorded an electroencephalogram with subsequent coherent and LORETA analysis and electrocardiogram with subsequent determining of stress index of the regulatory systems. It was found that reaction time, as well as the number of errors in both tests, didn`t differ significantly for the two groups. At the same time, the control group had a significantly higher number of θ-band coherent connections in the frontal lobe in both tests, which could indicate a higher level of mental stress and emotional involvement. This assumption was confirmed by the stress index dynamic in the control group. LORETA analysis showed that in the RSO group, the degree of fronto-parietal, cingulo-opercular networks, cuneus and precuneus involvement was at a high level from the very first tasks, while in the control group, it increased with task complexity, that is the evidence of adaptive changes in the working memory of RSO, due to which they successfully cope with information overload.

Keywords: working memory; coherence; neural networks; electroencephalogram; autonomic regulation; information processing; professional selection; variation pulsometry; LORETA.


  1. Bogacz R, Wagenmakers E-J, Forstmann BU, Nieuwenhuis S. The neural basis of the speed-accuracy tradeoff. Trends Neurosci. [Internet]. 2010 Jan;33(1):10-6. CrossRef PubMed
  2. Franconeri SL, Alvarez GA, Cavanagh P. Flexible cognitive resources: competitive content maps for attention and memory. Trends Cogn Sci. 2013 Mar;17(3):134-41. CrossRef PubMed PubMedCentral
  3. Makarenko MV. Role of individual typological properties of higher nervous activity at professional selection. Fiziol Zh. 2001;47(5):3-10.
  4. Yukhymenko L, Makarchuk M, Imas Ye, Shcherbashyn Ya, Korobeynikova L, Korobeynikov G, Dutchak M. Link between brain circulation and nervous mobility of athletes and non-athletes during the orthostatic test. J Phys Educat Sport. 2020;20(6):3660-70.
  5. Kovalenko SO. Heart rate variability. Methodological Aspects. Cherkasy: Bohdan Khmelnitsky Natl Univ of Cherkasy. 2016.
  6. Filimonova N. The computer's express method for the designation of a psychophysiological status of people. In: the 2nd International Sci-Methods Conference Health Culture as an Object of Education. 2000. Kyiv. Ukraine: p. 204-9.
  7. Filimonova NB, Kutsenko TV, Makarchuk MJ. Features of the processing of oral verbal and non-verbal information in the working memory of a person. Phys Liv. 2006;14(3):75-86.
  8. Pascual-Marqui RD, Michel CM, Lehmann D. Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol. 1994;18(1):49-65. CrossRef PubMed
  9. Kulaichev AP. The informativeness of coherence analysis in EEG studies. Neurosci Behav Physiol. 2011;41(3):321. CrossRef
  10. Sharma N, Shenoy S. Association between heart rate variability and executive function performance: Acrosssectional study in adult population. NeuroRegulation. 2023;10(2):78-93. CrossRef
  11. Ku Y, Bodner M, Zhou Y-D. Prefrontal cortex and sensory cortices during working memory: quantity and quality. Neurosci Bull. 2015 Mar 2;31(2):175-82. CrossRef PubMed PubMedCentral
  12. Gevins A, Leong H, Smith ME, Le J, Du R. Mapping cognitive brain function with modern high-resolution electroencephalography. Trends Neurosci. 1995 Oct;18(10):429-36. CrossRef PubMed
  13. Harmony T, Fernández T, Silva J, Bernal J, Díaz-Comas L, Reyes A, et al. EEG delta activity: an indicator of attention to internal processing during performance of mental tasks. Int J Psychophysiol. 1996 Nov 1;24(1):161-71. CrossRef PubMed
  14. Liang W-K, Tseng P, Yeh J-R, Huang NE, Juan C-H. Frontoparietal beta amplitude modulation and its interareal cross-frequency coupling in visual working memory. Neuroscience. 2021;460:69-87. CrossRef PubMed
  15. Nayak S, Tsai AC. Fronto-parietal regions predict transient emotional states in emotion modulated response inhibition via low frequency and beta oscillations. Symmetry. 2022 Jun 15;14(6):1244. CrossRef
  16. Stengel C, Vernet M, Amengual JL, Valero-Cabré A. Causal modulation of right hemisphere fronto-parietal phase synchrony with transcranial magnetic stimulation during a conscious visual detection task. Sci Rep. 2021 Feb 15;11(1). CrossRef PubMed PubMedCentral
  17. Kuriki S, Takeuchi F, Hirata Y. Neural processing of words in the human extrastriate visual cortex. Cogn Brain Res. 1998 Jan;6(3):193-203. CrossRef PubMed
  18. Wallis G, Stokes M, Cousijn H, Woolrich M, Nobre AC. Frontoparietal and cingulo-opercular networks play dissociable roles in control of working memory. J Cogn Neurosci. 2015 Oct;27(10):2019-34. CrossRef PubMed
  19. Bashivan P, Bidelman GM, Yeasin M. Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity. Eur J Neurosci. 2014 Oct 7;40(12):3774-84. CrossRef PubMed
  20. Constantinidis C, Wang X-J. A neural circuit basis for spatial working memory. Neuroscientist. 2004 Dec;10(6):553-65. CrossRef PubMed
  21. Vaden KI, Kuchinsky SE, Cute SL, Ahlstrom JB, Dubno JR, Eckert MA. The cingulo-opercular network provides word-recognition benefit. J Neurosci. 2013 Nov 27;33(48):18979-86. CrossRef PubMed PubMedCentral
  22. Madden MB, Stewart BW, White MG, Krimmel SR, Qadir H, Barrett FS, et al. A role for the claustrum in cognitive control. Trends Cogn Sci. 2022 Dec;26(12):1133-52. CrossRef PubMed PubMedCentral
  23. Klingberg T, O'Sullivan BT, Roland PE. Bilateral activation of fronto-parietal networks by incrementing demand in a working memory task. Cerebr Cortex. 1997 Jul 1;7(5):465-71. CrossRef PubMed
  24. Opitz B, Schneiders JA, Krick CM, Mecklinger A. Selective transfer of visual working memory training on Chinese character learning. Neuropsychologia. 2014 Jan;53:1-11. CrossRef PubMed
  25. Bremner JD, Campanella C, Khan Z, Shah M, Hammadah M, Wilmot K, et al. Brain correlates of mental stress-induced myocardial ischemia. Psychosom Med. 2018;80(6):515-25. CrossRef PubMed PubMedCentral

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