USE OF TECHNOLOGIES OF HIGHER NERVOUS ACTIVITY AND PSYCHO-PHYSIOLOGICAL HUMAN FUNCTIONS STUDYING IN EXTREME CONDITIONS BILOSHITSKY P.V., KLYUCHKO O.M., KRAVCHENKO Yu. V., MAKARENKO M. V., LYMAN K.S., LIZUNOVA A. G.

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ISSN 2410-7751 (Print)
ISSN 2410-776X (Online)

cover biotech acta general Biotechnologia Acta Т. 17, No. 4 2024
P. 5-23, Bibliography 62, Engl.
UDC: 004.9:612.822
doi: https://doi.org/10.15407/biotech17.04.005

Full text: (PDF, in English)

USE OF TECHNOLOGIES OF HIGHER NERVOUS ACTIVITY AND PSYCHO-PHYSIOLOGICAL HUMAN FUNCTIONS STUDYING IN EXTREME CONDITIONS

P.V. Biloshitsky ¹ , O.M. Klyuchko ², Yu. V. Kravchenko ³, M. V. Makarenko ³, K.S. Lyman ⁴, A. G. Lizunova ⁵

¹ Tychyny Uman State pedagogical university, Ukraine
² National Aviation University, Kyiv, Ukraine
³ Bogomoletz Institute of Physiology of the National Academy of Sciences, Kyiv, Ukraine
⁴ Washington State University, USA
⁵ Luxoft Global Operations GmbH: Zug, CH, USA

Applied techniques and some results of studies the higher nervous activity (HNA) of the people, their psychophysiological functions (PFF) by Ukrainian scientists and doctors were described, as well as influences of extreme conditions on HNA.

Aim. Results of the influence of extreme mountain conditions at high altitudes (hypoxia, etc.) demonstration and further research of changes in the psychophysiological functions of the brain under these conditions; description of the developed methods of professional selection.

Methods. Comparative analysis of a large number of the data from experiments and observations. Physical, mathematical, program modeling. Methods of HNA, brain research: electroencephalography, diagnosis of personal neurodynamic features, etc. Three methods of PFF research: parameters of the neurodynamic level, parameters of the neuropsychological level, and personal specifics. The adapted questionnaire scheme (QS) based on Cattell's 16-factor personality tests was applied.

Results. The influence of hypoxia and other factors of mountain conditions on HNA were studied deeply. The results were presented. Also, there were presented results of registered changes of EEG in such extreme conditions. The influence of a number of stress factors in extreme conditions (hypoxia, etc.) has been demonstrated. Some basic methods of HNA researches used in such conditions were described as well as results of investigations of individual typological features of the nervous systems were presented. Methods for human psychophysiological functions studying were described. Studies of human personal characteristics were described in details. Data recorded by the PNN-3 device were taken for the diagnosis of personal neurodynamic features. The parameters of the neuropsychological level were determined using the following methods: "triangles" (the level of development of short-term visual memory), "instrument scales" (working memory, attention functions, etc.), and "red and black tables" (allocation and switching of attention). Personality structures, features, and types of behavior of operators in stressful situations were estimated basing on adapted QS by Cattell. Mathematical models of the reliability of human nervous system functioning under extreme conditions were developed.

Conclusions. The obtained results were taken as the basis for the developed professional selection methods for special contingents, pilots, operators, etc. Physical, mathematical, and program models of the reliability of the human nervous system functioning in these conditions were proposed.

Key words: higher nervous activity, psychophysiological functions, extreme conditions, high altitudes, professional selection.

Reerences

1. Bellmund J.L.S., Gardenfors P., Moser E. I., Doeller C.F. Navigating cognition: Spatial codes for human thinking. 2018, 362. eeat6766.
2. Angeloni D. , Demontis G.C.Endocrine adaptations across physical and psychological stressors in long-term space flights. Opin. Endocr. Metab. Res., 2020, 11: 21-26
3. Ayzenberg, A. Torus action on quaternionic projective plane and related spaces. 2019, arXiv 2019, arXiv:1903.03460.
4. Li Y., Wang H. Almost periodic synchronization of quaternion-valued shunting inhibitory cellular neural networks with mixed delays via state-feedback control. PLoS ONE. 2018, 13: e0198297.
5. Fingelkurts A. A., Fingelkurts, A. A., Neves C.F.H. Natural world physical, brain operational, and mind phenomenal space-time. Life Rev. 2010, 7: 195–249.
6. Jirsa V.K., Stacey W.C., Quilichini P.P., Ivanov A.I., Bernard C. On the nature of seizure dynamics. 2014, 137 Pt 8, 2210–2230.
7. Fruchart M., Zhou Y., Vitelli V. Dualities and non-Abelian mechanics. Nature. 2020, 577: 636–640.
8. Oliveros-Muñoz J.M., Jiménez-Islas H. Hyperspherical path tracking methodology as correction step in homotopic continuation methods. Eng. Sci. 2013, 97: 413–429. [Google Scholar] [CrossRef]
9. Reimann M.W., Nolte M., Scolamiero M., Turner K., Perin R., Chindemi G., Dłotko P., Levi R., Hess K., Markram H. Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Comput. Neurosci.2017, 11: 48.
10. Peters J.F., Ramanna S., Tozzi A., İnan E. Bold-Independent Computational Entropy Assesses Functional Donut-Like Structures in Brain fMRI Images. Hum. Neurosci.2017, 11: 38.
11. Johnson N. A Visualization of the Hopf Fibration. 2015. Available online:https://nilesjohnson.net/hopf.html(accessed on 22 September 2020).
12. Hosny K.M., Khedr Y.M., Khedr W.I., Mohamed E.R. Robust Color Image Hashing Using Quaternion Polar Complex Exponential Transform for Image Authentication. Circuits Syst. Signal Process. 2018, 37: 5441–5462.
13. von Wegner F. Partial Autoinformation to Characterize Symbolic Sequences. Front. 2018, 9: 1382.
14. Hart V., Segerman H. The Quaternion Group as a Symmetry Group. 2014, arXiv 2014, arXiv:1404.6596v1.
15. Hopf H.Collected Papers/Gesammelte Abhandlungen; Springer: Berlin, Germany; New York, NY, USA,
16. Lohse M., Schweizer C., Price H.M., Zilberberg O., Bloch I. Exploring 4D quantum Hall physics with a 2D topological charge pump. 2018, 553: 55–58.
17. Daohui Zhao, Jian Zhou. Electrostaticsmediated α-chymotrypsin inhibition by functionalized single-walled carbon nanotubes. Physical Chemistry Chemical2017, 19 (2): 986–995. https://doi.org/10.1039/C6CP04962A
18. Li X., Coffield J.A. Structural and Functional Interactions between Transient Receptor Potential Vanilloid Subfamily1 and Botulinum Neurotoxin SerotypeA. PLoS ONE. 2016, 11(1) e0143024. https://doi.org/10.1371/journal.pone.0143024
19. Samoshkin A., Convertino M., Viet C.,Wieskopf J.S., Kambur O., Marcovitz J., Patel P., Stone L.S., Kalso E., Mogil J.S., Schmidt B.L., Maixner W., Dokholyan N.V., Diatchenko L. Structural and functional interactions between six-transmembrane μ-opioid receptors and b2-adrenoreceptors modulate opioid signaling. Sci Rep. 2016, 5, 18198. https://doi.org/10.1038/srep18198
20. Zisimopoulos S., Seidel M., Lai F.,Zissimopoulos S. Structural and functional interactions within ryanodine receptor. Biochemical Society Transactions. 2015, 43 (3):377–383. https://doi.org/10.1042/BST20140292
21. Hanson A.J., Thakur S. Quaternion maps of global protein structure. Mol. Graph. Model.2012, 38:256–278.
22. Tozzi A., Peters J.F. Towards a Fourth Spatial Dimension of Brain Activity. Neurodyn.2016, 10: 189–199.
23. Ozdemir, F.; Özekes, H. On the Homomorphisms of the Lie Groups SU(2) and S3. Abstr. Appl. Anal. 2013, 2: 1–5.
24. Tozzi A. The multidimensional brain. Life Rev.2019, 31:86–103.
25. Friston, K. The Emperor’s new topology: Comment on “Topodynamics of metastable brains” by Arturo Tozzi et al. Life Rev. 2017, 21: 26–28.
26. Tozzi A., Ahmad M.Z., Peters J.F. Neural computing in four spatial dimensions. Neurodyn.2020.
27. Zilberberg O., Huang S., Guglielmon J., Wang M., Chen K. P., Kraus Y. E., Rechtsman M. C. Photonic topological boundary pumping as a probe of 4D quantum Hall physics. 2018, 553: 59–62.
28. Di Concilio A., Guadagni C., Peters J.F., Ramanna S. Descriptive proximities, properties and interplay between classical proximities and overlap. Comp. Sci.2018, 12: 91–106.
29. Peters J.F.Computational Geometry, Topology and Physics of Digital Images with Applications. Shape Complexes, Optical Vortex Nerves and Proximities. Springer Nature: Cham, Switzerland, 2020; p. xxv+440.
30. Barkaszi I., Takács E., Czigler I., Balázs L. Extreme environment effects on cognitive functions: a longitudinal study in high altitude in Antarctica. Hum. Neurosci. 2016, 10: 331, 10.3389/fnhum.2016.00331
31. de Arcangelis L., Herrmann H.J. Learning as a phenomenon occurring in a critical state. Natl. Acad. Sci. USA2010, 107: 3977–3981.
32. Davis J., Stepanak J., Fogarty J., Blue R. Fundamentals of Aerospace Medicine (fourth ed.), Lippincott Williams & Wilkins,2021
33. Cohen I., den Braber N. , Smets N. J. J. M. , van Diggelen J. , Brinkman W.-P., Neerincx M.A. Work content influences on cognitive task load, emotional state and performance during a simulated 520-days' Mars mission. Hum. Behav.,55 (Part B). 2016, 642-652, 10.1016/j.chb.2015.10.011
34. Basner M., Savitt A., Moore T.M., Port A.M., McGuire S., Ecker A.J. , Nasrini J., Mollicone D.J., Mott C.M., McCann T., Dinges D.F., Gur R.C.. Development and validation of the cognition test battery for spaceflight. Med. Hum. Perform. 2015, 86: 942-952, 10.3357/AMHP.4343.2015
35. Badran B.W. , Caulfield K.A. , Cox C., Lopez J.W. , Borckardt J.J., DeVries W.H., Summers P., Kerns S., Hanlon C.A., McTeague L.M., George M.S., Roberts D.R. Brain stimulation in zero gravity: transcranial magnetic stimulation (TMS) motor threshold decreases during zero gravity induced by parabolic flight. NPJ Microgravity.2020, 6:26. 1038/s41526-020-00116-6
36. Cunha C.E.X., Oliveira A.F., Dantas G.F.G., Castro L.R., Vitor de Omena Jucá J., Vieira G.C.F., Ribeiro M.V.M.R.. Neuropsychiatric aspects of the space missions: scientific overview of the last 15 years. Physiol. Med. Rehabil. J.2021, 6 (1): 4-9, 10.15406/ipmrj.2021.06.00270
37. Bishop S.L.. From earth analogues to space: learning how to boldly go. In: On orbit and beyond, 2013, 25-50.
38. Bloomberg J., Reschke M., Clément G., Mulavara A., Taylor L.C.. Evidence Report: Risk of Impaired Control of Spacecraft/Associated Systems and Decreased Mobility Due to Vestibular/Sensorimotor Alterations Associated with Space flight NASA Johnson Space Center. 2015.
39. Bloomberg J.J., Peters B.T., Cohen H.S., Mulavara A.P. Enhancing astronaut performance using sensorimotor adaptability training, Syst. Neurosci., 2015, 9: 129. 10.3389/fnsys.2015.00129.
40. Botella C., Baños R.M., Etchemendy E., García-Palacios A., Alcañiz M. Psychological countermeasures in manned space missions: “EARTH” system for the Mars-500 project. Hum. Behav., 2016, 55: 898-908.
41. Brainard G.C., Barger L.K., Soler R.R., Hanifin J.P.The development of lighting countermeasures for sleep disruption and circadian misalignment during spaceflight. Opin. Pulm. Med.,2016, 22 (6): 535-544, 10.1097/MCP.0000000000000329.
42. Clément G.R., Boyle R.D., George K.A., Nelson G.A., Reschke M.F., Williams T.J., Paloski W.H. Challenges to the central nervous system during human spaceflight missions to Mars. Neurophysiol., 2020, 123: 2037-2063, 10.1152/jn.00476.2019
43. Beloshitsky P.V. Chronicle of biomedical research in Elbrus region (1929 - 2006). Kyiv: Ukrainian Academy of Sciences. 2014, 550 p. (In Ukrainian)
44. Klyuchko O.M., Lizunov G.V., Beloshitsky P.V. Radiation and hypoxia studies: effects of high-energy atmospheric particles on biological organisms and possibilities of their rehabilitations. Biotechnologia Acta. 2023, 16(6): 48–68. https://doi.org/10.15407/biotech16.06.034
45. Klyuchko O.M., Lizunov G.V., Beloshitsky P.V. Radiation phenomena: some natural sources, mechanisms of effects, ways of biological organisms protection and rehabilitation. Biotechnologia Acta. 2023, 16(3): 24–44. https://doi.org/10.15407/biotech16.03.024
46. Lizunov G.V., Klyuchko O.M. Health information system: radiation monitoring at altitudes above the Earth and the concept of information. DigiHealthDay2023Symposium, Deggendorf Institute of Technology, Pfarrkirchen, Germany,9-10.11.2023.
47. Biloshitsky P.V., Klyuchko O.M., Onopchuk YuM. Results of research of hypoxia problems by Ukrainian scientists in Elbrus region. Bulletin of NAU. 2007, (3-4):44-50 (In Ukrainian)
48. Onopchuk Yu. M., Aralova N. I., Beloshitsky V., Klyuchko O. M. Mathematic models and integral estimation of organism systems reliability in extreme conditions. Electronics and Control Systems. 2015, 46(4):109–115. https://doi.org/10.18372/1990-5548.46.9978
49. Onopchuk M.,Beloshitsky P.V., Klyuchko O. M. Development of mathematical models based on the results of researches of Ukrainian scientists at Elbrus. Bulletin of NAU. 2008, 3: 146-155 (In Ukrainian)
50. Aralova N.I., Klyuchko O.M., Mashkin V.I., Mashkina I.V. Mathematic and program models for investigation of reliability of operator professional activity for “Human-Machine” systems. Electronics and Control Systems.2017,51(1): 105–113.
51. Aralova N.I., Klyuchko O.M., Mashkin V.I., Mashkina I.V. Mathematical model for research of organism restoring for operators of continuously interacted systems. Electronics and Control Systems. 2016, 49(3):100–105.
52. Klyuchko O.M., Tsal-Tsalko V.I. Device and software for testing and training of human visual memory on the base of ATmega32 microcontroller. Electronics and Control Systems. 2013, 36 (2): 75–83.
53. Batres-Mendoza P., Montoro-Sanjose C.R., Guerra-Hernandez E.I., Almanza-Ojeda D.L., Rostro-Gonzalez H., Romero-Troncoso R.J., Ibarra-Manzano M.A. Quaternion-Based Signal Analysis for Motor Imagery Classification from Electroencephalographic Signals. 2016, 16: 336.
54. Enshaeifar S., Kouchaki S., Took C.C., Sanei S. Quaternion Singular Spectrum Analysis of Electroencephalogram with Application in Sleep Analysis. IEEE Trans. Neural Syst. Rehabil. Eng. 2016, 24: 57–67.
55. Pritchard W.S. The brain in fractal time: 1/f-like power spectrum scaling of the human electroencephalogram. J. Neurosci. 1992, 66: 119–129.
56. Van de Ville D., Britz J., Michel C.M. EEG microstate sequences in healthy humans at rest reveal scale-free dynamics. Natl. Acad. Sci. USA2010, 107: 18179–18184.
57. von Wegner F., Laufs H., Tagliazucchi E. Mutual information identifies spurious Hurst phenomena in resting state EEG and fMRI data. Rev. E 2018, 97, 022415.
58. Chariker L., Shapley R., Young L.-S. Rhythm and Synchrony in a Cortical Network Model. J. Neurosci. 2018, 38: 8621–8634.
59. Buzsáki G., Watson B.O. Brain rhythms and neural syntax: Implications for efficient coding of cognitive content and neuropsychiatric disease. Dialogues Clin. Neurosci. 2012, 4: 345–367.
60. Individual differences in adaptability to isolated, confined, and extreme environments. Med. Hum. Perform. 2018, 89 (6): 536-546, 10.3357/AMHP.4951.2018
61. Barger L.K., Sullivan J.P., Lockley S.W., Czeisler C.A. Exposure to short wavelength-enriched white light and exercise improves alertness and performance in operational NASA flight controllers working overnight shifts. Occup. Environ. Med., 2021, 63(2): 111-118, 10.1097/JOM.0000000000002054.
62. Brasher K.S., Sparshott K.F., Weir A.B., Day A.J., Bridger R.S. Two-year follow-up study of stressors and occupational stress in submariners. Med., 2012, 62 (7): 563-565, 10.1093/occmed/kqs104.