Human Physiology

, Volume 43, Issue 7, pp 741–747 | Cite as

Human Neurophysiological State in Long-term Isolation

  • A. A. Kovaleva
  • M. A. Skedina
  • M. G. Potapov


During 520-day isolation in a confined space as an imitation of a long-term interplanetary flight, the neurofunctional condition of six crew members was examined using synchronous recording of electrical ( electroencephalogram) and energy (constant potential level) activities of the brain. Two background studies made it possible to predict high adaptability level of all crewmembers and low probability of adaptation reserve depletion in the course of the experiment. During isolation, the dynamics of neurofunctional correlates of cerebral activity generally corresponded to factors to which the crew was subjected during its activity. During the events significant for the crew, we observed physiological reactions in both metabolic and electrical activities of the brain. During the 54th week, the state of physiological adaptation of the crew to the experimental environment was observed, which was expressed in decreases in constant potential level (CPL), without interhemispheric asymmetry, and absolute α-power value. Throughout the experiment, none of crewmembers exhibited distinct stress reaction signs (α-activity asymmetry accompanied by a significant CPL decrease), which confirmed our prediction of a low probability of adaptation reserve depletion in the participants of the 520-day isolation study.


isolation constant potential level electroencephalogram stress reaction α-rhythm topography 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Sviderskaya, N.E. and Korol’kova, T.A., Influence of properties of nervous system and temperament on the EEG spatial organization, Zh. Vyssh. Nervn. Deyat. im. I.P. Pavlova, 1996, vol. 46, no. 5, pp. 857–858.Google Scholar
  2. 2.
    Boldyreva, G.N., Sharova, E.V., and Dobronravova, I.S., The role of cerebral regulatory structures in the formation of human EEG, Hum. Physiol., 2000, vol. 26, no. 5, pp. 523–536.CrossRefGoogle Scholar
  3. 3.
    Kiroi, V.N., Fiziologicheskie metody v spikhologii: uchebnoe posobie (Physiological Methods in Psychology: Manual), Rostov-on-Don: Rostov. Gos. Univ., 2003.Google Scholar
  4. 4.
    Fokin V.F. and Ponomareva, N.V., Energeticheskaya fiziologiya mozga (Energetic Physiology of Brain), Moscow: Antidor, 2003.Google Scholar
  5. 5.
    Ilyukhina, V.A. and Zabolotskikh, I.B., Energodifitsitnye sostoyaniya zdorovogo i bol’nogo mozga cheloveka (Energy-Deficient Conditions of a Healthy and Sore Brain of a Man), St. Petersburg: Nauka, 1993.Google Scholar
  6. 6.
    Bodrov, V.A. and Fedoruk, A.G., Research of functional asymmetry of paired organs of flight personnel, Voen.-Med. Zh., 1985, no. 7, pp. 50–53.Google Scholar
  7. 7.
    Khomskaya, E.D., Efimova, I.V., and Sirotkin, E.B., Hemispheric asymmetry and random regulation of intellectual activity, Vopr. Psikhol., 1988, no. 12, pp. 147–152.Google Scholar
  8. 8.
    Kozerenko, O.P. and Kholland, A.V., Psychological support of crews, in Kosmicheskaya biologiya i meditsina. Tom 4. Zdorov’e, rabotosposobnost’, bezopasnost’ kosmicheskikh ekipazhei (Space Biology and Medicine, Vol. 4: Health, Work Performance, and Safety of Space Crews), Moscow: Nauka, 2001, pp. 310–324.Google Scholar
  9. 9.
    Potapov, M.G., Dotsenko, V.I., et al., Neurophysiologic mechanisms of change of a psychophysiological condition of the person in 105-day isolation in containment, Aviakosm. Ekol. Med., 2010, vol. 44, no. 6, pp. 62–64.Google Scholar
  10. 10.
    Grigor’ev, A.I., Ushakov, I.B., and Morukov, B.V., The first results of the Mars-500 International mega-experiment, Pilotiruemye Polety Kosmos, 2012, no. 1 (3), pp. 5–14.Google Scholar
  11. 11.
    Dotsenko, V.I., Potapov, M.G., Skedina, M.A., and Klishin, G.Yu., Effect of dynamically operated illumination environment on brain neurophysiological indicators, Vestn. Vosstanov. Med., 2010, no. 6, pp. 40–44.Google Scholar
  12. 12.
    Egorova, I.S., Elektroentsefalografiya (Electroencephalography), Moscow: Meditsina, 1973.Google Scholar
  13. 13.
    Jap, B.T., Lal, S., Fischer, P., and Bekiaris, E., Using EEG spectral components to assess algorithms for detecting fatigue, Part 1, Exp. Syst. Appl., 2009, vol. 36, no. 2, pp. 2352–2359.CrossRefGoogle Scholar
  14. 14.
    Borghini, G., Astolfi, L., et al., Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness, Neurosci. Biobehav. Rev., 2014, vol. 44, pp. 58–75.CrossRefPubMedGoogle Scholar
  15. 15.
    Funktsional’naya mezhpolusharnaya asimmetriya: Khrestomatiya (Functional Hemispheric Asymmetry: Anthology), Bogolepov, N.N. and Fokin, V.F., Eds., Moscow: Nauchnyi Mir, 2004.Google Scholar

Copyright information

© Pleiades Publishing, Inc. 2017

Authors and Affiliations

  • A. A. Kovaleva
    • 1
  • M. A. Skedina
    • 1
  • M. G. Potapov
    • 1
  1. 1.Institute of Biomedical ProblemsRussian Academy of SciencesMoscowRussia

Personalised recommendations