Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-25T10:04:45.688Z Has data issue: false hasContentIssue false
  • English
  • Français

Electroencephalographic Evidence on the Strategies of Adaptation to the Factors of Monotony

Published online by Cambridge University Press:  10 January 2013

Elena V. Aslanyan  and
Valery N. Kiroy
Elena V. Aslanyan*
Affiliation:
Rostov State University (Russia)
Valery N. Kiroy*
Affiliation:
Rostov State University (Russia)
*
Correspondence concerning this article should be addressed to Elena V. Aslanyan, email: [email protected] and Dr. Valery N. Kiroy, email: [email protected], A.B. Kogan Research Institute for Neurocybernetics (KRINC) Rostov State University, Stachka Ave. 194/1, 344090 Rostov-on-Don, Russian Federation, tel. +7(863)2–43–32–76.
Correspondence concerning this article should be addressed to Elena V. Aslanyan, email: [email protected] and Dr. Valery N. Kiroy, email: [email protected], A.B. Kogan Research Institute for Neurocybernetics (KRINC) Rostov State University, Stachka Ave. 194/1, 344090 Rostov-on-Don, Russian Federation, tel. +7(863)2–43–32–76.
Get access Rights & Permissions [Opens in a new window]

Abstract

In a series of studies, in which 19 apparently healthy male volunteers participated, on the basis of a comparative analysis of the bioelectric brain activity and work performance, it is shown that two strategies of adaptation to the factors of monotony are possible. One of them is based on the maintenance of a high quality of activity even at the price of a considerable reduction in the functional state of the brain; the second is based on the maintenance of the functional status of the brain even at the expense of the short-term loss of control over realizable performance. The factor conditioning the long term inability to support continual high quality of performance under the conditions of monotony is a high lability in nervous processes. The resistance to the effects of the factors of monotony is connected, on the other hand, with the low lability of nervous processes with a certain predominance of excitatory processes over inhibiting processes. The electrographic correlates of the development of the state of monotony represent an increase in the EEG of an alert person of the slow spectra (theta and alpha), and also beta-2 waves, as well as a reduction in the intrahemispheric coherence of alpha-waves. These results can be used for the development of control systems for the state of the operators who work in conditions of monotony (pilots, the operators of electric trains, the operators of power plants, including atomic power plants, and others), as well as in the occupational selection of individuals for jobs involving work under such conditions.

Sobre la base de un análisis comparativo de la actividad bioeléctrica del cerebro y del rendimiento en el trabajo, se mostró en una serie de estudios en los que participaaron voluntarios masculinos aparentemente sanos que es posible tener dos estrategies de adaptación a los factores de la monotonía. Una de ellas se basa en el mantenimiento de una alta calidad de la actividad, incluso a costa de una considerable reducción en el estado funciónal del cerebro; la segunda. se basa en el mantenimiento del estado funcional del cerebro, incluso a costa de una pérdida de control a corto plazo del rendimiento posible. El factor que condiciona la incapacidad a largo plazo de soportar la alta calidad continua del rendimiento bajo condiciones de monotonía es una alta labilidad en los procesos nerviosos. La resistencia a los efectos de los factores de la monotonía se relaciona, por otro lado, con la baja labilidad de los procesos nerviosos con cierto predominio de procesos excitatorios sobre los procesos de inhibición. Los correlatos electrográficos del desarrollo del estado de monotonía representan un aumento en el EEG de una persona alerta de las ondas lentas (zeta y alfa), y también las ondas beta-2, además de la reducción en la coherencia intrahemisférica de las ondas-alfa. Estos resultados pueden utilizarse para el desarrollo de sistemas de control para el estado de operadores que trabajen en condiciones de monotonía (pilotos, conductores de trenes eléctricos, operadores de centrales eléctricas, incluyendo centrales nucleares, y otros), además de en la selección de individuos para puestos de trabajo en dichas condiciones.

Keywords

electroencephalographymonotonypower spectracoherence spectraelectroencefalografíamonotoníaespectro de potenciaespectro de coherencia
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 12 , Issue 1 , May 2009 , pp. 32 - 45
Copyright
Copyright © Cambridge University Press 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Asvaduryan, A. A. (1991). Issledovanie vzaimosviazi psikhologicheskikh, nadezhnykh i elektroentsefalograficheskikh kharakteristik cheloveka-operatora [Study of the relations between psychological, reliable and electroencephalographical characteristics of the operators]. Avtoreferat dissertatsiy kandidata biologicheskikh nauk, Rostov-na-Donu.Google Scholar
Bodnar, E. L., Zarakovsky, G. M., & Chaynova, L. D. (1999). Motivatsiya kak factor formirovaniya funktsional'nogo sostoianiya napriazhennosti operatora [Motivation as a factor of functional state formation of an operator's intensity]. Fiziologiya cheloveka, 25(3), 71–78.Google Scholar
Dikaya, L. G., Shapkin, S. A., & Gusev, A. N. (1992). Osobennosti adaptatsiy operatorov k asomniy: analiz dinamiki biopotentsialov mozga i povedencheskikh pokazateley [Peculiarities of operators' adaptation to asomnia: analysis of the dynamics of the brain's vitality and behavioral indicators]. Fiziologiya cheloveka, 18(1), 42–50.Google Scholar
Falkenstein, M., Hohnsbein, J., & Hoormann, J. (1994). Effects of choice complexity on different subcomponents of the late positive complex of the event–related potential. Electroencephalography and Clinical Neurophisiology, 92, 2, 148–160.CrossRefGoogle ScholarPubMed
Gulyakov, M. B. (2000). Korkovo-podkorkov'e mekhanizmy priniatiya resheniya i korrektsiya ikh funktsional'nogo narusheniya [Cortex-subcortical mechanisms of decision-making and correction of their functional disorder]. XXX Vserossiyskoe soveshchianie po problemam vysshey nervnoy deyatel'nosti. Tezisy dokladov, t. 1, Sankt-Peterburg.Google Scholar
Ivashchenko, I. O., Berus, A. V., Zhuravlev, A. B., & Myamlin, V. V. (1999). Individual'no-tipologicheskie osobennosti bazovykh svoystv lichnosti v norme i ikh EEG-korreliatsiy [Individual and typological peculiarities of basic characteristics of personality in the norm and their EEG-correlation]. Fiziologiya cheloveka, 25(2), 46–55.Google Scholar
Kaplan, A. Ia. (1998). Nestatsionarnost EEG: metodicheskiy i experimental'niy analiz [Non-steady EEG: methodical and experimental analysis]. Uspekhi fiziologicheskikh nauk, 29(3), 35–55.Google Scholar
Khomskaya, E. D. (1972). Mozg i aktivatsiya [Brain and activation]. Moskva: Izdatel'stvo MGU.Google Scholar
Kiroy, V. N., & Aslanyan, E. V. (2006). Individual'naya ustoychivost' k deystviyu factorov monotoniy i ee otrazhenie v EEG [Individual resistance to the exposure to the factors of monotony reflected in the EEG]. Zhurnal vysshey nervnoy deiatel'nosti, 56, 1, 5, 38–46.Google Scholar
Kiroy, V. N., & Belova, E. I. (2000) Mekhanizmy formirovaniya i rol' ostsiliatornoy aktivnosti neronnykh populiatsiy v sistemnoy deiatel'nosti mozga [Mechanisms of formation and the role of oscillatory activity of neuronal populations in brain's systemic activity]. Zhurnal vysshey nervnoy deiatel'nosti, 50(2), 179–191.Google Scholar
Kiroy, V. N., & Chorayan, O. G. (2000) K teorii neyronnykh ansambley mozga [To theory of brain's neuronal ensembles]. Uspehi fiziologicheskikh nauk, 31(2), 23–39.Google Scholar
Kiroy, V.N., Warsawskaya, L. V., & Voynov, V. B. (1996). EEG after prolonged mental activity. International Journal of Neuroscience, 85, 31–40.CrossRefGoogle ScholarPubMed
Luriya, A. R. (1973). Osnovy neyropsikhologiy [Neurophysiology's basics]. Moskva: Izdatel'stvo MGU.Google Scholar
Makarenko, N. V. (1989). Vremia slozhnoy sensomotornoy reaktsiy vybora u lits s razlichnoy funktsional'noy podvizhnost'iu nervnykh protsessov [Time of complex sensomotoric choice reaction of people with different functional mobility of neural processes]. Zhurnal vysshey nervnoy deiatel'nosti, 34(5), 813–818.Google Scholar
Makarenko, N. V., Voronovskaya, V.I., Kovtun, T. V., & Panshenko, V. M. (1992). Elektroentsefalograficheskie korreliatsiy vremennykh kharakteristik prostykh sensornykh reaktsyi u liudey s raznym urovnem funktsional'noy podvizhnosti nervnykh protsessov [Electroencephalographic correlations of temporary characteristics of simple sensomotoric reactions with the people with different levels of functional mobility of neural processes]. Fiziologiya cheloveka, 18(3), 33–41.Google Scholar
Malakhov, N. S. (1988). Znachenie svoystv lichnosti v fiziologicheskom normirovaniy trudovoy deiatel'nosti [The significance of personal characteristics in the physiological control of the labour activity]. V sbornike: Fiziologicheskoe normirovanie trudovoy deiatel'nosti, Leningrad: Nauka.Google Scholar
Mizuki, Y. (1982) Frontal midline theta activity during performance of mental tasks. Electroencephalography and Clinical Neurophysiology, 54(3), 25–30.Google Scholar
Muller, M. M., Junghofer, M., Elbert, T., & Rochstroh, B. (1997) Visually induced gamma-band responses to coherent and incoherent motion: a replication study. NeuroReport, 8(11), 2575–2579.CrossRefGoogle Scholar
Ryabchikova, N. A., Podyacheva, E. V., & Ghulgovsky, V. V. (2001). Psikhofiziologicheskie osobennosti ispytuemykh s raznoy effektivnost'iu veroiatnostno-prognosticheskoy deiatel'nosti [Psycophysiological characteristics of tested people with different eficiency of probabilistic-forecasting activity]. Zhurnal vysshey nervnoy deiatel'nosti, 51(5), 552–557.Google Scholar
Rodriguez, E., George, N., Lachaux, J.-Ph., Martinerie, J., Renault, B., & Varela, F.J. (1999). Perception's shadow: long-distance synchronization of human brain activity. Nature, 397, 430–433.CrossRefGoogle ScholarPubMed
Rozhdestvenskaya, V. I. (1980). Individual'nye razlichiya rabotosposobnosti: psikhofiziologicheskie issledovaniya rabotosposobnosti v usloviyakh monotonnoy deiatel'nosti [Individual diversities of work performance: psychophysiological research of work performance under the conditions of monotonous activity] Moskva: Pedagogika.Google Scholar
Rusalov, V. M., Rusalova, M. N., Kalashnikova, I. G., Stepanov, V. G., & Strel'nikova, T. N. (1993). Bioelektricheskaya aktivnost' mozga cheloveka u predstaviteley razlichnykh tipov temperamenta [Bioelectrical activity of the human brain of people with different types of temperament]. Zhurnal vysshey nervnoy deiatel'nosti, 43(3), 530–542.Google Scholar
Tallon-Baudry, C., & Bertrand, O. (1997). Oscillatory _ – band (30 – 70 Hz) activity induced by visual seach task in humans. Journal of Neuroscience, 17(2), 722–734.CrossRefGoogle Scholar
Shevyakov, A. V. (2005) Psikhofiziologicheskie kharakteristiki deiatel'nosti operatorov AES kak factor avariynosti [Psychophysiological characteristics of nuclear power station operators as a factor in accident rate ]. Fiziologiya cheloveka, 31(5), 135–141.Google Scholar
Yatsenko, M. V., & Kaigorodova, N. Z. (1998). EEG-korreliatsiy individual'no-tipologicheskikh osobennostey cheloveka [EEG-correlations of individual-typological characteristics of a person]. Materialy XVII s'iezda fiziologov Rossiy, Rostov-na-Donu.Google Scholar