title: Electroencephalographic evidence on the strategies of adaptation to the factors of monotony.
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.
authors.affiliation: A.B. Kogan Research Institute for Neurocybernetics (KRINC), Rostov State University, Russia. asl.elena@gmail.com
authors.forename: Elena V
authors.initials: EV
authors.lastname: Aslanyan
authors.forename: Valery N
authors.initials: VN
authors.lastname: Kiroy
mesh_terms: D000222:Adaptation, Physiological; D000328:Adult; D000513:Alpha Rhythm / Q000706:statistics & numerical data; D001288:Attention / Q000502:physiology; D001611:Beta Rhythm; D001887:Boredom; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology; D004569:Electroencephalography / Q000706:statistics & numerical data*; D007839:Functional Laterality / Q000502:physiology; D006801:Humans; D008297:Male; D011930:Reaction Time / Q000502:physiology; D012146:Rest / Q000502:physiology; D013647:Task Performance and Analysis; D013826:Theta Rhythm / Q000706:statistics & numerical data; D014851:Wakefulness / Q000502:physiology*; D014937:Work / Q000502:physiology