ELECTROPHYSOLOGICAL EVALUATION OF MECHANISMS OF MILITARY-PROFESSIONAL ADAPTATION



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Abstract

The aim of our work is theoretical substantiation of application of electroencephalographic method (EEG) in the evaluation of cognitive functions as indirect indicators of the adaptive homeostatic subsystem status and functional reserves of the individual. The review includes the application of EEG in the professional psychological selection, screening of the functional status and the study of cognitive functions among servicemen and specialists of the law enforcement agencies. We write about physiological mechanisms of functional status and cognitive functions in the norm, stress, pathology. We analyze studies of fractal, stochastic parameters of EEG. We propose to include EEG into cross-validation studies that will be included into the modern methodical apparatus of psychodiagnostics.

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About the authors

K I Pavlov

N.G. Kuznetsov Naval Academy

V N Mukhin

Institute of Experimental Medicine

A V Syrtsev

N.G. Kuznetsov Naval Academy

A N Archimuk

N.G. Kuznetsov Naval Academy

V N Sysoev

S.M. Kirov Military Medical Academy

M I Petrenko

N.G. Kuznetsov Naval Academy

References

  1. Сысоев В.Н., Ганапольский В.П., Мясников А.А., Благинин А.А., Сильников М.В., Шабанов П.Д. Физиология военного труда: Учебное пособие. СПб.: Любавич, 2011. 456с. [Sysoev V.N., Ganapolsky V.P., Myasnikov A.A., Blaginin A.A., Silnikov M.V., Shabanov P.D. Physiology of military labor: Textbook. St. Petersburg: Lubavitch, 2011. 456 p.]
  2. Rudnyĭ N.M, Bodrov V.A. Current problems in aviation physiology // Kosm. Biol. Aviakosm. Med. 1987. Vol. 21, No 1. P. 4-11.
  3. Zifkin B.G. The electroencephalogram as a screening tool in pilot applicants // Epilepsy Behav. 2005. Vol. 6, No 1. P. 17-20.
  4. Korobeinikova I.I., Dudnik E.N., Barak O., Filippovich D., Gruich N., Lazhetich B., Sudakov K.V. Physiological characteristics of system quanta of athletic performance // Fiziol Cheloveka. 2007. Vol. 33, No 4. P. 473-480.
  5. Todnem K., Nyland H., Riise T., Kambestad B.K., Vaernes R., Hjelle J.O., Svihus R., Aarli J.A. Analysis of neurologic symptoms in deep diving: implications for selection of divers // Undersea Biomed Res. 1990. Vol. 17, No 2. P. 95-107.
  6. Гнездицкий В.В. Обратная задача ЭЭГ и клиническая электроэнцефалография // М.: Медпресс-информ. 2004. 624 с. [Gnezditsky V.V. Inverse EEG problem and clinical electroencephalography. M.: Medpress-inform, 2004. 624p.]
  7. Голубева Э.А., Изюмова С.А., Трубникова Р.С., Печенков В.В. Связь ритмов электроэнцефалограммы с основными свойствами нервной системы // Проблемы дифференциальной психофизиологии. М., Педагогика, 1974. 352 с. [Golubeva E.A., Izyumova S.A., Trubnikova R.S., Pechenkov V.V. Relationship of the rhythms of the electroencephalogram with the basic properties of the nervous system // Problems of differential psychophysiology. M.: Pedagogika, 1974. 352 p.]
  8. Бутова О.А., Гришко Е.А. Сравнительная характеристика биоэлектрической активности нейронов головного мозга у военнослужащих силовых структур российской федерации // Современные проблемы науки и образования. 2011. № 5. С. 22-30. [Butova O.A., Grishko E.A. Comparative characteristics of the bioelectrical activity of brain neurons in military servicemen of law enforcement agencies of the Russian Federation // Modern problems of science and education. 2011. No 5. P. 22-30.]
  9. Qazi E.U., Hussain M., Aboalsamh H., Malik A.S., Amin H.U., Bamatraf S. Single Trial EEG Patterns for the Prediction of Individual Differences in Fluid Intelligence // Front Hum Neurosci. 2017. Vol. 10. P. 687.
  10. Pótári A., Ujma P.P., Konrad B.N., Genzel L., Simor P., Körmendi J., Gombos F., Steiger A., Dresler M., Bódizs R. Age-related changes in sleep EEG are attenuated in highly intelligent individuals // Neuroimage. 2017. Vol. 146. P. 554-560.
  11. Дикая Л.А. Нейрофизиологические корреляты творческой деятельности при сочинении музыки у подростков // Новые исследования. 2010. Т. 1. № 22. С. 19-26. [Dikaya L.A. Neurophysiological correlates of creative activity when composing music in adolescents // New research. 2010. Vol. 1, No 22. P. 19-26.]
  12. Русинов В.С. Биопотенциалы мозга человека. М.: Наука, 1987. [Rusinov V.S. Biopotentials of the human brain. Moscow: Nauka, 1987 (In Russ.)].
  13. Malhotra M.S., Kumar C.M. Electroencephalography in naval divers // Aviat Space Environ Med. 1975. Vol. 46, No 8. P. 1000-1001.
  14. Kipyatkov N.Yu., Dutov V.B. Prospects of use of integrative indicators of computer processing of EEG in the structure of the express-analysis of neurocognitive status // Pediatrician. 2014. Vol. 5, No 1. P. 44-48.
  15. Николаев А.Р., Анохин А.П., Иваницкий Г.А., Кошеварова О.Д., Иваницкий А.М. Спектральные перестройки ЭЭГ и организация корковых связей при пространственном и вербальном мышлении // Журнал ВНД им. И.П. Павлова. 1996. Т. 46. Вып. 5. С. 831-847. [Nikolaev A.R., Anokhin A.P., Ivanitsky G.A., Koshevarova O.D., Ivanitsky A.M. Spectral reconstruction of the EEG and organization of cortical connections with spatial and verbal thinking // I. Pavlov’s Journal of HNA. 1996. Vol. 46, No 5. P. 831-847.]
  16. Vinogradova O.S., Kitchigina V.F., Zenchenko C.I. Pacemaker neurons of the forebrain medical septal area and theta rhythm of the hippocampus // Membr. Cell. Biol. 1998. Vol. 11, No 6. P. 715-725.
  17. Boha R., Brigitta T., Kardos Z., Bálint F., Gaál Z.A., Molnár M. Electrophysiologic analysis of mental arithmetic task by the "minimum spanning tree" method // Ideggyogy Sz. 2016. Vol. 69, No 5-6. P. 169-176.
  18. Ryu K., Choi Y., Kim J., Kim Y., Chio S. Differential frontal theta activity during cognitive and motor tasks // J. Integr. Neurosci. 2016. Vol. 15, No 3. P. 295-303.
  19. Borghini G., Arico P., Di Flumeri G., Cartocci G., Colosimo A., Bonelli S. EEG-Based Cognitive Control Behaviour Assessment: an Ecological study with Professional Air Traffic Controllers // Sci Rep. 2017. Vol. 7. P. 547.
  20. Dai Z., Souza J., Lim J. EEG Cortical Connectivity Analysis of Working Memory Reveals Topological Reorganization in Theta and Alpha Bands // Front. Hum. Neurosci. 2017. Vol. 11. P. 237.
  21. Korobeĭnikova I.I. Spectra-spatial characteristics of theta range in the EEG of students with various productivity of performance for visual spatial tasks // Fiziol. Cheloveka. 2011. Vol. 37, No 5. P. 26-34.
  22. Wang C.H., Lo Y.H., Pan C.Y., Chen F.C., Liang W.K., Tsai C.L. Frontal midline theta as a neurophysiological correlate for deficits of attentional orienting in children with developmental coordination disorder // Psychophysiology. 2015. Vol. 52, No 6. P. 801-812.
  23. Vecchiato G., Tieri G., Jelic A., De Matteis F., Maglione A.G., Babiloni F. Electroencephalographic Correlates of Sensorimotor Integration and Embodiment during the Appreciation of Virtual Architectural Environments // Front. Psychol. 2015. Vol. 6. P. 1944.
  24. Meyer L., Grigutsch M., Schmuck N., Gaston P., Friederici A.D. Frontal-posterior theta oscillations reflect memory retrieval during sentence comprehension // Cortex. 2015. Vol. 71. P. 205-218.
  25. Herweg N.A., Apitz T., Leicht G., Mulert C., Fuentemilla L., Bunzeck N. Theta-Alpha Oscillations Bind the Hippocampus, Prefrontal Cortex, and Striatum during Recollection: Evidence from Simultaneous EEG-fMRI // J. Neurosci. 2016. Vol. 36, No 12. P. 3579-3587.
  26. Новикова Л. А. Электроэнцефалография и ее использование для изучения функционального состояния мозга // Естественные основы психологии. М.: Педагогика, 1978. С. 155-177. [Novikova L.A. Electroencephalography and uses for studying the functional state of the brain // Natural basis of psychology. Moscow: Pedagogika, 1978. P. 155-177.]
  27. Cassel J.C., Pereira de Vasconcelos A. Importance of the ventral midline thalamus in driving hippocampal functions // Prog. Brain Res. 2015. Vol. 219. P. 145-161.
  28. Clarke V.R.J. Synaptic kainate receptors in CA1 interneurons gate the threshold of theta6frequency6 induced long6term potentiation // J. Neurosci. 2012. Vol. 32, No 50. P. 18215-18226.
  29. Butova O.A., Grishko E.A. Peculiarities of formation of bioelectrical activity of brain neurons of servicemen of the Stavropol garrison in the aspect of adaptation // Bulletin of the Stavropol State University 2009. Vol. 63. P. 235-241.
  30. Кирой В.Н., Ермаков П.Н. Электроэнцефалограмма и функциональные состояния человека. Ростов-на-Дону. Издательство Ростовского университета. 1998. 264 с. [Kiroy V.N., Ermakov P.N. Electroencephalogram and functional states of a person. Rostov-on-Don: Publishing house of Rostov University, 1998. 264 p.]
  31. O’Keefe J., Nadel L. The hippocampus as a cognitive map. Oxford: Clarendon press, 1978. 570 p.
  32. Mukhin V.N., Pavlov K.I., Klimenko V.М. The integrative level of the hierarchical system of spatial orientation of animals // Sechenov’s. Russian Journal of Physiology. 2016. Vol. 102, No 4. P. 411-420.
  33. Lin J.J., Rugg M.D., Das S., Stein J., Rizzuto D.S., Kahana M.J., Lega B.C. Theta band power increases in the posterior hippocampus predict successful episodic memory encoding in humans // Hippocampus. 2017. doi: 10.1002/hipo.22751.
  34. Wikgren J., Nokia M.S., Penttonen M. Hippocampo-cerebellar theta band phase synchrony in rabbits // Neuroscience. 2010. Vol. 165, No 4. P. 1538-1545.
  35. Roy A., Svensson F.P., Mazeh A., Kocsis B. Prefrontal-hippocampal coupling by theta rhythm and by 2-5 Hz oscillation in the delta band: The role of the nucleus reuniens of the thalamus // Brain Struct. Funct. 2017. Vol. 222, No 6. P. 2819-2830.
  36. Burgess N., Maguire E.A., O'Keefe J. The human hippocampus and spatial and episodic memory // Neuron. 2002. Vol. 35, No 4. P. 625-641.
  37. Lega B.C., Jacobs J., Kahana M. Human hippocampal theta oscillations and the formation of episodic memories // Hippocampus. 2012. Vol. 22, No 4. P. 748-761.
  38. Müller R., Papazoglou A., Soos J., Lundt A., Wormuth C., Henseler C., Ehninger D., Broich K., Weiergräber M. Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG // J. Vis. Exp. 2017. No 121. doi: 10.3791/55089.
  39. Han Y., An B., Choi S. Enhanced theta synchronization correlates with the successful retrieval of trace fear memory // Biochem. Biophys. Res. Commun. 2016. Vol. 480, No. 4. P. 608-614.
  40. Blaise J.H., Ning T. Application of independent component analysis to remove linear dependencies in EEG recorded in hippocampus // Conf. Proc. IEEE Eng. Med. Biol. Soc. 2016. P. 3171-3174.
  41. Kouvaros S., Papatheodoropoulos C. Theta burst stimulation-induced LTP: Differences and similarities between the dorsal and ventral CA1 hippocampal synapses // Hippocampus. 2016. Vol. 26, No 12. P. 1542-1559.
  42. Bazelot M., Bocchio M., Kasugai Y., Fischer D., Dodson P.D., Ferraguti F., Capogna M. Hippocampal Theta Input to the Amygdala Shapes Feedforward Inhibition to Gate Heterosynaptic Plasticity // Neuron. 2015. Vol. 87, No 6. P. 1290-1303.
  43. Geist P.A., Dulka B.N., Barnes A., Totty M., Datta S. BNDF heterozygosity is associated with memory deficits and alterations in cortical and hippocampal EEG power // Behav. Brain Res. 2017. Vol. 332. P. 154-163.
  44. Kowiański P., Lietzau G., Czuba E., Waśkow M., Steliga A., Moryś J. BDNF: A Key Factor with Multipotent Impact on Brain Signaling and Synaptic Plasticity // Cell Mol. Neurobiol. 2017. doi: 10.1007/s10571-017-0510-4.
  45. Pavlov K.I., Mukhin V.N., Klimenko V.M., Anisimov V.N. Telomere-telomerase system in aging, norm and pathology (literature review) // Advances of gerontology. 2017. Vol. 30, No 1. P. 17-26.
  46. Hindriks R., van Putten M.J.A.M. Thalamo-cortical mechanisms underlying changes in amplitude and frequency of human alpha oscillations // Neuroimage. 2013. Vol. 70. P. 150-163.
  47. Sadaghiani S. Intrinsic connectivity networks, alpha oscillations, and tonic alertness: a simultaneous electroencephalography/functional magnetic resonance imaging study // J. Neurosci. 2010. Vol. 30. P. 10243-10250.
  48. Шестова И.А., Фонсова Н.А. Лабильность фонового альфа-ритма человека при некоторых функциональных нагрузках // Биологические науки. 1989. №3. C. 85-90. Shestova I.A., Fonsova N.A. Lability of the background alpha-rhythm of a human under certain functional loads // Biological Sciences. 1989. No 3. P. 85-90.
  49. Homskaya E.D. Electrophysiological correlates of thinking. In: Physiology of man and animals. Neurophysiological basis of mental activity. Moscow, 1979. Vol. 24. P. 5-52.
  50. Thatcher R.W., Palmero-Soler E., North D.M., Biver C.J. Intelligence and eeg measures of information flow: efficiency and homeostatic neuroplasticity // Sci Rep. 2016. Vol. 6. P. 38890.
  51. Забродин Ю.И., Лебедев А.Н. Психофизиология и психофизика. М.: Наука, 1977. [Zabrodin Y.I., Lebedev A.N. Psychophysiology and psychophysics. Moscow: Nauka, 1977].
  52. Umryukhin E.A. EEG Correlates of Individual Differences in Performance Efficiency of Students during Examination Stress // I. Pavlov’s Journal of HNA. 2005. Vol. 55, No 2. P. 189-196.
  53. Klimesch W. A method for the calculation of induced band power: implications for the significance of brain oscillations // Electroencephalogr. Clin. Neurophysiol. 1998. Vol. 108, No 2. P. 123-130.
  54. Klimesch W. Brain oscillations and human memory: EEG correlates in the upper alpha and theta band / // Neurosci. Lett. 1997. Vol. 238, No 1. P. 9-12.
  55. Klimesch W. Eventrelated desynchronization in the alpha band and the processing of semantic information // Cogn. Brain. Res. 1997. Vol. 6, No. 2. P. 83-94.
  56. Limbach K., Corballis P.M. Alpha-power modulation reflects the balancing of task requirements in a selective attention task // Psychophysiology. 2017. Vol. 54, No 2. P. 224-234.
  57. Han D.X., Zhou C.D., Liu Y.H., Peng Y.K., Xu G.L., Zhang H. Effects of simulated weightlessness on EEG frequency fluctuation characteristics // Space Med. Med. Eng. (Beijing). 2002. Vol. 15, No. 3. P. 174-177.
  58. Archimuk A.N. Crisis situations of the life of an officer of the Navy: the mechanisms of occurrence, the possibility of overcoming // Proceedings of the Navy. Part 1. St. Petersburg, 2017. P. 17-20.
  59. Бодров В.А. Психология профессиональной пригодности / Учебное пособие для вузов М. ПЕР СЭ. 2001. 511с. [Bodrov V.A. Psychology of professional fitness: Textbook for high schools. M.: PER SE, 2001. 511 p.]
  60. Gao Y., Wang Q., Ding Y. Selective Attention Enhances Beta-Band Cortical Oscillation to Speech under “Cocktail-Party” Listening Conditions // Front Hum. Neurosci. 2017. Vol. 11. P. 34.
  61. Мозговой В.Д. Исследование факторов биоэлектрической деятельности некоторых отделов мозга и их отношение к умственной активности. Автор, дисс. канд. биол. наук. М., 1973. 20c. [Mozgovoy V.D. Investigation of the bioelectric activity factors of some parts of the brain and their relation to mental activity: аuthor. diss. ... сand. biol. sciences. M., 1973. 20 p.]
  62. Belousova L.V., Razumnikova O.M., Volf N.V. Age Effect on Relationship Between Intelligence and EEG Characteristics // Zh. Vyssh. Nerv. Deiat. Im. I. P. Pavlova. 2015. Vol. 65, No 6. P. 699-705.
  63. Li J., Wang W. Extracting Impact Characteristics of Sports Training on EEG by Genetic Algorithm // Complexity and Data Mining (IWCDM). 2011. doi: 10.1109/IWCDM.2011.48
  64. Ilyuchenok I.R. Differences in the frequency characteristics of the EEG in the perception of positive-emotional, negative-emotional and neutral words // I. Pavlov’s Journal of HNA. 1996. Vol. 46, No 3. P. 45-50.
  65. Jausovec N., Jausovec K. Differences in induced gamma and upper alpha oscillations in the human brain related to verbal/performance and emotional intelligence // Int. J. Psychophysiol. 2005. Vol. 56, No 3. P. 223-235.
  66. Bushov Iu.V., Svetlik M.V., Krutenkova E.P. Gamma-activity of the cerebral cortex: communication with intelligence and accuracy of perception of time // Fiziol. Cheloveka. 2010. Vol. 36, No 4. P. 15-21.
  67. Santarnecchia E., Mullerc T., Rossia S., Sarkarc A., Polizzottod N.R., Rossia A., Cohen Kadoshc R. Individual differences and specificity of prefrontal gamma frequency-tACS on fluid intelligence capabilities // Cortex. 2016. Vol. 75. P. 33-43.
  68. Staufenbiel S.M., Brouwer A.M., Keizer A.W., van Wouwe N.C. Effect of beta and gamma neurofeedback on memory and intelligence in the elderly // Biol. Psychol. 2014. Vol. 95. P. 74-85.
  69. Christov M., Dushanova J. Functional correlates of brain aging: beta and gamma frequency band responses to age-related cortical changes // Acta Neurobiol. Exp. (Wars). 2016. Vol. 76. No 2. P. 98-109.
  70. Singh Y., Sharma R. Individual Alpha Frequency (IAF) Based Quantitative EEG Correlates of Psychological Stress // Indian J. Physiol. Pharmacol. 2015. Vol. 59, No 4. P. 414-421.
  71. Cheron G., Cebolla A.M., Petieau M., Bengoetxea A., Palmero-Soler E., Leroy A., Dan B. Adaptive changes of rhythmic EEG oscillations in space implications for brain-machine interface applications // Int. Rev. Neurobiol. 2009. Vol. 86. P. 171-187.
  72. Popov T., Kastner S., Jensen O. FEF-Controlled Alpha Delay Activity Precedes Stimulus-Induced Gamma-Band Activity in Visual Cortex // J. Neurosci. 2017. Vol. 37, No 15. P. 4117-4127.
  73. Gips B., van der Eerden J.P., Jensen O. A biologically plausible mechanism for neuronal coding organized by the phase of alpha oscillations // Eur. J. Neurosci. 2016. Vol. 44, No 4. P. 2147-2161.
  74. Belluscio M.A., Mizuseki K., Schmidt R., Kempter R., Buzsáki G. Cross-frequency phase-phase coupling between θ and γ oscillations in the hippocampus // J. Neurosci. 2012. Vol. 32. P. 423-435.
  75. Xu X., Zheng C., An L., Wang R., Zhang T. Effects of Dopamine and Serotonin Systems on Modulating Neural Oscillations in Hippocampus-Prefrontal Cortex Pathway in Rats // Brain Topogr. 2016. Vol. 29, No 4. P. 539-551.
  76. Lemercier C.E., Schulz S.B., Heidmann K.E., Kovács R., Gerevich Z. Dopamine D3 Receptors Inhibit Hippocampal Gamma Oscillations by Disturbing CA3 Pyramidal Cell Firing Synchrony // Front. Pharmacol. 2016. Vol. 6. P. 297.
  77. Korsakova E.A., Khorshev S.K., Barantsevich E.R., Slezin V.B. Diagnosis of different stages of epileptogenesis by fractal EEG analysis // Journal of Neurology and Psychiatry. 2011. Vol. 5. P. 37-41.
  78. Werner G. Fractals in the Nervous System: Conceptual Implications for Theoretical Neuroscience // Front Physiol. 2010. Vol. 1. No 15. doi: 10.3389/fphys.2010.00015
  79. Al-Qazzaz N.K., Ali S.H., Ahmad S.A. Role of EEG as Biomarker in the Early Detection and Classification of Dementia // Sci. World J. 2014. doi: 10.1155/2014/906038.
  80. Smits F.M., Porcaro C., Cottone C., Cancelli A., Rossini P.M., Tecchio F. Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer’s Disease // PLoS One. 2016. Vol. 11, No 2. doi: 10.1371/journal.pone.0149587.
  81. Kida T., Tanaka E., Kakigi R. Multi-Dimensional Dynamics of Human Electromagnetic Brain Activity // Front. Hum. Neurosci. 2015. Vol. 9. P. 713.
  82. Zappasodi F., Marzetti L., Olejarczyk E., Tecchio F., Pizzella V. Age-Related Changes in Electroencephalographic Signal Complexity // PLoS One. 2015. Vol. 10, No 11. doi: 10.1371/journal.pone.0141995.
  83. Zappasodi F., Olejarczyk E., Marzetti L. Fractal Dimension of EEG Activity Senses Neuronal Impairment in Acute Stroke // PLoS One. 2014. Vol. 9, No 6. doi: 10.1371/journal.pone.0100199.
  84. Bachmann M., Lass J., Suhhova A., Hinrikus H. Spectral Asymmetry and Higuchi's Fractal Dimension Measures of Depression Electroencephalogram // Comput. Math. Methods Med. 2013. doi: 10.1155/2013/251638.
  85. Schiff S.J., Jerger K., Duong D.H., Chang T., Spano M.L., Ditto W.L. Controlling chaos in the brain // Nature. 1994. Vol. 370. P. 615-620.
  86. Korn H., Faure P. Is there chaos in the brain? II. Experimental evidence and related models // C.R. Biologies. 2003. Vol. 326. P. 787-840.
  87. Wen H., Liu Z. Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal // Brain Topogr. 2016. Vol. 29, No 1. P. 13-26.
  88. Pletser V., Quadens O. Degraded EEG response of the human brain in function of gravity levels by the method of chaotic attractor // Acta Astronaut. 2003. Vol. 52, No 7. P. 581-589.
  89. Zhou C.D., Han D.X., Liu Y.H., Zhai Y.J., Li Y.S. Dominant frequency uncertainty analysis of EEG alpha activity in pilots with transient ischemic attacks // Space Med. Med. Eng. (Beijing). 1999. Vol. 12, No 2. P. 84-87.
  90. Sitges C., Bornas X., Llabrés J., Noguera M., Montoya P. Linear and nonlinear analyses of EEG dynamics during non-painful somatosensory processing in chronic pain patients // Int. J. Psychophysiol. 2010. Vol. 77, No 2. P. 176-183.
  91. Ferenets R., Vanluchene A., Lipping T., Heyse B., Struys M.M. Behavior of entropy/complexity measures of the electroencephalogram during propofol-induced sedation: dose-dependent effects of remifentanil // Anesthesiology. 2007. Vol. 106, No 4. P. 696-706.
  92. Saermark K., Lebech J., Bak C.K., Sabers A. Magnetoencephalography and attractor dimension: normal subjects and epileptic patients // Brain Dyn. 1989. Vol. 2. P. 149-157.
  93. Gao J., Hu J., Tung W.W. Complexity measures of brain wave dynamics // Cogn. Neurodyn. 2011. Vol. 5, No. 2. P. 171-182.
  94. Antipov O.I., Bogdanova A.A. Application of Higuchi method to automatical determining epileptiform activity at the polysomnography // Physics of the waves and the radio systems. 2016. Vol. 19, No 1. P. 59-63.
  95. Kotini A., Anninos P. Detection of non-linearity in schizophrenic patients using magnetoencephalography // Brain Topogr. 2002. Vol. 15. P. 107-113.
  96. Zueva M.V. Fractality of sensations and the brain health: the theory linking neurodegenerative disorder with distortion of spatial and temporal scale-invariance and fractal complexity of the visible world // Front Aging Neurosci. 2015. Vol. 7. P. 135.
  97. Namazi H., Kulish V.V., Akrami A. The analysis of the influence of fractal structure of stimuli on fractal dynamics in fixational eye movements and EEG signal // Sci. Rep. 2016. Vol. 6. P. 26639.

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