Neurophysiological mechanisms and features of autonomic support of productive cognitive activity of intuitive type in young adults

  • Т. O. Tretyak Oles Honchar Dnipro National University
  • І. M. Коfan Oles Honchar Dnipro National University
  • О. M. Znanetska Oles Honchar Dnipro National University
  • F. F. Boyechko Bohdan Khmelnytsky Cherkasy National University
  • О. V. Severynovska Oles Honchar Dnipro National University
Keywords: mental activity; intuitive thinking; information processing; electroencephalogram; spectral power; coherence; cardiointervalography; autonomic nervous system; female students; regulatory mechanisms.

Abstract

Is intuition a conscious or subconscious process, a “sixth sense” or a product of learning? This article contains an answer to this question which is based on the disclosure of neurophysiological mechanisms of one of the least understandable types of human cognitive activity. For the first time with the use of cerebral cortex electrical activity mapping, a comprehensive study of the organization of cortical neural networks and the functional state of the autonomic nervous system of female biology students engaged in intuitive thinking has been conducted. The productivity of intuitive thinking is associated with increasing the spectral power of beta2-, delta-, theta-components of the electroencephalogram. The synchronization of the activity of most frequency bands is manifested in the frontal and motor areas of the cortex, which have close connections with the basal ganglia, which are responsible for the formation of skills. In the beta1-band there are probable intrahemispheric long coherences between the anterior and posterior parts of the right hemisphere, at the frequency of beta1,2- and theta-bands of the electroencephalogram they are combined into large cellular ensembles that cover the central-parietal-temporal loci of the cortex. Synchronization of biopotentials in the delta range covers large areas of the cerebral cortex. It has been established that in intuitive thinking the female students with a low standard of efficiency had a high level of central rhythm regulation, and the female students with a high standard of efficiency had a high level of autonomous regulation. Higher performance under intuitive thinking negatively correlated with low frequency findings and positively correlated with high frequency and the value of the square root of the mean squares of the intervals between heartbeats (rMSSD) in the structure of cardiorhythm. Correlation analysis found that productive mental activity is conditioned by the specific integration of cortico-visceral processes: productive intuitive thinking is associated with the activation of autonomic regulation of heart rate variability and coherence in the evolutionarily older delta and delta-theta systems of the brain. Thus, intuition is a scientific set of skills and knowledge, and the topographic signs of synchronization of electrical processes of the cerebral cortex can serve as objective criteria for successful intuitive thinking, which allow one to predict both individual abilities and the state that contributes to their realization.

References

Aftanas, L. I. (2000). Emocional’noe prostranstvo cheloveka: Psihofiziologicheskij analiz [Human emotional space ; psychophysiological analysis]. Sibirskoye Otdyeleniye Rossiiskoi Akademii Medicinskih Nauk, Novosibirsk (in Russian).

Allahverdiev, A. R., Allahverdieva, A. A., & Babaev, E. C. (2018). Osobennosti bioelektricheskoj aktivnosti golovnogo mozga zhenshchin 50–60 let pri umstvennoj deyatelnosti v dni slabyh geomagnitnyh vozmushchenij i v otnositelno spokojnyie dni [Features of the bioelectrical activity of the brain of 50–60 year old women with mental activity on days of weak geomagnetic disturbances and on relatively calm days]. Scientific Review, Biological Sciences, 4, 5–11 (in Russian).

Baievskij, R. M., Ivanov, G. G., & Chirejkin, L. V. (2001). Analiz variabel’nosti serdechnogo ritma pri ispol’zovanii razlichnyh elektrograficheskikh sistem [Analysis of heart rate variability using various electrographic systems]. Journal of Arrhythmology, 24, 65–87 (in Russian).

Bekhtereva, N. P., Gogolicyn, Y. L., Kropotov, Y. D., & Medvedev, S. V. (1985). Nejrofiziologicheskie mekhanizmy myshleniya [Neurophysiological mechanisms of thinking]. Nauka, Leningrad (in Russian).

Bogomolov, А. М., Bulatova, O. V., Traskovsky, V. V., Bushov, Y. V., & Litvinova, N. A. (2015). Polovyie osobennosti korkovykh vzaimodejstvij v svyazi s tochnost’yu uznavaniya korotkikh intervalov vremeni i individual’no-psikhologicheskimi svojstvami [Sex differences of cortical interactions in connection with the accuracy of short time intervals recognition and individual psychological characteristics]. Bulletin of Kemerovo State University, 62, 7–16 (in Russian).

Boksem, M. A. S., Meijman, T. F., & Lorist, M. M. (2006). Mental fatigue, motivation and action monitoring. Biological Psychology, 72(2), 123–132.

Bondarenko, M. P., Bondarenko, O. V., Kravchenko, V. I., & Makarchuk, N. Y. (2016). EEG аctivity in dextrals and sinistrals during visual monocular/binocular perception of verbal emotionally colored information. Neurophysiology, 48, 43–53.

Cabeza, R., Ciaramelli, E., Olson, I. R., & Moscovitch, M. (2008). The parietal cortex and episodic memory: An attentional account. Nature Reviewes Neuroscience, 9, 8, 613–625.

Craik, A., He, Y., & Contreras-Vidal, J. L. (2019). Deep learning for electroencephalogram (EEG) classification tasks: A review. Journal of Neural Engineering,16(3), 1–29.

Fernández, T., Harmony, T., Rodriguez, M., Bernal, J., Silva, J., Reyes, A., & Marosi, E. (1995). EEG activation patterns during the performance of tasks in volving different components of mental calculation. Electroencephalography and Clinical Neurophysiology, 94(3), 175–182.

Fink, A., Rominger, C., Benedek, M., Perchtold, C. M., Papousek, I., Weiss, E. M., Seidel, A., & Memmert, D. (2018). EEG alpha activity during imagining createve moves in soccer decision-making situations. Neuropsychologia, 114, 118–124.

Fuster, J. M. (2001). The prefrontal cortex – an update: Time is of the essence. Neuron, 30, 319–333.

Gazenkampf, K. A., Dmitrenko, D. V., Shnajder, N. A., Medvedeva, N. N., Nikolaev, V. G., Romanenko, A. A., Solomatova, E. S., & Yаkovleva, K. D. (2015). Kharakteristika al’fa ritma i koefficienta mezhpolusharnoj kogerentnosti kak markerov mezhpolusharnoj integracii u lyudej yunosheskogo vozrasta [Characteristics of the alpha rhythm and the coefficient of interhemispheric coherence as markers of interhemispheric integration in adolescents]. Modern Problems of Science and Education, 4, 1–6 (in Russian).

Geraimchuk, I. M. (2012). Teoriya tvorcheskogo processa: Struktura razuma (intellekta) [Creative process theory: The structure of the mind (intellect)]. Edelveis, Kiev (in Russian).

Gobet, F., Lane, P. C., Croker, S., Cheng, P. C., Jones, G., Oliver, I., & Pine, J. M. (2001). Chunking mechanisms in human learning. Trends in Cognitive Sciences, 5(6), 236–243.

Govorukhina, A. A, Mal’kov, O. A., Nifontova, O. L., & Novoselova, A. A. (2017). Sostoyanie regulyatornykh mekhanizmov i sosudistogo rusla organizma studentov fakul’teta fizicheskoj kul’tury i sporta, prozhivayushchikh v KhMAO-Yugre [The state of the regulatory mechanisms and the vascular bed of the organism of students of the Faculty of Physical Culture and Sports, living in KhMAO-Yugra]. Teorija i Praktika Fizicheskoj Kul’tury, 8, 25–27 (in Russian).

Guillery, R. W., & Harting, J. K. (2003). Structure and connections of the thalamic reticular nucleus: Advancing views over half a century. The Journal of Comparative Neurology, 463(4), 360–371.

Gusel’nikov, V. I. (1976). Elektrofiziologiya golovnogo mozga [Electrophysiology of the brain]. Vysshaya Shkola, Moscow (in Russian).

Helfrich, R. F., Huang, M., Wilson, G., & Knight, R. T. (2017). Prefrontal cortex modulates posterior alpha oscillations during top-down guided visual perception. Proceedings of the National Academy of Sciences, 114(35), 9457–9462.

Inouye, T., Shinosaki, K., Iyama, A., & Matsumoto, Y. (1993). Localization of activated areas and directional EEG patterns during mental arithmetic. Electroencephalography and Clinical Neurophysiology, 86(4), 224–230.

Jap, B. T., Lal, S., Fischer, P., & Bekiaris, E. (2009). Using EEG spectral components to assess algorithms for detecting fatigue. Expert Systems with Applications, 36(2), 2352–2359.

Jausovec, N. (2000). Differences in cognitive processes between gifted, intelligent, creative, and average individuals while solving complex problems: An EEG study. Intelligence, 28(3), 213–237.

Karpova, V. V., & Dikaya, L. A. (2014). Osobennosti funkcional’nykh svyazej kory mozga u ispytuemykh s raznym urovnem produktivnosti obraznoj tvorcheskoj deyatel’nosti [Features of functional connections of the cerebral cortex in subjects with different levels of productivity of imaginative creative activity]. North Caucasian Psychological Bulletin, 12(2), 42–46 (in Russian).

Knyazev, G. G. (2011). Cross-frequency coupling of brain oscillations: An impact of state anxiety. International Journal of Psychophysiology, 80, 236–245.

Konogorskaya, S. A. (2017). Osobennosti prostranstvennogo myshleniya i ikh vzaimosvyaz’ s uchebnoj uspeshnost’yu obuchayushchikhsya [Features of spatial thinking and their relationship with the educational success of students]. Scientific and pedagogical review. Pedagogical Review, 15, 142–152 (in Russian).

Kopell, N., Kramer, M. A., Malerba, P., & Whittington, M. A. (2010). Are different rhythms good for different functions? Frontiers in Human Neuroscience, 4, 1–8.

Kupa, L. V., & Fіlіmonova, N. B. (2014). Zmіny aktyvnostі holovnoho mozku cholovіkіv pry vykonannі verbalnykh subtestіv lohіchnoho vіdboru ta vyznachennya zahalnykh rys testu Amthauera [Changes in the activity of the brain of men when performing verbal subtests of logical selection and determining the general features of the Amthauer test]. Bulletin of Cherkasy University, Biological sciences, 2, 64–69 (in Ukrainian).

Kutsenko, T. V., Husak, І. І., & Petrushenko, M. O. (2013). Verbalna і neverbalna kreatyvnіst, varіatyvnіst sertsevoho rytmu ta pokazniki vlastivostei psyhofіzyolohіchnykh funktsii u zhіnok і cholovіkіv [Verbal and nonverbal creativity, heart rate variability and indicators of the properties of psychophysiological functions in women and men]. Bulletin of Cherkasy University, Biological Sciences, 2, 52–57 (in Ukrainian).

Livanov, M. N., Korol’kova, T. A., & Sviderskaya, N. E. (1988). Prostranstvennaya sinhronizaciya bioelektricheskoj aktivnosti kory golovnogo mozga kak pokazatel’ intellektual’noj rabotosposobnosti cheloveka [Spatial synchronization of the bioelectrical activity of the cerebral cortex as an indicator of human intellectual performance]. In: Livanov, M. N., Rusinov, V. S., & Simonov, P. V. (Eds.). Diagnostika i prognozirovanie funkcional’nogo sostoyaniya mozga cheloveka [Diagnostics and prediction of the functional state of the human brain]. Nauka, Moscow. Pp. 7–51 (in Russian).

Lutzenberger, W., Elbert, T., Birbaumer, N., Ray W. J., & Schupp, H. (1992). The scalp distribution of the fractal dimension of the EEG and its vаriation with mental tasks. Brаin Topography, 5(1), 27–34.

Lyzohub, V. S., Yukhymenko, L. І., Khomenko, S. M., & Kozhemyako, T. V. (2014). Neirofіzyolohіchne ta vehetatyvne zabezpechennya pererobky sluhovoii іnformatsii v osіb z rіznym rіvnem funktsіonalnoii rukhlyvostі nervovykh protsesіv [Neurophysiological and autonomic support of auditory information processing in persons with different levels of functional mobility of nervous processes]. Science and Education, 8, 110–114 (in Ukrainian).

Makarchuk, M. Y., Maksymovych, K. Y., Kravchenko, V. I., & Kryzhanovskyi, S. A. (2010). EEH-aktyvnist u zhinok pry spryiniatti emotsiino zabarvlenykh, erotychnykh ta neitralnykh zobrazhen v riznykh fazakh ovuliatsiinoho (menstrualnoho) tsyklu [EEG activity in women in the perception of emotionally coloured, erotic and neutral images in different phases of the ovulatory (menstrual) cycle]. Neurophysiology, 42(5), 433–441 (in Ukrainian).

Novikova, S. I. (2015). Ritmy EEH i kognitivnyie processy [EEG rhythms and cognitive processes]. Contemporary Foreign Psychology, 4(1), 91–108 (in Russian).

Okhrei, A. G., Kutsenko, T. V., & Makarchuk, M. Y. (2016). Vykonannya testu Strupa z vyznachennyam prostorovoii lokalіzatsii stymulіv muzykantamy ta ne muzykantamy [Performing a Stroop test to determine the spatial localization of stimuli by musicians and non-musicians]. Bulletin of Cherkasy University, 82–89 (in Ukrainian).

Poruchynska, T., Shevchuk, T., Romanyuk, A., & Dmytrotsa, O. (2016). Osoblyvostі teta-aktyvnostі EEH mozku osіb z rіznoyu syloyu nervovykh protsesіv pіd chas verbalnoii ta neverbalnoii dіyalnostі [Features of theta activity of EEG of the brains of persons with different strength of nervous processes during verbal and nonverbal activity]. Biological Systems, 8(1), 138–142 (in Ukrainian).

Razumnikova, O. M., & Yashanina, A. A. (2017). Znacheniie racional’nogo ili irracional’nogo kognitivnogo stilya v reaktivnosti al’fa-ritma pri konvergentnom i divergentnom myshlenii [Significance of rational or irrational cognitive style in alpha-rhythm reactivity in convergent and divergent thinking]. Russian Physiological Journal named after I. M. Sechenov, 3, 348–358 (in Russian).

Riganello, F., Candelieri, A., Quintieri, M., Conforti, D., & Dolce, G. (2010). Heart rate variability: Аn index of brain processing in vegetative state? An artificial intelligence, data mining study. Clinical Neurophysiology, 121(12), 2024–2034.

Samokhin, I. S., Sokolova, N. L., & Sergeeva, N. G. (2016). Rezul’tativnost’ i komfortnost’ obucheniya kak osnovnye kriterii ego uspeshnosti [The effectiveness and comfort of training as the main criteria for its success]. Scientific Dialogue, 5(53), 234–253 (in Russian).

Sastre-Riba, S., & Ortiz, T. (2018). Executive neurofunctionality: A comparative study in high intellectual abilities. Revista de Neurologia, 66(S1), 51–56.

Schupp, H. T., Lutzenberger, W., Birbaumer, N., Miltner, W., & Braun, C. (1994). Neurophysiological differences between perception and imagery. Cognitive Brain Research, 2(2), 77–86.

Shcherbakov, N. S. (2011). Analiz variabel’nosti serdechnogo ritma pri funkcional’noj nagruzke i v sostoyanii pokoya [Analysis of heart rate variability during functional load and at rest]. Health and Education in the XXI Century, 13, 4 (in Russian).

Shemyakina, N. V., & Dan’ko, S. G. (2004). Vliyaniie emocional’noj okraski vosprinimaemogo signala na elektroencefalograficheskiie korrelyaty tvorcheskoj deyatel’nosti [Influence of the emotional coloring of the perceived signal on the electroencephalographic correlates of creative activity]. Human Physiology, 30(2), 22–29 (in Russian).

Shlyk, N. I., & Zufarova, E. I. (2013). Normativy pokazatelej variabel’nosti serdechnogo ritma u issleduiemykh 16–21 goda s raznymi preobladayushchimi tipami vegetativnoj regulyacii [Standards for heart rate variability in subjects aged 16–21 with different prevailing types of autonomic regulation]. Bulletin of the Udmurt State University, 4, 96–105 (in Russian).

Snezhkova, N. N. Maksimenko, M. Y., & Larinova, L. G. (2011). Verbal’no-logicheskoe i naglyadno-obraznoe myshlenie v raznykh eksperimental’nykh usloviyakh u detej s raznym tipom ontogeneza [Verbal-logical and visual-figurative thinking in different experimental conditions in children with different types of ontogenesis]. Bulletin of State University of Management, 16, 103–106 (in Russian).

Stefanics, G., Hangya, B., Hernádi, I., Winkler, I., Lakatos, P., & Ulbert, I. (2010). Phase entrainment of human delta oscillations can mediate the effects of expectation on reaction speed. The Journal of Neuroscience, 30(41), 13578–13585.

Suffczynski, P., Kalitzin, S., Pfurtscheller, G., & Lopes da Silva, F. H. (2001). Computational model of thalamo-cortical networks: Dynamical control of alpha rhythms in relation to focal attention. International Journal Psychophysiology, 43(1), 25–40.

Talukdar, U., Hazarika, S. M., & Gan, J. Q. (2019). Motor imagery and mental fatigue: Inter-relationship and EEG based estimation. Journal of Computational Neuroscience, 46(1), 55–76.

Tikhomirova, T. N., Modyaev, A. D., Leonova, N. M., & Malykh, S. B. (2015). Faktory uspeshnosti v obuchenii na nachal’noj stupeni obshchego obrazovaniya: Polovyie razlichiia [Factors of success in learning at the initial stage of general education: Gender differences]. Psychological Journal, 36(5), 43–54 (in Russian).

Vajz, A. (1998). Vdokhnovenie po zakazu [Inspiration on demand]. Popurri, Minsk (in Russian).

Voss, J. L., & Paller, K. A. (2009). An electrophysiological signature of unconscious recognition memory. Nature Neuroscience, 12, 349–355.

Wan, X., Takano, D., Asamizuya, T., Suzuki, C., Ueno, K., Cheng, K., Ito, T., & Tanaka, K. (2012). Developing Intuition: Neural correlates of cognitive-skill learning in caudate nucleus. Journal of Neuroscience, 32(48), 17492–17501.

Yin, Z., & Zhang, J. (2017). Cross-session classification of mental workload levels using EEG and an adaptive deep learning model. Biomedical Signal Processing and Control, 33, 30–47.

Zvyozdochkina, N. V. (2014). Issledovaniie elektricheskoj aktivnosti golovnogo mozga [Study of the electrical activity of the brain]. Kazan University, Kazan (in Russian).

Published
2021-05-22
How to Cite
TretyakТ. O., КоfanІ. M., ZnanetskaО. M., Boyechko, F. F., & SeverynovskaО. V. (2021). Neurophysiological mechanisms and features of autonomic support of productive cognitive activity of intuitive type in young adults . Regulatory Mechanisms in Biosystems, 12(2), 181-191. https://doi.org/10.15421/022126