Analysis of brain bioelectric activity during verbal-logical thinking of biology students
Abstract
75 female students of biology aged 18–22 were examined. The indicators of coherence of frequency components of electroencephalography in a quiet state and during solving tasks involving verbal-logical type of thinking, were assessed. The study included two stages: at the first stage, the individual psycho-physiological features of the students were investigated, then, the students investigated were divided into two groups, those with low and those with medium levels of performing tests. Performance of tasks involving verbal-logical thinking, compared with the background state, was characterized by polyrhythmic EEG activity with dominating δ-oscillations and prevailing δ-activity in the frontal area, which indicates their special role in regulation of complicated forms of cognitive activity. With development of ability of verbal-logical thinking, we established the increase in the spectral capacity in the frontal F3, F7, central С3, С4, parietal Р3, Р4 and temporal Т5 leads and increasing of synchronization in α-range in the left frontal zone, in areas near the Vernike zone and in the contour area F4–F8–T4–P4 of the right hemisphere. In the process of solving logical problems, the students with the low level of development of this cognitive ability demonstrated an increase of SC of β1-oscillation in Fp2, Р3, О2 leads, and the students with the medium level of development of logical thinking, on the contrary, demonstrated a reliable decrease in capacity of β1-oscillations in the central С4 and parietal Р4 leads. However, in the most productive students, a considerable number of significant functional connections and high values of coefficients of coherence between frontal F3–F4, F4–C4, central and parietal C3–P3, C4–P3, C4–P4 and occipital O1–O2 leads in the above mentioned EEG range were recorded. The spectral capacity of β2-components of EEG in students with different levels of development of logical thinking varied within background values and decreased in certain sections. The students with the medium level of manifestation of verbal-logical thinking demonstrated synchronization of SC of β2-range between frontal Fp1–Fp2, Fp2–F7, F3–F4 and other C3–C4, O1–T5, T3–T4 leads. While performing the tasks involving logical thinking, the students with low manifestation of this mental ability, did not demonstrate any considerable changes in indicators of SC of the θ-range. However, a reliable increase was established in the Fp1, Fp2, F7 and in О2 leads in the students tested in the group with the medium manifestation of cognitive ability. It should also be noted that with the development of verbal-logical way of thinking, the brain transfers in a special functioning mode with the low functional connection in the area of θ-oscillations, which indicates the preservation of the previously formed neural network. Therefore, in this work, we for the first-time distinguished special features and functional connections during performing verbal, rather than mathematical cognitive logical tasks: localization of loci of interaction at α-frequencies in frontal and central leads of the right hemisphere; β1 – in frontal leads of the left and central right hemisphere, β2 – in frontal and occipital left and in occipital areas of the right hemisphere. It was established that in low-frequency δ- and θ-ranges of EEG, both large cell ensembles, which embrace almost all right hemisphere, and separate sections in frontal, pariental, pariental-occipital locuses of the left hemisphere, are functionally integrated.References
Angelakis, E., Lubar, J., Stathopoulou, S., & Kounios, J. (2004). Peak alpha frequency: An electroencephalographic measure of cognitive preparedness. Clinical Neurophysiology, 115, 887–897.
Aoki, F., Fetz, E. E., Shupe, L., Lettich, E., & Ojemann, G. A. (2001). Changes in power and coherence of brain activity in human sensorimotor cortex during performance of visuomotor tasks. Biosystems, 63(1–3), 89–99.
Bernat, E., Lindsay, D., Holroyd, B., & Gehring, W. (2008). Separating cognitive processes with principal components analysis of EEG time-frequency distributions. Proceedings of SPIE – The International Society for Optical Engineering, 7074, 326–333.
Bidelman, G. M., & Howell, M. (2016). Functional changes in inter- and intra-hemispheric auditory cortical processing underlying degraded speech perception. Neuroimage, 124, 581–590.
Cohen, M. X., Elger, C. E., & Ranganath, C. (2007). Reward expectation modulates feedback-related negativity and EEG spectra. Neuroimage, 35(2), 968–978.
Crick, F., & Koch, C. (1995). Are we aware of neural activity in primary visual cortex? Nature, 375, 121–123.
Deeny, S. P., Haufler, A. J., Saffer, M., & Hatfield, B. D. (2010). Electroencepha-lographic coherence during visuomotor performance: A comparison of cortico-cortical communication in experts and novices. Journal of Motor Behavior, 41(2), 106–116.
Deeny, S. P., Hillman, C. H., Janelle, C. M., & Hatfield, B. D. (2003). Cortico-cortical communication and superior performance in skilled marksmen: An EEG coherence analysis. Journal of Sport and Exercise Psychology, 25(2), 188–204.
Dordzhieva, D. B., & Pantina, E. E. (2015). Biojelektricheskaja aktivnost’ golovnogo mozga individov s razlichnym urovnem myslitel’noj dejatel’nosti [Bioelectrical activity of the brain of individuals with different levels of mental activity]. Estestvennye i Matematicheskie Nauki v Sovremennom Mire, 4, 28 (in Russian).
Dzhebrailova, T. D., & Korobejnikova, I. I. (2013). Prostranstvennaja organizacija beta2-ritma EEG i effektivnosti kognitivnoj dejatelnosti cheloveka [Spatial organization of the EEG beta2-rhythm and the effectiveness of human cognitive activity]. I. P. Pavlov Journal of Higher Nervous Activity, 63(6), 667–676 (in Russian).
Dzhebrailova, T. D., Korobeinikova, I. I., Dudnik, E. N., & Karatygin, N. A. (2015). Spatial organization of alpha range potentials on EEG and logical thinking effectiveness. Bulletin of Experimental Biology and Medicine, 159(2), 184–187.
Dzhebrailova, T. D., Korobeinikova, I. I., Dudnik, E. N., & Karatygin, N. A. (2017). Vzaimosvyaz’ parametrov teta i beta-aktivnosti EEG i variabel’nosti serdechnogo ritma pri intellektual’noy deyatel’nosti cheloveka [Interrelation between theta and beta activity parameters of the EEG and heart rate variability in human intellectual activity]. Human Physiology, 43(2), 91–105 (in Russian).
Dzhebrailova, T. D., Korobejnikova, I. I., & Karatygin, N. A. (2013). Kogerentnost’ potencialov β1 diapazona EEG i effektivnost’ intelektualnej deyatelnosti cheloveka [EEG coherence in the ß1 frequency band and efficiency of human intellectual activity]. Journal of New Medical Technologies, 20(3), 71–74 (in Russian).
Engel, A. K., & Fries, P. (2010). Beta-band oscillations-signalling the status quo? Current Opinion in Neurobiology, 20(2), 156–165.
Fink, A., Hauswirth, V., Fally, M., Neuper, C., Neubauer, A. C., Grabner, R. H., Benedek, M., Reishofer, G., & Ebner, F. (2009). The creative brain: Investigation of brain activity during creative problem solving by means of EEG and FMRI. Human Brain Mapping, 30(3), 734–748.
Freeman, W. J., & Barrie, J. M. (2000). Analysis of spatial patterns of phase in neocortical gamma EEGs in rabbit. Journal of Neurophysiology, 84(3), 1266–1278.
Freunbergera, R., Werkle-Bergnera, M., Griesmayrb, B., Lindenbergera, U., & Klimeschb, W. (2011). Brain oscillatory correlates of working memory constraints. Brain Research, 1375, 93–102.
Gross, D. W., & Gotman, J. (2009). Correlation of high-frequency oscillations with theslep-wake cycle and cognitive activity in humans. Neuroscience, 94(4), 1005–1018.
Hyunjeong, L. (2013). The effect of film as the virtual context on logical thinking of engineering students. Journal of Engineering Education Research, 16, 3–10.
Ivanitsky, G. A., Naumov, R. A., & Roik, A. O. (2010). EEG portrait of a person: characteristic patterns of brain rhythms under cognitive load of certain types. International Journal of Psychophysiology, 77(3), 314.
James, N. (2012). Logical, critical and creative: teaching ‘thinking skills’ to law students. Queensland University of Technology Law and Justice Journal, 12(1), 66–88.
Jashin, B. L. (2015). Racional’nost’ i logicheskoe myshlenie [Rationality and logical thinking]. Filosofskaja Mysl’, 10, 75–87 (in Russian).
Kiroj, V. N. (2003). Fiziologicheskie metody v psihologii [Physiological methods in psychology]. CVVR, Rostov-na-Donu (in Russian).
Kiselev, A. R., Gridnev, V. I., Posnenkova, O. M., Strunina, A. N., Shvarts, V. A., & Dovgalevskii, Y. P. (2008). Changes in the power of the low- and high-frequency bands of the heart rate variability spectrum in coronary heart disease patients with different severities of coronary atherosclerosis in the course of load tests. Human Physiology, 34(3), 312–318.
Klawitter, K., Öllinger, M., Faber, A., Filk, T., Timmer, J., & Schelter, B. (2010). Analysis of EEG data on complex human thinking. Clinical Neurophysiology, 41(1), 101.
Klimesch, W. (1997). EEG-alpha rhythm sand memory processes. International Journal of Psychophysiology, 26(1–3), 319–340.
Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews, 29, 169–195.
Klimesch, W., Freunberger, R., & Sauseng, P. (2010). Oscillatory mechanisms of process binding in memory. Neuroscience and Biobehavioral Reviews, 34(7), 1002–1014.
Korobeinikova, I. (2016). Spektral’nye harakteristiki teta ritma JeJeG i jeffektivnost’ intellektual’noj dejatel’nosti [Spectral EEG indicators of theta-rythm and efficiency of intellectual activity]. Tjumenskij Medicinskij Zhurnal, 18(2), 50–55 (in Russian).
Koshelkov, D. A., & Machinskaya, R. I. (2010). Functional coupling of cortical areas during problem-solving task: Analysis of θ-rhythm coherence. Human Physiology, 36(6), 665–669.
Kraft, E., Poeppel, E., & Gulyas, B. (2009). Neural correlates of thinking. Springer, Heidelberg.
Kukleta, M., Brázdil, M., Roman, R., Bob, P., & Rektor, I. (2009). Cognitive Network interactions and beta-2 coherence in processing non-target stimuli in visual oddball task. Physiological Research, 58, 139–148.
Kupa, L. V., & Fіlіmonova, N. B. (2014). Zminy aktyvnosti golovnogo mozku cholovikiv pry vykonannja verbal’nyh subtestiv logichnogo vidboru ta vyznachennja zagal’nyh rys testu Amthauera [Changes of activity of cerebrum of men in performance of verbal subtests of logical selection and determination of general features of the Amthauer test]. Bulletin of Cherkasy University, 295, 64–69 (in Ukrainian).
Limbach, K., & Corballis, P. M. (2017). Alpha-power modulation reflects the balancing of task requirements in a selective attention task. Psychophysiology, 54(2), 224–234.
Makeig, S., & Jung, T. (1996). Tonic, phasic, and transient EEG correlates of auditory awareness in drowsiness. Cognitive Brain Research, 4(1), 15–25.
Payne, B. R., & Peters, A. (2002). The cat primary visual cortex. Academic Press, San Diego.
Petsche, H., & Etlinger, S. C. (1998). EEG aspects of cognitive processes: A con-tribution to the proteus-like nature of consciousness. International Journal of Psychophysiology, 33(3), 199–212.
Poch, C., Campo, P., & Barnes, G. R. (2014). Modulation of alpha and gamma oscillations related to retrospectively orienting attention within working memory. European Journal of Neuroscience, 40(2), 2399–2405.
Posada, A., Franck, N., Vianin, P., Hugues, E., & Kilner, J. (2003). Augmentation of induced visual gamma activity by increased task complexity. European Journal of Neuroscience, 18(8), 2351–2356.
Posner, M. I., Sheese, B., Rothbart, M., & Tang, Y. Y. (2007). The anterior cingulate gyrus and the mechanism of self-regulation. Cognitive, Affective, and Behavioral Neuroscience, 7(4), 391–395.
Rappelsberger, P., Sarnthein, J., von Stein, A., & Petsche, H. (1999). Synchronization between temporal and parietal cortex during multimodal object processing in man. Cerebral Cortex, 9(2), 137–150.
Roik, A. O., & Ivanitsky, G. A. (2010). Patterns of brain rhythms while performing cognitive tasks with gradually changing properties. International Journal of Psychophysiology, 77, 314.
Rusinov, V. S. (1973). Klinicheskaja elektroencefalografija [Clinical electroencephalography]. Medicina, Moscow (in Russian).
Sarnthein, J., Petsche, H., Rappelsberger, P., Shaw, G. L., & von Stein, A. (1998). Synchronization between prefrontal and posterior association cortex during human working memory. Proceedings of the National Academy of Sciences. 95(12), 7092–7096.
Sauseng, P., & Klimesch, W. (2008). What does phase information of oscillatory brain activity tell us about cognitive processes? Neuroscience and Biobehavioral Reviews, 32(5), 1001–1013.
Sauseng, P., Conci, M., Wild, B., & Geyer, T. (2015). Predictive coding in visual search as revealed by cross-frequency EEG phase synchronization. Frontiers in Psychology, 6, 1–5.
Schroeder, C. E., & Lakatos, P. (2009). Low-frequency neuronal oscillations as instruments of sensory selection. Trends in Neurosciences, 32(1), 9–18.
Segalowitz, S. J., & Dywan, J. (2009). Individual differences and developmental change in the ERN response: Implications for models of ACC function. Psychological Research, 73(6), 857–870.
Simos, P. G., Papanikolaou, E., Sakkalis, E., & Micheloyannis, S. (2002). Modulation of gamma-band spectral power by cognitive task complexity. Brain Topography, 14(3), 191–196.
Slavutskaya, E. V. (2015). Slovesno-logicheskoe myshlenie i strukturirovanie lichnostnyh chert v predpodrostkovom vozraste [Verbal-logical thinking and the structuring of the preadolescents personality traits]. Izvestiya of Saratov University. New Series. Series: Educational Acmeology. Developmental Psychology, 4(3), 203–207 (in Russian).
Sviderskaya, N. E. (2011). The EEG spatial pattern and psychophysiological characteristics of divergent and convergent thinking in humans. Human Physiology, 37(1), 31–38.
Tesche, C. D., & Karhu, J. (2000). Theta oscillations index human hippocampal activation during a working memory task. Proceedings of the National Academy of Sciences, 97(2), 919–924.
Thatcher, R. W., North, D., & Biver, C. (2005). EEG and intelligence: Relations between EEG coherence, EEG phase delay and power. Clinical Neuro-physiology, 116, 2129–2141.
Thürer, B., Stockinger, C., Focke, A., Putze, F., Schultz, T., & Stein, T. (2016). Increased gamma band power during movement planning coincides with motor memory retrieval. NeuroImage, 125, 172–181.
Tongran, L., Jiannong, S., Daheng, Z., & Jie, Y. (2008). The relationship between EEG band power, cognitive processing and intelligence in school-age children. Psychology Science Quarterly, 50(2), 259–268.
Trofimov, A. G., Ivanitskiy, I. I., & Velichkovskiy, B. M. (2015). Klassifikacija signalov EEG s ispol’zovaniem “zhadnogo” algoritma postroenija komiteta klassifikatorov [Classification of EEG signals using a “greedy” algorithm for constructing a committee of weak classifiers]. Vestnik Natsional’nogo Issle-dovatel’skogo Yadernogo Universiteta MIFI, 4(6), 537–544 (in Russian).
Volf, N. V., & Tarasova, I. V. (2010). The relationships between EEG Θ and β oscillations and the level of creativity. Human Physiology, 36(2), 132–138.
Zhavoronkova, L. A., Kuptsova, S. B., Zharikova, A. V., Kushnir, E. M., & Mikhalkova, A. A. (2011). Characteristics of EEG reactivity changes during the performance of dual tasks in healthy subjects (voluntary postural control and calculation). Human Physiology, 37(6), 688–699.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons «Attribution» 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.


