ISSN 2079-6617
eISSN 2309-9828
Electrophysiological correlates of the perception of visual illusions: an ERP study

Electrophysiological correlates of the perception of visual illusions: an ERP study

PDF (Rus)

Recieved: 08/28/2022

Accepted: 04/06/2023

Published: 06/17/2023

Keywords: visual illusions; visual perception; EEG; evoked potentials

p.: 119–128

DOI: 10.11621/npj.2023.0209

Available online: 17.06.2023

To cite this article:

Denisova, E.G. , Julia N. Zaytseva, Pavel N. Ermakov. Electrophysiological correlates of the perception of visual illusions: an ERP study. // National Psychological Journal 2023. 2. p.119–128. doi: 10.11621/npj.2023.0209

Copied to Clipboard

Copy
Issue 2, 2023

Denisova, E.G. Don State Technical University

Julia N. Zaytseva Don State Technical University

Pavel N. Ermakov Southern Federal University

Abstract

Background. The question of the psychophysiological mechanisms involved in perception of images containing illusory distortions remains open. There is no record on the specifics of the brain functioning while recognizing various types of illusions. 

Objective. The aim is to analyse the temporal dynamics of evoked brain activity in relation to the type of perceived illusory distortion. 

Sample. The empirical study involved a sample of 50 respondents aged 18 to 30 years with normal or corrected vision (83% women). 

Methods. The method of electroencephalography (registration of evoked potentials, EP) was applied in the study. EEG registration was carried out monopolarly in 32 leads, using a multichannel electroencephalograph Neuroimage‑136 (manufactured by the company “ISS”, Russia). The participants of the experiment were presented with 700 visual images, including 6 groups of various illusions and control images in the form of simple geometric shapes that are not distorted. The stimuli were presented in a randomized order, for a limited time (500 ms). The WinEEG program was used to process EEG recordings. Statistical methods: single-­factor analysis of variance (ANOVA), Dunn’s post-hoc test. Statistical analysis was carried out with the JASP 0.16 software package. 

Results. Comparison of amplitude dynamics between control stimuli and stimuli with illusory images revealed significant differences in the 200–300 ms interval and in late response components (after 500 ms). As a result of the amplitude analysis of the evoked potentials while recognizing different categories of illusory images, significant differences were noted starting from the interval of 100–200 ms and covering both early and middle components of the response, as well as the late ones. Pairwise comparison showed that space curvature illusions, double images, and movement illusions were significantly different from almost all other groups of stimuli. 

Conclusion. The characteristics of evoked brain activity are specific to the type of perceived distortion. Data on the dynamics of the amplitude characteristics of evoked potentials in recognition of visual illusions, as well as their comparative analysis for various types of illusions, expand the understanding of the systemic work of the brain on formation of visual images in general and perception errors in particular.


References

Aleksandrov, Yu.I. (2003). Psychophysiology: Textbook for universities (2nd ed.). In Yu.I. Aleksandrov (Eds.). SPb.: Piter. (In Russ.). 

Anokhin, P.K. (2021). Essays on the physiology of functional systems. M.: Kniga po Trebovaniyu. (In Russ.). 

Astashchenko, A.P., Shuvaev, V.T. (2009). Change of evoked potentials in the tasks of attention and selection of fragmented simple and complex visual stimuli in humans. Vestnik TPGU (Tomsk State Pedagogical University Bulletin), 11 (89), 217–223. (In Russ.). 

Basyul, I.A., Kaplan, A. Ya. (2014). Changes in the N200 and P300 components of event-­related potentials with varying attention conditions in the Brain Computer Interface system. Zhurnal vysshei nervnoi deyatel’nosti (Journal of Higher Nervous Activity), 2 (64), 159–162. doi: 10.7868/S004446771402004X (In Russ.). 

Belousova, N.I., Tkachenko, P.V. (2021). Features of information dissemination in the visual sensory system depending on the processes of visual perception. Vestnik novykh meditsinskikh tekhnologii. Elektronnoe periodicheskoe izdanie (Journal of New Medical Technologies, eEdition), 1, 6. doi: 10.24412/2075–4094–2021–1–1–3 (In Russ.). 

Bondarko, V.M. et al. (2019). The connection of the Wundt–Goering illusion with the slope illusion and the estimation of the length of projections of inclined lines. Fiziologiya cheloveka (Human Physiology), 4 (45), 30–39. (In Russ.). 

Chudina, Yu.A. (2014). Visual discrimination of combined stimuli. RUDN Journal of Vestnik RUDN. Seriya: Psikhologiya i pedagogika (Psychology and Pedagogics), 2, 98–106. (In Russ.). 

Di Russo, F. (2001). Cortical sources of the early components of the visual evoked potential. Human Brain Mapping, 15, 95–111. 

Dzhos, Yu.S. (2018). Cognitive evoked potentials in neurophysiological research (review). Zhurnal mediko-biologicheskikh issledovanii (Journal of Medical and Biological Research), 6 (3), 223–235. doi: 10.17238/issn2542–1298.2018.6.3.223 (In Russ.). 

Fedorova, E.S., Medvedev, L.N. (2011). Correlation of Poggendorf ’s illusion with formal-­dynamic personality properties. Sensornye sistemy (Sensory Systems), 3 (25), 267–270. (In Russ.). 

Foxe, J.J. (2002). Flow of activation from V1 to frontal cortex in humans. A framework for defining “early” visual processing. Experimental Brain Research, 142 (1), 139–150. doi: 10.1007/s00221–001–0906–7 

Ganin, I.P. et al. (2012). Brain–computer interface “on the wave of P300”: study of the effect of the number of stimuli in the sequence of their presentation. Fiziologiya cheloveka (Human Physiology), 38 (2), 5–13. (In Russ.). 

Gribanov, A.V., Kozhevnikova, I.S., Dzhos, Yu.S., Nekhoroshkova, A.N. (2013). Spontaneous and induced electrical activity of the brain with a high level of anxiety. Ekologiya cheloveka (Human Ecology), 20 (1), 39–47, doi: 10.17816/humeco17394 (In Russ.). 

Holt, D.J. (2009). Neurophysiological correlates of comprehending emotional meaning in context. Journal of Cognitive Neuroscience, 21 (11), 2245–2262. 

Ivanitskii, G.A. (2019). Individual stable patterns of human brain rhythms as a reflection of mental processes. Sovremennye tekhnologii v meditsine (Modern Technologies in Medicine), 11 (1), 116–131. (In Russ.). 

Karlovskii, D.V. (2007). Neurocomputer interface based on P300. Meditsinskaya tekhnika (Biomedical Engineering), 1, 28–32. (In Russ.). 

Karpinskaya, V. Yu. (2014). Differences in sensorimotor evaluation of Ponzo and Muller-­Laier illusions. Psikhologicheskie issledovaniya (Psychological Studies), 38 (7), 3. doi: 10.54359/ps.v7i38.582 (In Russ.). 

Kleeva, D.F. (2019). The manifestation of unconscious postdictive properties of perception on the example of illusory movement. EEG research. Shagi (Steps), 1 (5), 86–103. (In Russ.). 

Konareva, I.N. (2021). Individual features of perception of visual space on the example of geometric illusions and figures. (Uchenye zapiski Krymskogo federal’nogo universiteta imeni V.I. Vernandskogo. Sotsiologiya. Pedagogika. Psikhologiya) Scientific Notes of V.I. Vernadsky Crimean Federal University. Sociology. Pedagogy. Psychology, 7 (4), 105–112. (In Russ.). 

Machinskaya, R.I. (2010). Functional organization of the brain in the perception of visual images at the global and local levels. Analysis of event-­related potentials. Fiziologiya cheloveka (Human Physiology), 5 (36), 29–48. (In Russ.). 

Men’shikova, G. Ya. (2013). Zritel’nye illyuzii: psikhologicheskie mekhanizmy i modeli: Diss. … d-ra psikhol. nauk. (Visual illu‑ sions: psychological mechanisms and models). Dr. Sci. dissertation. (Psychology). Moscow. (In Russ.). 

Men’shikova, G. Ya. (2007). Constructivist and ecological approaches to the study of the process of visual perception: analysis of differences. Vestnik Moskovskogo universiteta. Seriya 14. Psikhologiya (Moscow University Psychology Bulletin), 4, 34–48. (In Russ.). 

Minyaeva, N.R., Belova, E.I., Aslanyan, E.V. (2009). Evoked potentials of the human brain when perceiving illusory stimuli. Nauchnyi zhurnal: Izvestiya vysshikh uchebnykh zavedenii. Severo-Kavkazskii region. Estestvennye nauki (Science journal: Bulletin of Higher Education Institutes. North Caucasus Region. Natural Sciences), 5, 99–104. (In Russ.). 

Ognivov, V.V. (2008). Using recordings of eye movements to analyze the mechanisms of visual size estimation using the example of the Muller-­Laier illusion. In Maksimov, P.V., Rozhkova, G.I (Eds.), Information Technologies and Systems (ITiS’08): proceedings of the conference (pp. 250–255). Moscow: IPPI RAN. (In Russ.). 

Palmisano, S. (2015). Future challenges for vection research: definitions, functional significance, measures and neural bases. Frontiers Psychology, 6 (193), 1–15. 

Prokopenko, V.T. (2006). Psychology of visual perception. Study guide. SPb.: SPbGUITMO. (In Russ.). 

Rebreikina, A.B. (2008). Reflection in the evoked potential of the processes of processing visually presented verbal stimuli. Zhurnal vysshei nervnoi deyatel’nosti im. I.P. Pavlova (I.P. Pavlov Journal of Higher Nervous Activity), 3 (58), 294–301.  

(In Russ.). Romanov, V. Ya. (1937). Investigation of the properties of the visual perceptual process by the FOCN method. In Yu.B. Gippenreiter (Eds.), Studies of human visual activity (pp. 42–69). M.: Izdatel’stvo Moskovskogo universiteta (In Russ.). 

Shoshina, I.I. (2005). Age-related features of the influence of gender and visual asymmetry on the perception of Poggendorf ’s figure. Sensory Systems, 1 (19), 37–43. (In Russ.). 

Simonova, N.A. (2014). Neurophysiological mechanisms of visual perception disorders in schizophrenia. Sotsial’naya i klinicheskaya psikhiatriya (Social and clinical psychiatry), 1 (24), 81–89. (In Russ.). 

Tolmacheva, E.A. (2015). Features of visual illusory perception in patients with schizophrenia. Sensornye sistemy (Sensory Systems), 3 (29), 251–257. (In Russ.). 

Yakovlev, A. Yu. (2020). Visual perception of ensembles: Research review. Rossiiskii zhurnal kognitivnoi nauki (Russian Journal of Cognitive Science), 3 (7), 4–24, doi: 10.47010/20.3.1 (In Russ.).


To cite this article:

Denisova, E.G. , Julia N. Zaytseva, Pavel N. Ermakov. Electrophysiological correlates of the perception of visual illusions: an ERP study. // National Psychological Journal 2023. 2. p.119–128. doi: 10.11621/npj.2023.0209

Copied to Clipboard

Copy