FEATURES OF THE CORRELATION BETWEEN TWO-SIDED ELECTRODERMAL ACTIVITY AND EEG SPECTRUM POWER
Abstract
Abstract. The paper considers the correlation between two-sided electrodermal activity and brain activation, as well as the correlation between the asymmetry of electrodermal activity and the asymmetry of the cerebral hemispheres. Aim. The paper aims to identify the correlation between electrodermal activity and EEG spectrum power so to compare the asymmetry of electrodermal activity and the asymmetry of the cerebral hemispheres. Materials and methods. The sample consisted of 30 people aged from 18 to 25 years (18 males and 12 females). Electrodermal activity was assessed by the method of nonspecific endodermal response (by Tarkhanov) with the help of the Activatsiometr AC-9K system proposed by Yu.A. Tsagarelli. EEG recording was performed using a 64-channel electroencephalograph (actiCHamp-64) and the Brain Products PyCorder package. Results. The features of the correlation between electrodermal activity and brain activation were found in all frequency bands. Most of the correlations were associated with the left hemisphere. The asymmetry of electrodermal activity correlates with the asymmetry of brain areas associated with electrodermal activity.
Downloads
References
2. Cacioppo J.T., Berntson G.G., Larsen, J.T. et al. The psychophysiology of emotion. Handbook of emotions. Guilford Press. 2000: 173–191.
3. Boucsein W. Electrodermal activity, Springer Science & Business Media. 2012. DOI 10.1007/978-1-4614-1126-0
4. Critchley H.D. Electrodermal responses: what happens in the brain. The Neuroscientist. 2002; 8 (2): 132–142.
5. Zhang S., Hu S., Chao H.H. et al. Cerebral correlates of skin conductance responses in a cognitive task. Neuroimage. 2012; 62 (3): 1489–1498.
6. Wang C.A., Baird T., Huang J. et al. Arousal effects on pupil size, heart rate, and skin conductance in an emotional face task. Frontiers in neurology. 2018; 9: 1029. DOI: 10.3389/fneur.2018.01029
7. Goshvarpour A., Abbasi A., Goshvarpour A. et al. Discrimination between different emotional states based on the chaotic behavior of galvanic skin responses. Signal, Image and Video Processing. 2017; 11 (7): 1347–1355. DOI: 10.1007/S11760-017-1092-9
8. Kostychev N.A. Batorova E.Yu., Makushkin A.V., Perepelov A.V. Dependence of the galvanic skin response on the emotional state in boys and girls. Tendentsii razvitiya nauki i obrazovaniya = Trends in the development of science and education. 2019; 51 (6): 34–36. (in Russ.). DOI: 10.18411/lj-06-2019-130.
9. Bari D.S. Psychological correlates of nonspecific electrodermal responses. Journal of Electrical Bioimpedance. 2019; 10 (1): 65–72. DOI: 10.2478/joeb-2019-0010
10. Liu Y, Du S. Psychological stress level detection based on electrodermal activity. Behav-ioural brain research. 2018; 341: 50–53. DOI: 10.1016/j.bbr.2017.12.021
11. Caruelle D., Gustafsson A., Shams P. et al. The use of electrodermal activity (EDA) measurement to understand consumer emotions – a literature review and a call for action. Journal of Business Research. 2019; 104: 146–160. DOI: 10.1016/j.jbusres.2019.06.041
12. Bell L., Vogt J., Willemse C. et al. Beyond self-report: A review of physiological and neuroscientific methods to investigate consumer behavior. Frontiers in psychology. 2018; 9: 1655. DOI: 10.3389/fpsyg.2018.01655
13. Matamala A., Soler-Vilageliu O., Iturregui-Gallardo G. et al. Electrodermal activity as a measure of emotions in media accessibility research: methodological considerations. Journal of Specialised Translation. 2020; 33: 1–23. https://www.jostrans.org/issue33/art_matamala.php
14. Popov S.A., Shcherbakova E.E., Rodina N.A. Physiological correlates of psychotypes. Vestnik psikhofiziologii = News psychophysiology. 2017; 2: 37–43. (in Russ.). https://www.elibrary.ru/ item.asp?id=29842605
15. Unakafov A.M., Nepyshnaya T.G. Investigation of the relationship between human temperament and the frequency of spontaneous galvanic skin reactions. Izvestiya YuFU. Tekhnicheskie nauki = Izvestia SFedU. Technical science. 2009; 9: 181–186. (in Russ.). https://www.elibrary.ru/ item.asp?id=12956899
16. Arakelov G.G., Glebov V.V. Vegetative components of stress and peculiarities patients individual with boundary state disorders. Psikhologicheskii zhurnal = Psychological journal. 2005; 26 (5): 35–47. (in Russ.). https://www.elibrary.ru/item.asp?id=9132869
17. Picard, R.W. Fedor S., Ayzenberg Y. Multiple arousal theory and daily-life electrodermal activity asymmetry. Emotion Review. 2016; 8 (1): 62–75. DOI: 10.1177/1754073914565517
18. Critchley H.D., Nagai Y. Comment: What does left–right autonomic asymmetry signify? Emotion Review. 2016; 8 (1): 76–77. DOI: 10.1177/1754073914565520
19. Mendes W.B. Comment: looking for affective meaning in “Multiple Arousal” theory: a comment to Picard, Fedor, and Ayzenberg. Emotion Review. 2016; 8 (1): 77–79. DOI: 10.1177/1754073914565521
20. Guerreiro J., Rita P., Trigueiros D. Attention, emotions and cause-related marketing effectiveness. European Journal of marketing. 2015; 49 (11/12): 1728–1750. DOI: 10.1108/EJM-09-2014-0543
21. Laufs, H., Krakow K., Sterzer P. et al. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. Proceedings of the national academy of sciences. 2003; 100 (19): 11053–11058. DOI: 10.1073/pnas.1831638100
22. Doletskii A.N., Dokuchaev D.A., Lata A.A. Opinion transformation in mechanism of generation and physiological interpretation of the EEG alpha rhythm. Volgogradskii nauchno-meditsinskii zhurnal = Volgograd Medical Scientific Journal. 2019; 1: 14–19. (in Russ.). https://www.elibrary.ru/item.asp?id=42905952
References on translit
-Copyright (c) 2022 Psychology. Psychophysiology
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.