Abstract
This work was aimed at studying the role of brain stem structures in vegetative responses upon presentation of self significant stimuli (personal name) using the functional MRI method. The subjects, based on the data of the MRI compatible polygraph, were divided into three groups with different degree of vegetative reactions to personality-related stimuli: with strong galvanic skin reactions (GSR) only—7 subjects; with medium GSR and cardiovascular response (CR)—6 subjects; and with low reactivity of GSR and CR—5 subjects. The obtained statistical maps of brain neural network activities showed high activation of the brain stem structures upon presentation of personality-related stimuli in the second group (medium GSR and CR); low activation of the stem structures in the first group (strong GSR); and complete absence of activation of the stem structures in subjects of the third group (with low reactivity of the GSR and CR). It was shown that the use of MRI compatible polygraph for selection of fMRI data to subsequent statistical analysis is effective.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dorokhov, V.B., Malakhov, D.G., Orlov, V.A., Ushakov, V.L.: Experimental model of study of consciousness at the awakening: fMRI, EEG and behavioral methods. In: BICA 2018, Proceedings of the Ninth Annual Meeting of the BICA Society. Advances in Intelligent Systems and Computing, vol. 848, pp. 82–87 (2019)
Korosteleva, A., Mishulina, O., Ushakov, V.: Information approach in the problems of data processing and analysis of cognitive experiments. In: BICA 2018, Proceedings of the Ninth Annual Meeting of the BICA Society. Advances in Intelligent Systems and Computing, vol. 848, pp. 180–186 (2019)
Korosteleva, A., Ushakov, V., Malakhov, D., Velichkovsky, B.: Event-related fMRI analysis based on the eye tracking and the use of ultrafast sequences. In: BICA for Young Scientists, Proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017). Advances in Intelligent Systems and Computing, vol. 636, pp. 107–112 (2017)
Orlov, V.A., Kartashov, S.I., Ushakov, V.L., Korosteleva, A.N., Roik, A.O., Velichkovsky, B.M., Ivanitsky, G.A.: “Cognovisor” for the human brain: Towards mapping of thought processes by a combination of fMRI and eye-tracking. In: Book Advances in Intelligent Systems and Computing. Springer, vol. 449, pp. 151–157 (2016)
Friston, K.J., Holmes, A.P., Worsley, K.J., Poline, J.B., Frith, C.D., Frackowiak, R.S.: Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 2, 189–210 (1995)
The accuracy and utility of polygraph testing (Department of Defense, DC). Polygraph 13, 1–143 (1984)
Orlov, V.A., Kholodny, Y.I., Kartashov, S.I., Malakhov, D.G., Kovalchuk, M.V., Ushakov, V.L.: Application of registration of human vegetative reactions in the process of functional magnetic resonance imaging. In: Advances in Intelligent Systems and Computing (2019), in Press
Sclocco, R., Beissner, F., Bianciardi, M., Polimeni, J.R., Napadow, V.: Challenges and opportunities for brainstem neuroimaging with ultrahigh field MRI. NeuroImage 168, 412–426 (2018)
Acknowledgements
This study was partially supported by the National Research Centre Kurchatov Institute (MRI compatible polygraphy), by RFBR Grant ofi-m 17-29-02518 (the cognitive-effective structures of the human brain), by the Russian Foundation of Basic Research, grant RFBR 18-29-23020 mk (method and approaches for fMRI analyses). The authors are grateful to the MEPhI Academic Excellence Project for providing computing resources and facilities to perform experimental data processing.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Ushakov, V.L., Orlov, V.A., Kholodny, Y.I., Kartashov, S.I., Malakhov, D.G., Kovalchuk, M.V. (2020). The Role of Brain Stem Structures in the Vegetative Reactions Based on fMRI Analysis. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research III. NEUROINFORMATICS 2019. Studies in Computational Intelligence, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-30425-6_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-30425-6_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30424-9
Online ISBN: 978-3-030-30425-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)