Abstract
Modern psychophysiology is an extensive combination of interdisciplinary research focused on the study of physiological and neural mechanisms of mental processes, states and behavior. For solving scientific and applied problems, psychophysiology uses a number of non-invasive research methods, including electroencephalography (hereinafter - EEG), magnetic encephalography, positron emission and magnetic resonance imaging (hereinafter - PET and MRI, respectively) and several others. In recent years, in order to in-depth study of brain activity during the realization of certain mental phenomena, there has been a steady trend to combined use of several methods - for example, PET and EEG, or MRI and EEG. This work is related to the creation of an MR-compatible polygraph.
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References
Danilova NN (2012) Psychophysiology: textbook for universities. Aspect Press, Moscow
Alexandrov YuI (2014) Psychophysiology: textbook for universities. Supplemented and revised, 4th edn, p 41. SPb.: Piter
YouTube video. https://www.youtube.com/watch?v=FbuC1COzdRA. Accessed 20 May 2019
Kholodny YI (2017) Some aspects of the practice and technology of forensic research using a polygraph. Crime Invest Probl Solutions 4(18):185–192
Spence SA, Farrow TF, Herford AE, Wilkinson ID, Zheng Y, Woodruff PW (2001) Behavioural and functional anatomical correlates of deception in humans. NeuroReport 12:2849–2853
Ganis G, Kosslyn SM, Stose S, Thompson WL, Yurgelun-Todd DA (2003) Neural correlates of different types of deception: an fMRI investigation. Cereb Cortex 13(8):830–836
Kozel FA, Padgett NV, George MS (2004) A replication study of the neural correlates of deception. Behav Neurosci 118:852
Langleben DD, Loughead JW, Bilker WD, Ruparel K, Childress AR, Busch SI, Gur RC (2005) Telling truth from lie in individual subjects with fast event-related fMRI. Hum Brain Mapp 26:262
Rosenfeld JP (2018) Detecting concealed information and deception. Recent developments, p 440. Academic Press, London
Verschuere B, Ben-Shakhar G, Meijer E (2011) Memory detection. Theory and application of concealed information test, p 319. University Press, Cambridge
Peth J, Sommer T, Hebart MN, Vossel G, Büchel C, Matthias Gamer M (2015) Memory detection using fMRI – does the encoding context matter? NeuroImage 113:164–174
Ofen N, Whitfield-Gabrieli S, Chai XJ, Schwarzlose RF, Gabrieli GDE (2017) Neural correlates of deception: lying about past events and personal beliefs. Soc Cogn Affect Neurosci 12:116–127
Acknowledgements
This work was in part supported by the National Research Center “Kurchatov Institute” (MR compatible polygraphy), by the Russian Science Foundation, grant № 18-11-00336 (data preprocessing algorithms) and by the Russian Foundation for Basic Research, grants ofi-m 17-29-02518 (study of thinking levels). The authors are grateful to the MEPhI Academic Excellence Project for providing computing resources and facilities to perform experimental data processing.
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Kovalchuk, M.V., Kholodny, Y.I. (2020). Functional Magnetic Resonance Imaging Augmented with Polygraph: New Capabilities. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_33
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DOI: https://doi.org/10.1007/978-3-030-25719-4_33
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