https://doi.org/10.1140/epjs/s11734-022-00734-z
Regular Article
Biomarkers of the psychophysiological state during the cognitive tasks estimated from the signals of the brain, cardiovascular and respiratory systems
1
Immanuel Kant Baltic Federal University, A. Nevskogo Street, 14, 236041, Kaliningrad, Russia
2
Saratov State University, Astrakhanskaya Street, 83, 410012, Saratov, Russia
3
National Medical Research Center for Therapy and Preventive Medicine, Petroverigsky Per., 10, 101000, Moscow, Russia
4
Saratov Branch of Kotelnikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Zelyonaya Street, 38, 410019, Saratov, Russia
a
rubanei@mail.ru
b
anhramkov@gmail.com
Received:
31
October
2022
Accepted:
28
November
2022
Published online:
4
January
2023
Diagnostics of the psychophysiological state at rest and under stressful conditions is an important problem. We tested various biomarkers of the psychophysiological state of healthy volunteers at rest and while completing stress-inducing cognitive tasks, namely the Stroop color word test and mental arithmetic test. We tested the biomarkers based on the analysis of electroencephalograms, respiratory signals, and the signals of cardiovascular system. We investigated both the individual characteristics of these signals in the low-frequency range (less than 0.5 Hz), and characteristics of their interaction. According to our results, the most sensitive biomarkers of cognitive task stress are nonlinear phase coherence between the 0.15 and 0.40 Hz oscillations in the respiratory signal and heart rate variability, and integral power of the 0.15–0.40 Hz oscillations in the frontal lobe EEG leads.
Brain Physiology Meets Complex Systems. Guest editors: Thomas Penzel, Teemu Myllylä, Oxana V. Semyachkina-Glushkovskaya, Alexey Pavlov, Anatoly Karavaev.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjs/s11734-022-00734-z.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
