Abstract
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.
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Data availability
The datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request.
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This research was supported from the Russian Federal Academic Leadership Program Priority 2030 at the Immanuel Kant Baltic Federal University.
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Brain Physiology Meets Complex Systems. Guest editors: Thomas Penzel, Teemu Myllylä, Oxana V. Semyachkina-Glushkovskaya, Alexey Pavlov, Anatoly Karavaev.
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Borovkova, E.I., Hramkov, A.N., Dubinkina, E.S. et al. Biomarkers of the psychophysiological state during the cognitive tasks estimated from the signals of the brain, cardiovascular and respiratory systems. Eur. Phys. J. Spec. Top. 232, 625–633 (2023). https://doi.org/10.1140/epjs/s11734-022-00734-z
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DOI: https://doi.org/10.1140/epjs/s11734-022-00734-z