Mathematical modeling of the cardiovascular autonomic control in healthy subjects during a passive head-up tilt test

• Published in: Scientific reports 2020-10, Vol.10 (1), p.16525-16525, Article 16525
• Main Authors: Ishbulatov, Yurii M., Karavaev, Anatoly S., Kiselev, Anton R., Simonyan, Margarita A., Prokhorov, Mikhail D., Ponomarenko, Vladimir I., Mironov, Sergey A., Gridnev, Vladimir I., Bezruchko, Boris P., Shvartz, Vladimir A.
• Format: Article
• Language: English
• Subjects: 631/553/2695; 639/705/1041; Adult; Autonomic Nervous System - physiology; Baroreflex - physiology; Blood pressure; Blood Pressure - physiology; Cardiovascular system; Cardiovascular System - innervation; Computer Simulation; Crohn's disease; Cytokines; Enzyme-linked immunosorbent assay; Female; Head; Healthy Volunteers; Heart rate; Heart Rate - physiology; Humanities and Social Sciences; Humans; Immune system; Inflammatory bowel diseases; Inflammatory diseases; Interleukin 1; Interleukin 18; Male; Mathematical models; Models, Theoretical; multidisciplinary; Posture - physiology; Protein interaction; Proteins; Rheumatoid arthritis; Science; Science (multidisciplinary); Tilt-Table Test; γ-Interferon
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-020-71532-7

A mathematical model is proposed for the autonomic control of cardiovascular system, which takes into account two separated self-exciting sympathetic control loops of heart rate and peripheral vascular tone. The control loops are represented by self-exciting time-delay systems and their tone depends on activity of the aortic, carotid, and lower-body baroreceptors. The model is used to study the dynamics of the adaptive processes that manifest in a healthy cardiovascular system during the passive head-up tilt test. Computer simulation provides continuous observation of the dynamics of the indexes and variables that cannot be measured in the direct experiment, including the noradrenaline concentration in vessel wall and heart muscle, tone of the sympathetic and parasympathetic control, peripheral vascular resistance, and blood pressure. In the supine and upright positions, we estimated the spectral characteristics of the model variables, especially in the low-frequency band, and the original index of total percent of phase synchronization between the low-frequency oscillations in heart rate and blood pressure signals. The model demonstrates good quantitative agreement with the dynamics of the experimentally observed indexes of cardiovascular system that were averaged for 50 healthy subjects.