Peculiarities of Brain Hemodynamics and Heart Rhythm Variability in Young Men in Performing Modeled Cognitive Activity with Unequal Effectiveness

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

INTRODUCTION: Purposeful cognitive brain activity of an individual depends on blood supply to the cells of the cerebral cortex (CC), and on their autonomic innervation.

AIM: To identify peculiarities of the brain hemodynamics and heart rhythm variability (HRV) in young men performing cognitive tasks with unequal effectiveness.

MATERIALS AND METHODS: The study involved 42 practically healthy young men (mean age 19.40 ± 1.20 years). The brain hemodynamics was studied using Reo-Spektr-2 rheograph (Neurosoft, Russia) in the initial condition of relative rest and in modeled purposeful cognitive activity. Synchronously with record of rheoencephalogram, rhythmocardiogram was recorded using Varicard 2.51 hardware-software complex (Ramena, Russia). Purposeful cognitive activity was modeled in Physiotest program for psychophysiological studies with use of behavioral model: Schulte Table Test in a two-color Schulte–Gorbov modification. In statistical data processing, cluster and correlation analyses were used.

RESULTS: Based on the effectiveness of Schulte–Gorbov Table Test, the sample of subjects was divided to two clusters (n = 28 and n = 14). Comparison of clusters in the initial condition of relative physiological rest and during cognitive activity revealed differences in rheoencephalographic parameters, which reflects unequal hemodynamic supply of the brain in representatives of the given clusters. Differences in HRV parameter were found reflecting the different levels of tension of adaptation mechanisms in the initial condition and in cognitive activity. The results of the correlation analysis demonstrated different dependence between the parameters of rheoencephalogram, HRV and parameters of the effectiveness of Schulte-Gorbov Test in representatives of different clusters.

CONCLUSIONS: (1) ‘High-effective’ subjects are characterized by shorter time of propagation of the rheographic wave and longer time of slow blood filling of the right vertebral artery basin, and by higher rheographic index asymmetry coefficient in the basin of the left internal carotid artery and of vertebral arteries of both hemispheres during cognitive activity compared to ‘low-effective’ subjects. (2) Physiological support of purposeful activity of an individual with unequal effectiveness of salvation of cognitive tasks is characterized not only by different levels of brain hemodynamics and activity of autonomic regulatory mechanisms, but also by certain type of correlation relationships of these parameters with parameters of purposeful behavior, in particular, with the total time of fulfilment of the task and efficiency coefficient.

About the authors

Pavel A. Kulagin

Ryazan State Medical University

Author for correspondence.
Email: zu.pavel@gmail.com
ORCID iD: 0000-0002-5284-0875
SPIN-code: 3623-3309
ResearcherId: ABH-6238-2020
Russian Federation, Ryazan

Mikhail M. Lapkin

Ryazan State Medical University

Email: lapkin_rm@mail.ru
ORCID iD: 0000-0003-1826-8307
SPIN-code: 5744-5369
ResearcherId: S-2722-2016

MD, Dr. Sci. (Med.), Professor

Russian Federation, Ryazan

Elena A. Trutneva

Ryazan State Medical University

Email: e_lena68@mail.ru
ORCID iD: 0000-0001-9273-9432
SPIN-code: 6177-3776
ResearcherId: GMX-0836-2022

MD, Cand. Sci. (Med.), Associate Professor

Russian Federation, Ryazan

References

  1. Dzhebrailova TD, Korobeinikova II, Dudnik EN, et al. Autonomic correlates of individual differences in human intellectual activity. Fiziologiia Cheloveka. 2013;39(1):94–102. (In Russ). doi: 10.7868/S0131164613010037
  2. Biryukova EV, Vasilyuk NA, Andrianov VV. Gender peculiarities of heart rate variability and hemodynamic basis of students’ educational activity. I. P. Pavlov Russian Medical Biological Herald. 2019;27(2):188–96. (In Russ). doi: 10.23888/PAVLOVJ2019272188-196
  3. Fan X, Zhao C, Zhang X, et al. Assessment of mental workload based on multi-physiological signals. Technology and Health Care. 2020;28(S1):67–80. doi: 10.3233/THC-209008
  4. Olenko ES, Kirichuk VF, Kodochigova AI, et al. Features of the state of brain hemodynamics in young men: interaction with cognitive function. Zhurnal Vysshey Nervnoy Deyatel’nosti imeni I.P. Pavlova. 2020;70(1):25–30. (In Russ). doi: 10.31857/S0044467720010128
  5. Olenko ES, Fomina EV, Kodochigova AI, et al. Correlation of functional disorders in cerebral blood flow with cognitive style of freshmen students. Russian Open Medical Journal. 2021;10(3):e0308. doi: 10.15275/rusomj.2021.0308
  6. Yarullin KhKh. Klinicheskaya reoentsefalografiya. Moscow: Meditsina; 1983. (In Russ).
  7. Brady KM, Mytar JO, Kibler KK, et al. Monitoring cerebrovascular pressure reactivity with rheoencephalography. Journal of Physics: Conference Series. 2010;224(1):012089. doi: 10.1088/1742-6596/224/1/012089
  8. Bodó M. A noninvasive, continuous brain monitoring method: rheoencephalography (REG). DRC Sustainable Future. 2020;1(2):103–19. doi: 10.37281/1.2.3
  9. Zorin RA, Medvedeva YuI, Kurepina IS, et al. The vegetative support of purposeful activity and perfomance efficiency in healthy people. Nauka Molodykh (Eruditio Juvenium). 2019;7(1):38–45. (In Russ). doi: 10.23888/HMJ20197138-45
  10. Merkulova MA, Lapkin MM. Physiological cost as a factor determining the effectiveness of human activity in the visual images reproduction. RUDN Journal of Medicine. 2020;24(3):253–61. (In Russ). doi: 10.22363/2313-0245-2020-24-3-253-261
  11. Klimenko AV, Pertsov SS, Yakovenko IY, et al. Physiological ‘cost’ of activity of individuals with different effectiveness in dynamics of endosurgical training. I. P. Pavlov Russian Medical Biological Herald. 2019;27(3):333–41. (In Russ). doi: 10.23888/PAVLOVJ2019273333-341
  12. Zorin RA, Medvedeva YI, Kurepina IS, et al. Distribution of physiological resources and effectivity of purposeful activity of patients with epilepsy. I. P. Pavlov Russian Medical Biological Herald. 2018;26(3):369–79. (In Russ). doi: 10.23888/PAVLOVJ2018263369-379
  13. Bayevsky RN, Ivanov GG. Cardiac Rhythm Variability: the Theoretical Aspects and the Opportunities of Clinical Application (Lecture). Ultrasound and Functional Diagnostics. 2001;(3):108–27. (In Russ).
  14. Baevsky RM. Problem of the estimation and forecasting of the organisms functional state and its development in space medicine. Uspekhi Fiziologicheskikh Nauk. 2006;37(3):42–57. (In Russ).
  15. Fomina EV, Olenko ES, Kirichuk VF, et al. Features of cerebral hemodynamics in young men with different conditions of adaptive reserves of the organism. Modern Issues of Biomedicine. 2021;5(3):142–58. (In Russ). doi: 10.51871/2588-0500_2021_05_03_12
  16. Lapkin MM, Alpatov AV, Zorin RA, et al. Programma dlja provedenija psihofiziologicheskih issledovanij «Fiziotest». Certificate of state registration of a computer program RUS No. 2020615115. 18.05.2020. Byul. No. 5. Available at: https://www1.fips.ru/registers-doc-view/fips_servlet?DB=EVM&DocNumber=2020615115&TypeFile=html. Accessed: 2022 October 03. (In Russ).
  17. Chaddock RE. Principles and Methods of Statistics. Houghton Mifflin; 1925.
  18. Chub IS, Boreyko AP, Kunavin MA, et al. Features of cerebral hemodynamics in students in the process of performing a cognitive task. International Journal of Applied and Fundamental Research. 2021;(2):16–20.

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Comparison of clusters by effectiveness of performing Schulte–Gorbov Test.

Download (81KB)
3. Fig. 2. Dynamics of results of rheoencephalography in representatives of cluster 1 in performing Schulte–Gorbov Test in comparison with the initial level.

Download (49KB)
4. Fig. 3. Dynamics of results of rheoencephalography in representatives of cluster 2 in performing Schulte-Gorbov Test in comparison with the initial level.

Download (44KB)
5. Fig. 4. Comparative analysis of the parameters of heart rate variability between clusters.

Download (33KB)
6. Fig. 5. Correlation pleiads reflecting interrelations of the parameters of rheoencephalography and heart rate variability with parameters of efficiency of cognitive activity of representatives of the compared clusters.

Download (60KB)

Copyright (c) 2023 Kulagin P.A., Lapkin M.M., Trutneva E.A.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
 


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies