Skip to main content

Advertisement

Log in

Correlation-and-Spectral Analysis of Time Series for Microcirculatory Parameters in Vessels of Symmetrical Organs

  • PHYSIOLOGY
  • Published:
Bulletin of Experimental Biology and Medicine Aims and scope

The correlation relationships between microcirculatory parameters were studied in vessels of symmetrical organs in humans. Parameters of microcirculation in healthy volunteers were measured by the method of laser Doppler flowmetry (LDF). LDF-signal transducers were placed symmetrically on the lower parts of the right and left shoulders (3 cm above the elbow bend). Correlations between various components of the amplitude-frequency spectrum for blood flow fluctuations (myogenic, neurogenic, respiratory, and cardiac) were evaluated on symmetrical sides. A significant correlation was found for the mean value of vascular perfusion on the right side with the neurogenic, myogenic, respiratory, and cardiac components on the same side. However, the mean value of vascular perfusion on the light side was interrelated only with the cardiac component. A positive correlation was revealed between the neurogenic and myogenic components on the left side. However, the neurogenic component on the right side was positively related to the myogenic component on the opposite side. Asymmetry of correlation relationships was also observed for the respiratory and cardiac components of study spectrum. Our results illustrate the specific regulation of microcirculatory blood flow in paired organs, which is associated with the existence of functional asymmetry. The physiological mechanisms for this asymmetry require further experimental and clinical studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Kozlov VI, Azizov GA, Gurova OA, Litvin FB. Laser Doppler Flowmetry in the Assessment of the State and Disorders of Blood Microcirculation. Moscow, 2012. Russian.

  2. Krupatkin AI, Sidorov VV. Laser Doppler Flowmetry of Blood Microcirculation. A Guide for Doctors. Moscow, 2005. Russian.

  3. Krupatkin AI, Sidorov VV, Kutepov IA. Analysis of information processes in microvascular networks using wavelet analysis of oscillatory structures of blood flow. Regionar. Krovoobr. Mikrotsirk. 2009;8(3):21-31. Russian.

  4. Mezentseva LV, Pertsov SS, Hugaeva VK. A comparative analysis of the persistence of capillary blood flow oscillations in the left and right rat kidneys. Biophysics. 2016;61(4):656-660.

    Article  CAS  Google Scholar 

  5. Mikhailichenko LA. Endothelial component in the mechanisms of vascular tone regulation in paired formations. Laser Doppler flowmetry data. Regionar. Krovoobr. Mikrotsirk. 2008;7(4):71-80. Russian.

  6. Mikhailichenko LA, Mezentseva LV. Correlation and spectral analysis of vascular tone regulator mechanisms in paired formations during postnatal ontogenesis in rats. Bull. Exp. Biol. Med. 2015;158(3):308-312.

    Article  CAS  PubMed  Google Scholar 

  7. Mikhailichenko LA, Reutov MI. Asymmetry during regeneration of microvessels in rabbit ear. Bull. Exp. Biol. Med. 1997;123(3):298-300.

    Article  Google Scholar 

  8. Mikhailichenko LA, Timkina MI. Microvessels of hamster buccal pouch under conditions of reduced systemic blood pressure. Bull. Exp. Biol. Med. 2004;138(6):545-549.

    Article  CAS  PubMed  Google Scholar 

  9. Arciero JC, Secomb TW. Spontaneous oscillations in a model for active control of microvessel diameters. Math. Med. Biol. 2012;29(2):163-180.

    Article  CAS  PubMed  Google Scholar 

  10. Benedicic M, Bernjak A, Stefanovska A, Bosnjak R. Continuous wavelet transform of laser-Doppler signals from facial microcirculation reveals vasomotion asymmetry. Microvasc. Res. 2007;74(1):45-50.

    Article  PubMed  Google Scholar 

  11. Goltsov A, Anisimova AV, Zakharkina M, Krupatkin AI, Sidorov VV, Sokolovski SG, Rafailov E. Bifurcation in blood oscillatory rhythms for patients with ischemic stroke: a small scale clinical trial using laser Doppler flowmetry and computational modeling of vasomotion. Front. Physiol. 2017;8:160. doi: https://doi.org/10.3389/fphys.2017.00160.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Koenigsberger M, Sauser R, Seppey D, Bény JL, Meister JJ. Calcium dynamics and vasomotion in arteries subject to isometric, isobaric, and isotonic conditions. Biophys. J. 2008; 95(6):2728-2738.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to L. V. Mezentseva.

Additional information

Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 166, No. 9, pp. 268-273, September, 2018

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mezentseva, L.V., Pertsov, S.S. Correlation-and-Spectral Analysis of Time Series for Microcirculatory Parameters in Vessels of Symmetrical Organs. Bull Exp Biol Med 166, 301–305 (2019). https://doi.org/10.1007/s10517-019-04337-y

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10517-019-04337-y

Key Words

Navigation