Characterizing cerebrovascular dynamics with the wavelet-based multifractal formalism

A. N. Pavlov, A. S. Abdurashitov, O. A. Sindeeva, S. S. Sindeev, O. N. Pavlova, G. M. Shihalov, O. V. Semyachkina-Glushkovskaya

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Using the wavelet-transform modulus maxima (WTMM) approach we study the dynamics of cerebral blood flow (CBF) in rats aiming to reveal responses of macro- and microcerebral circulations to changes in the peripheral blood pressure. We show that the wavelet-based multifractal formalism allows quantifying essentially different reactions in the CBF-dynamics at the level of large and small cerebral vessels. We conclude that unlike the macrocirculation that is nearly insensitive to increased peripheral blood pressure, the microcirculation is characterized by essential changes of the CBF-complexity.

Original languageEnglish
Pages (from-to)149-155
Number of pages7
JournalPhysica A: Statistical Mechanics and its Applications
Volume442
DOIs
Publication statusPublished - 15 Jan 2016
Externally publishedYes

Keywords

  • Cerebrovascular dynamics
  • Laser speckle contrast imaging
  • Multifractality
  • Wavelet transform

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