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 and O.V. Semyachkina-Glushkovskaya

Physica A: Statistical Mechanics and its Applications, 2016, vol. 442, issue C, 149-155

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.

Keywords: Multifractality; Wavelet transform; Cerebrovascular dynamics; Laser speckle contrast imaging (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:442:y:2016:i:c:p:149-155

DOI: 10.1016/j.physa.2015.09.007

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