Characterizing cerebrovascular dynamics with the wavelet-based multifractal formalism

被引：10

作者：

Pavlov, A. N. ^{[1
,2
]}

Abdurashitov, A. S. ^{[1
]}

Sindeeva, O. A. ^{[3
]}

Sindeev, S. S. ^{[3
]}

Pavlova, O. N. ^{[1
]}

Shihalov, G. M. ^{[1
]}

Semyachkina-Glushkovskaya, O. V. ^{[3
]}

机构：

[1] Saratov NG Chernyshevskii State Univ, Dept Phys, Saratov 410012, Russia

[2] Saratov State Tech Univ, Saratov 410054, Russia

[3] Saratov NG Chernyshevskii State Univ, Dept Biol, Saratov 410012, Russia

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2016年 / 442卷

基金：

俄罗斯科学基金会;

关键词：

Multifractality; Wavelet transform; Cerebrovascular dynamics; Laser speckle contrast imaging; CEREBRAL-BLOOD-FLOW; SIGNALS; PRESSURE; TURBULENCE; STRESS; STROKE; UNIT;

D O I：

10.1016/j.physa.2015.09.007

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：149 / 155

页数：7

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