Extended detrended fluctuation analysis of electroencephalograms signals during sleep and the opening of the blood-brain barrier

被引：22

作者：

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

Dubrovsky, A., I ^{[2
]}

Koronovskii, A. A., Jr. ^{[1
]}

Pavlova, O. N. ^{[2
]}

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

Kurths, J. ^{[3
,4
,5
]}

机构：

[1] Saratov NG Chernyshevskii State Univ, Dept Nonlinear Proc, Astrakhanskaya Str 83, Saratov 410012, Russia

[2] Saratov NG Chernyshevskii State Univ, Dept Phys, Astrakhanskaya Str 83, Saratov 410012, Russia

[3] Saratov NG Chernyshevskii State Univ, Dept Biol, Astrakhanskaya Str 83, Saratov 410012, Russia

[4] Potsdam Inst Climate Impact Res, Telegraphenberg A31, D-14473 Potsdam, Germany

[5] Humboldt Univ, Inst Phys, D-12489 Berlin, Germany

来源：

CHAOS | 2020年 / 30卷 / 07期

关键词：

D O I：

10.1063/5.0011823

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Detrended fluctuation analysis (DFA) is widely used to characterize long-range power-law correlations in complex signals. However, it has restrictions when nonstationarity is not limited only to slow variations in the mean value. To improve the characterization of inhomogeneous datasets, we have proposed the extended DFA (EDFA), which is a modification of the conventional method that evaluates an additional scaling exponent to take into account the features of time-varying nonstationary behavior. Based on EDFA, here, we analyze rat electroencephalograms to identify specific changes in the slow-wave dynamics of brain electrical activity associated with two different conditions, such as the opening of the blood-brain barrier and sleep, which are both characterized by the activation of the brain drainage function. We show that these conditions cause a similar reduction in the scaling exponents of EDFA. Such a similarity may represent an informative marker of fluid homeostasis of the central nervous system.

引用

页数：9

共 40 条

[1] The blood-brain barrier: an overview - Structure, regulation, and clinical implications [J].