Extended detrended fluctuation analysis of EEG signals during sleep and the opening of the blood-brain barrier
A.N. Pavlov, A.I. Dubrovsky, A.A. Koronovskii Jr., O.N. Pavlova, O.V. Semyachkina-Glushkovskaya (Saratov State University, Saratov, Russia) and J. Kurths (Potsdam Institute for Climate Impact Research, Potsdam, Germany)
Abstract
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 data sets, 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 how activation of the brain lymphatic drainage
function, caused by stress or normal sleep, affects the slow-wave dynamics of brain
electrical activity. We demonstrate that electroencephalographic studies offer informative
diagnostic markers that can be applied to detect changes in the permeability
of the blood-brain barrier (BBB) which is of crucial importance for the progress in
the appearance of technologies for therapeutic modulations of the lymphatics in the
central nervous system (CNS).
Speaker
Alexey Pavlov
Saratov State University
Россия
Discussion
Ask question
