Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage

Abstract

A new approach for detection oscillatory patterns and estimation of their dynamics based by a modified CWT skeleton method is presented. The method opens up additional perspectives for the analysis of subtle changes in the oscillatory activity of complex nonstationary signals. The method was applied to analyze unique experimental signals obtained in usual conditions and after the non-invasive increase in the blood–brain barrier (BBB) permeability in 10 male Wistar rats. The results of the wavelet-analysis of electrocorticography (ECoG) recorded in a normal physiological state and after an increase in the BBB permeability of animals demonstrate significant changes between these states during wakefulness of animals and an essential smoothing of these differences during sleep. Sleep is closely related to the processes of observed changes in the BBB permeability.

A Novel Method to Stimulate Lymphatic Clearance of Beta-Amyloid from Mouse Brain Using Noninvasive Music-Induced Opening of the Blood–Brain Barrier with EEG Markers

“…Here, we propose the EDFA analysis of EEG data and show that OBBB can be identified based on the EEG data using long-range power-law correlations. Our data concur with our previous results demonstrating a successful application of a nonlinear analysis of EEG patterns in the evaluation of OBBB [26][27][28][29][30][31]. These approaches open a new era in the development of noninvasive and bedside methods of express diagnosis of OBBB that is very important for monitoring the effectiveness of therapy and condition of patients with brain diseases associated with OBBB, such as AD, stroke, brain trauma, gliomas, and neurodegenerative pathologies.…”

“…Currently, it has been discussed that the electroencephalographic (EEG) dynamics can be a potential biomarker of BBB integrity [25]. In our preliminary studies, we have demonstrated the successful application of nonlinear analysis of EEG patterns in the evaluation of OBBB [26][27][28][29][30][31]. We have found strong evidence that the EEG dynamics can be an important informative platform of drainage and clearing functions of the brain.…”

“…We have found strong evidence that the EEG dynamics can be an important informative platform of drainage and clearing functions of the brain. Therefore, OBBB-mediated clearance of macromolecules from the brain [23,24,32] is associated with a low frequency EEG brain activity in both humans and animals [26][27][28][29][30][31]33].…”

EEG biomarkers of activation of the lymphatic drainage system of the brain during sleep and opening of the blood-brain barrier

“…A promising candidate for measurement of LDSB during sleep and OBBB could be electroencephalography (EEG). Indeed, both deep sleep and OBBB are characterized by similar and certain changes in electrical activity of the brain in the form of low frequency of EEG dynamics [18] , [19] , [20] , [31] , [32] . There is hypothesis that the low frequency EEG pattern can be biomarker of the LDSB activation [17] , [18] , [19] .…”

Детектирование Фазы Быстрого Сна По Сигналам Электроэнцефалограммы На Основе Модификаций Вейвлет-Анализа

“…Настоящая работа посвящена изучению возможности применения нового метода анализа частотных паттернов [14] для выявления четких различий между стадией N1, стадией REM сна и бодрствованием на ЭЭГ-записях во время ночного мониторинга. Отличительная особенность метода частотных паттернов, основанного на использовании непрерывного вейвлетного преобразования, заключается в его способности выявлять тонкие различия в биоэлектрических сигналах, которые не удается выявить классическими методами, как было показано в работах [14][15][16].…”