Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood\u2013brain barrier leakage

Anastasiya Runnova,Nikita Lezhnev,Jurgen Kurths,Anton Selskii,Anton Kiselev,Maksim Zhuravlev,Alexander Dubrovski,Thomas Penzel,Rodion Ukolov,Inna Blokhina,Evgeniya Sitnikova,Oxana Semyachkina-Glushkovskaya,Anatoly Karavaev,Elena Saranceva

doi:10.1038/s41598-021-97427-9

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.

Highlights

A new approach for detection oscillatory patterns and estimation of their dynamics based by a modified continuous wavelet transformation (CWT) skeleton method is presented
In the present report we demonstrate the applicability of an automated EEG processing system that detected subtle changes in brain activity correlated with physiological effects that occur after powerful sound stimulation
In our preliminary work using wavelet analysis, we demonstrated a similarity of EEG dynamics and the blood–brain barrier (BBB) opening that may represent an informative marker of BBB disruption[15,16]

Summary

Introduction

A new approach for detection oscillatory patterns and estimation of their dynamics based by a modified CWT skeleton method is presented. Sleep is essential for keeping healthy brain functions and processes during sleep that are capable of protecting cerebral small vessels from injuries associated with leakage of the blood–brain barrier (BBB)[1,2,3,4,5]. In the present report we demonstrate the applicability of an automated EEG processing system that detected subtle changes in brain activity correlated with physiological effects that occur after powerful sound stimulation. The effective diagnostics of BBB leakage based on the results of EEG analysis during sleep may be beneficial, for instance, it may open a new era for the development of breakthrough bed-side technologies of evaluation of BBB dysfunction as early biomarker of CSVD associated with BBB disruption

Results

Discussion

Conclusion