2021
DOI: 10.1140/epjp/s13360-021-01715-2
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Blood-brain barrier permeability changes: nonlinear analysis of ECoG based on wavelet and machine learning approaches

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Cited by 12 publications
(9 citation statements)
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References 49 publications
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“…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.…”
Section: Discussionsupporting
confidence: 91%
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“…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.…”
Section: Discussionsupporting
confidence: 91%
“…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.…”
Section: Introductionmentioning
confidence: 72%
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“…These data suggest the LDSB activation in the both sleep and OBBB groups. Our results are consistent with our previous data and other investigations showing activation of drainage and clearance of brain tissues during sleep and after OBBB in both animals [10] , [11] , [18] , [19] , [21] , [22] , [23] , [24] , [25] , [32] , [44] , [45] , [46] and humans [20] , [27] . Notice that OBBB was accompanied by greater the LDSB activation than sleep (0.48 ± 0.07 a.u.…”
Section: Resultssupporting
confidence: 94%
“…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].…”
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