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  Machine Learning Technology for EEG-Forecast of the Blood–Brain Barrier Leakage and the Activation of the Brain’s Drainage System during Isoflurane Anesthesia

Semyachkina-Glushkovskaya, O., Sergeev, K., Semenova, N., Slepnev, A., Karavaev, A., Hramkov, A., Prokhorov, M., Borovkova, E., Blokhina, I., Fedosov, I., Shirokov, A., Dubrovsky, A., Terskov, A., Manzhaeva, M., Krupnova, V., Dmitrenko, A., Zlatogorskaya, D., Adushkina, V., Evsukova, A., Tuzhilkin, M., Elizarova, I., Ilyukov, E., Myagkov, D., Tuktarov, D., Kurths, J. (2023): Machine Learning Technology for EEG-Forecast of the Blood–Brain Barrier Leakage and the Activation of the Brain’s Drainage System during Isoflurane Anesthesia. - Biomolecules, 13, 11, 1605.
https://doi.org/10.3390/biom13111605

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Semyachkina-Glushkovskaya, Oxana1, Author
Sergeev, Konstantin1, Author
Semenova, Nadezhda1, Author
Slepnev, Andrey1, Author
Karavaev, Anatoly1, Author
Hramkov, Alexey1, Author
Prokhorov, Mikhail1, Author
Borovkova, Ekaterina1, Author
Blokhina, Inna1, Author
Fedosov, Ivan1, Author
Shirokov, Alexander1, Author
Dubrovsky, Alexander1, Author
Terskov, Andrey1, Author
Manzhaeva, Maria1, Author
Krupnova, Valeria1, Author
Dmitrenko, Alexander1, Author
Zlatogorskaya, Daria1, Author
Adushkina, Viktoria1, Author
Evsukova, Arina1, Author
Tuzhilkin, Matvey1, Author
Elizarova, Inna1, AuthorIlyukov, Egor1, AuthorMyagkov, Dmitry1, AuthorTuktarov, Dmitry1, AuthorKurths, Jürgen2, Author               more..
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Anesthesia enables the painless performance of complex surgical procedures. However, the effects of anesthesia on the brain may not be limited only by its duration. Also, anesthetic agents may cause long-lasting changes in the brain. There is growing evidence that anesthesia can disrupt the integrity of the blood–brain barrier (BBB), leading to neuroinflammation and neurotoxicity. However, there are no widely used methods for real-time BBB monitoring during surgery. The development of technologies for an express diagnosis of the opening of the BBB (OBBB) is a challenge for reducing post-surgical/anesthesia consequences. In this study on male rats, we demonstrate a successful application of machine learning technology, such as artificial neural networks (ANNs), to recognize the OBBB induced by isoflurane, which is widely used in surgery. The ANNs were trained on our previously presented data obtained on the sound-induced OBBB with an 85% testing accuracy. Using an optical and nonlinear analysis of the OBBB, we found that 1% isoflurane does not induce any changes in the BBB, while 4% isoflurane caused significant BBB leakage in all tested rats. Both 1% and 4% isoflurane stimulate the brain’s drainage system (BDS) in a dose-related manner. We show that ANNs can recognize the OBBB induced by 4% isoflurane in 57% of rats and BDS activation induced by 1% isoflurane in 81% of rats. These results open new perspectives for the development of clinically significant bedside technologies for EEG-monitoring of OBBB and BDS.

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Language(s): eng - English
 Dates: 2023-11-022023-11-02
 Publication Status: Finally published
 Pages: 20
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/biom13111605
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Health
Research topic keyword: Complex Networks
Model / method: Nonlinear Data Analysis
OATYPE: Gold Open Access
 Degree: -

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Title: Biomolecules
Source Genre: Journal, SCI, oa
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Pages: - Volume / Issue: 13 (11) Sequence Number: 1605 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2218-273X
Publisher: MDPI