期刊
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
卷 21, 期 -, 页码 758-768出版社
ELSEVIER
DOI: 10.1016/j.csbj.2022.12.019
关键词
Lymphatic drainage system of the brain; Sleep; Opening of the blood-brain barrier; Electroencephalography; Non-linear analysis; Machine learning methods
Dysfunction of the lymphatic drainage system of the brain (LDSB) is associated with aging, brain oncology, and neurodegenerative diseases. The activation of LDSB during deep sleep and opening of the blood-brain barrier (OBBB) can be measured using electroencephalography (EEG). This study found that LDSB activation during OBBB and sleep is linked to similar changes in EEG theta activity, suggesting a potential biomarker for LDSB activity.
The lymphatic drainage system of the brain (LDSB) is the removal of metabolites and wastes from its tissues. A dysfunction of LDSB is an important sign of aging, brain oncology, the Alzheimer's and Parkinson's dis-eases. The development of new strategies for diagnosis of LDSB injuries can improve prevention of age-related cerebral amyloid angiopathy, neurodegenerative and cerebrovascular diseases. There are two con-ditions, such as deep sleep and opening of the blood-brain-barrier (OBBB) associated with the LDSB acti-vation. A promising candidate for measurement of LDSB could be electroencephalography (EEG). In this pilot study on rats, we tested the hypothesis, whether deep sleep and OBBB can be an informative platform for an effective extracting of information about the LDSB functions. Using the nonlinear analysis of EEG dynamics and machine learning technology, we discovered that the LDSB activation during OBBB and sleep is associated with similar changes in the EEG theta-activity. The OBBB causes the higher LDSB activation vs. sleep that is accompanied by specific changes in the low frequency EEG activity extracted by the power spectra analysis of the EEG dynamics combined with the coherence function. Thus, our findings demon-strate a link between neural activity associated with the LDSB activation during sleep and OBBB that is an important informative platform for extraction of the EEG-biomarkers of the LDSB activity. These results open new perspectives for the development of technology for the LDSB diagnostics that would open a novel era in the prognosis of brain diseases caused by the LDSB disorders, including OBBB.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creative-commons.org/licenses/by/4.0/).
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