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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Combined induction of mTOR-dependent and mTOR-independent pathways of autophagy activation as an experimental therapy for Alzheimer's disease-like pathology in a mouse model

Pharmacology Biochemistry and Behavior. 2022. Vol. 217. Article 173406.
Pupyshev A., Belichenko V., Tenditnik M., Bashirzade A., Dubrovina N., Ovsyukova M., Akopyan A., Fedoseeva L., Korolenko T., Amstislavskaya T., Tikhonova M.

Alzheimer's disease (AD) is associated with amyloid-β (Aβ) accumulation that might be hindered by autophagy. There are two ways to induce autophagy: through mTOR-dependent and mTOR-independent pathways (here, by means of rapamycin and trehalose, respectively). The aim of this study was to evaluate the contribution of these pathways and their combination to the treatment of experimental AD. Mice were injected bilaterally intracerebroventricularly with an Aβ fragment (25–35) to set up an AD model. Treatment with rapamycin (10 mg/kg, every other day), trehalose consumption with drinking water (2 mg/mL, ad libitum), or their combination started 2 days after the surgery and lasted for 2 weeks. Open-field, plus-maze, and passive avoidance tests were used for behavioral phenotyping. Neuronal density, Aβ accumulation, and the expression of autophagy marker LC3-II and neuroinflammatory marker IBA1 were measured in the frontal cortex and hippocampus. mRNA levels of autophagy genes (Atg8, Becn1, and Park2) were assessed in the hippocampus. Trehalose but not rapamycin caused pronounced prolonged autophagy induction and transcriptional activation of autophagy genes. Both drugs effectively prevented Aβ deposition and microglia activation. Autophagy inhibitor 3-methyladenine significantly attenuated autophagy activation and disturbed the effect of the inducers on Aβ load. The inducers substantially reversed behavioral and neuronal deficits in Aβ-injected mice. In many cases, the best outcomes were achieved with the combined treatment. Thus, trehalose alone or combined autophagy activation by the two inducers may be a promising treatment approach to AD-like neurodegeneration. Some aspects of interaction between mTOR-dependent and mTOR-independent pathways of autophagy are discussed.

Research target: Basic Medicine Biology
Language: English
DOI
Text on another site
Keywords: NeuroprotectionTrehaloseAmyloid-betaRapamycin
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