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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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Функциональная связанность в височных областях головного мозга и конверсия в болезнь Альцгеймера при мягком когнитивном снижении амнестического типа

Психиатрия. 2025. Т. 23. № 1. С. 6–17.
Паникратова Я. Р., Комарова А. Ю., Абдуллина Е. Г., Божко О. В., Cherkasov N., Гаврилова С. И., Колыхалов И. В., Лебедева И. С.

Background: structural and neurochemical abnormalities in temporal lobe and temporoparietal junction (T-TPJ) are seen not only in Alzheimer’s disease (AD) but also in amnestic mild cognitive impairment (aMCI). At the same time, studies of conversion to dementia focused on functional characteristics of these regions are lacking. 

The aim was to search for patterns of functional connectivity (FC) within T-TPJ that differentiate patients with aMCI with future conversion to AD from stable aMCI patients and healthy controls. 

Patients, Comparison Group and Methods: patients with aMCI who further converted to dementia due to AD (converters, n = 15), patients with stable aMCI (n = 12), and healthy individuals without cognitive deficits (n = 29) underwent resting-state functional magnetic resonance imaging. FC between cortical T-TPJ structures was compared between groups separately for each hemisphere (one-way ANCOVA and post hoc between-group comparisons). 

Results: an increased FC between posterior parts of left middle and inferior temporal gyri was observed in converters compared to other groups. There was an inverse correlation between this FC and delayed recall of words (MoCA scale) in the entire sample, however, this correlation did not reach the level of statistical significance (p = 0.055). 

Conclusions: the posterior parts of left middle and inferior temporal gyri are involved in auditory verbal memory and storing of visual images associated with a word, respectively. Therefore, а pattern of increased FC observed in future converters to AD may be a consequence of pathological processes that have already started and/or compensatory mechanisms.

Research target: Medical and Health Sciences Clinical Medicine Basic Medicine
Language: Russian
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Keywords: functional connectivitydementiaдеменцияresting-state fMRIфМРТ покояAlzheimer’s diseaseболезнь Альцгеймераamnestic mild cognitive impairmentмягкое когнитивное снижение амнестического типафункциональная связанность
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