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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Десинхронизация сенсомоторных ритмов при совершении квазидвижений, основанных на естественных движениях пальцев руки

Вестник Российского государственного медицинского университета. 2026. № 3. С. 42–50.
Svirin E., Бердышев Д. А., Шишкин С. Л.

Quasi-movements (QMs), which are  movement attempts minimized to the point of movement extinction, evoke EEG patterns similar to those of real movement. QMs can model attempted movement in healthy subjects and are therefore of interest as an alternative to motor imagery (MI) in rehabilitation brain–computer interfaces (BCIs), in which the attempted movement of the paralyzed limb is used as a control signal. Earlier QM studies were focused on thumb abduction. The study aimed to verify the feasibility of QMs based on more natural actions (pressing and pointing) and compare their EEG correlates with those of MI. In 11 healthy volunteers (6 women, aged 21–32), EEG recording was performed during execution of MI, non-goal-directed QMs (nQMs), goal-directed QMs (gQMs), and real movements. Both QM types caused more pronounced contralateral desynchronization of the 8–13 Hz mu rhythm than MI (0.63 dB, effect of movement type, p = 0.042), while nQMs and gQMs did not differ. There were no differences in ipsilateral desynchronization between the conditions (p = 0.216). Pairwise comparisons were significant in the upper-frequency mu rhythm sub-range (nQM–MI: 0.82 dB, p = 0.003; gQM–MI: 0.70 dB, p = 0.022). There was no effect of movement type in the parietal area of interest (p = 0.15). The contribution of residual movement was non-significant. The data obtained show that QMs based on natural actions are feasible and produce stronger sensorimotor activation than MI, which justifies further research focused on QMs in the context of rehabilitation BCIs.

Research target: Biology Medical Technologies
Language: Russian
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Keywords: ЭЭГИМКвоображение движенийквазидвижениясенсомоторные ритмы
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