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October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
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International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
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Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Brain-Computer Interfaces for Gait Rehabilitation After Stroke A Scoping Review

American Journal of Physical Medicine and Rehabilitation. 2026. Vol. 105. No. 6. P. 555–563.
Mokienko O., Zisman M. A., Bobrov P., Ustinova K. I.

Brain-computer interfaces (BCIs) represent a promising technology for restoring lower limb motor functions and gait after stroke. The application of BCIs in this field is supported by a limited number of studies. The objective of the review was to systematically and critically evaluate the current evidence on the use of BCIs for lower limb function rehabilitation in stroke patients. A systematic literature search was conducted in PubMed, Scopus, and Web of Science databases. The inclusion criteria were as follows: studies involving adult patients with poststroke hemiparesis; implementation of noninvasive BCIs specifically targeting lower limb rehabilitation; and detailed reporting of training protocols. Quality assessment was conducted using the National Institutes of Health Study Quality Assessment Tools. Twenty-two studies were included in the analysis with the following results. Electroencephalography-based BCIs integrated with functional electrical stimulation of muscles (EEG-BCI- FES) represent the most extensively investigated technology in this field, with efficacy and safety demonstrated in 3 randomized controlled trials (RCTs) and 1 non-RCT. BCI systems integrated with mechanical devices have been less studied, with evidence from 2 RCTs, while systems with only visual feedback have also been evaluated in 2 RCTs. For BCIs with exoskeletons, only technical feasibility has been demonstrated. Further research is needed to optimize training protocols and study the long-term effects of using BCI for rehabilitation.

Research target: Clinical Medicine Computer Science Medical Technologies
Language: English
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Keywords: rehabilitationgaitbrain-machine interfaceHemiplegiaNeurobiofeedback
Publication based on the results of:
Multidisciplinary study of behavior and decision-making in health population and patients using behavioral, economic, neurocognitive, neuroeconomic, neurocomputational and neural network approaches (2025)
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