• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Language Mapping in the Operating Room: HSE Neurolinguists Assist Surgeons in Complex Brain Surgery

Language Mapping in the Operating Room: HSE Neurolinguists Assist Surgeons in Complex Brain Surgery

© iStock

Researchers from the HSE Center for Language and Brain took part in brain surgery on a patient who had been seriously wounded in the SMO. A shell fragment approximately five centimetres long entered through the eye socket, penetrated the cranial cavity, and became lodged in the brain, piercing the temporal lobe responsible for language. Surgeons at the Burdenko Main Military Clinical Hospital removed the foreign object while the patient remained conscious. During the operation, neurolinguists conducted language tests to ensure that language function was preserved.

Demonstration of an object-naming task
News story on Channel One: https://www.1tv.ru/news/2026-01-16/531171

Researchers from the HSE Center for Language and Brain, Maria Protopova (Prokopyeva) and Irina Provlotskaya, worked in the operating room as part of a multidisciplinary team and administered standardised language tasks during direct cortical stimulation. During the operation, the patient was asked to name objects shown in pictures and to repeat pseudowords. These tasks help identify brain regions that are critically important for language and allow clinicians to detect in a timely manner any changes that may occur during the intervention.

Irina Provlotskaya

Irina Provlotskaya

Research Assistant, Center for Language and Brain

'If a patient begins to make errors while performing language tasks, this may indicate that the stimulation is affecting areas critical for language. Once these areas are identified, surgeons avoid them during subsequent stages of the operation.'

In this case, the procedure differed in that the patient remained conscious throughout the entire intervention, including the stage of opening the skull. More commonly, during such operations, the patient is kept under anaesthesia until cortical stimulation and language testing begin, after which they are placed back under anaesthesia.

Maria Prokopeva

Maria Protopova

Junior Research Fellow, Center for Language and Brain

'The language testing procedure was generally structured in the same way as in standard awake surgeries, such as the removal of an epileptic lesion or a mass, but in this case it was particularly important to monitor language continuously. We used object-naming tasks during cortical stimulation to identify language-related areas so that surgeons could bypass them during resection. Pseudoword repetition was used directly during the removal of the foreign body to ensure timely detection of any language impairments that might arise while manipulating tissue near the language pathways.'

The HSE Center for Language and Brain has been developing a clinical focus and actively collaborating with leading hospitals and medical centres in Moscow, Nizhny Novgorod, Novosibirsk, and other cities in Russia, as well as abroad. This collaboration helps introduce modern neurolinguistic methods into clinical practice, increasing the safety of neurosurgical interventions and improving the precision with which functionally significant brain areas are preserved.

Olga Dragoy

Olga Dragoy

Director, Center for Language and Brain

'Tests developed by the centre’s specialists for intraoperative language mapping—including object and action naming from pictures and other standardised language tasks—have been successfully used in awake surgeries for nearly 10 years. It is essential for us that these techniques function not only as research tools but also as clinical standards, effectively applied in neurosurgical practice.'

See also:

Scientists Develop Algorithm for More Reliable Processors in Data Centres

Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

Researchers Rank Recommendation Algorithms Using Sports Tournament Model

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).

Researchers Develop Method for Direct Generation of Regulatory DNA

Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

Researchers at HSE University and Sber Train Neural Networks to Better Predict User Preferences

The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.

Physicists Discover What Happens Inside a Stable Vortex

Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.

HSE Computer Science Researchers Win Gold Medal at International Machine Learning Competition

A team comprising HSE International Laboratory of Statistical and Computational Genomics researchers Aleksei Shmelev and Nikita Chervov, 2025 graduate of the HSE Faculty of Computer Science’s Master’s programme in Data Analysis in Biology and Medicine Ivan Gevorkov, and two students from the United States achieved an outstanding result at the 2026 NeuroGolf international machine learning championship. The team won a gold medal and placed seventh overall.

‘Working with AI Solves a Wide Range of Engineering Problems’

Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.

‘The Peak of Stupidity’ and ‘The Valley of Despair’: HSE Economists Propose an Explanation for the Dunning–Kruger Effect

The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

Toffee and Risk: Scientists Discover Why People Who Crave Sweets Make More Impulsive Choices

Having a sweet tooth may be linked not only to eating habits but also to the way people make decisions. Researchers at HSE University have found that people with a preference for sweet foods tend to behave more impulsively—not because they want immediate rewards, but because they are less willing to tolerate uncertainty. These findings may help improve treatments for addiction. The study findings have been published in Frontiers in Psychology.

Advancing Collaboration: HSE Faculty of Computer Science and Harbin Institute of Technology Hold Joint Seminar

From July 13 to 16, 2026, the Faculty of Computer Science hosted the Russian–Sino Research Seminar on Machine Learning Applications, organised by the HSE Laboratory for Cloud and Mobile Technologies in partnership with the Harbin Institute of Technology (China). A delegation comprising seven students and three university representatives travelled to Moscow to take part in an intensive four-day programme.