We use cookies in order to improve the quality and usability of the HSE website. More information about the use of cookies is available here, and the regulations on processing personal data can be found here. By continuing to use the site, you hereby confirm that you have been informed of the use of cookies by the HSE website and agree with our rules for processing personal data. You may disable cookies in your browser settings.

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

Researchers at HSE Centre for Language and Brain Reveal Key Factors Determining Language Recovery in Patients After Brain Tumour Resection

Researchers at HSE Centre for Language and Brain Reveal Key Factors Determining Language Recovery in Patients After Brain Tumour Resection

© iStock

Alina Minnigulova and Maria Khudyakova at the HSE Centre for Language and Brain have presented the latest research findings on the linguistic and neural mechanisms of language impairments and their progression in patients following neurosurgery. The scientists shared insights gained from over five years of research on the dynamics of language impairment and recovery.

The surgical removal of brain tumours located near language areas can result in various postoperative language disorders. Typically, language functions recover in the immediate postoperative period; however, two out of three patients may experience disorders in the chronic phase.

To understand the dynamics of language impairments and recovery after tumour resection, scientists at the HSE Centre for Language and Brain in Moscow and the Centre for Language and Brain Studies in Nizhny Novgorod have been assessing patients using the Russian Aphasia Test (RAT) at three key time points: before surgery, a few days post-surgery, and three to four months later.

By comparing comprehensive language test results with magnetic resonance imaging (MRI) data, it was possible to evaluate the importance of specific grey and white matter areas for language function.

The researchers examined how well key clinical factors—such as postoperative declines in language processing, tumour malignancy, resection volume and location, and the use of intraoperative language mapping—can predict long-term language recovery after surgery. Beyond predicting overall recovery, the researchers identified the brain regions involved in language processing that are most vulnerable to persistent deficits.

Maria Khudyakova, Director of the Centre for Language and Brain Studies at the HSE Campus in Nizhny Novgorod, studied the postoperative restoration of both comprehension and production of individual words: nouns and verbs.

'By testing the comprehension and production of nouns and verbs, we expected to observe a significant decline in performance on all tasks immediately after surgery, followed by a substantial improvement three to four months later. It was interesting to note that while the comprehension and production of nouns did not fully recover to preoperative levels, verbs—terms denoting actions—and the comprehension of all words were restored,' according to Khudyakova.

Maria Khudyakova added that although object naming had not fully recovered to its preoperative level, the naming rate for objects that were correctly identified had increased, meaning they were named more quickly.

Alina Minnigulova, Research Fellow at the HSE Centre for Language and Brain in Moscow, has participated in surgeries since 2017, initially testing patients in Nizhny Novgorod. In 2020, she joined a neurosurgical project in Moscow, which included a study on predictors of language recovery.

‘In 2024, we completed a five-year study on the impact of clinical and behavioural characteristics on language recovery in patients following the resection of glial tumours in the left hemisphere after a delay of three to six months,' explains Minnigulova. 'We found that smaller declines in language test scores and awake surgery involving brain mapping and speech monitoring both predict better language recovery in patients three to six months after surgery.'

Additionally, the scientists determined that verbal working memory and vocabulary retrieval, in particular verbs, are most vulnerable to persistent deficits.

'This study has been completed, but we continue to work with the neurosurgical population, investigating the neural correlations of language disorders, lateralisation, and the specification of language functions,' says Minnigulova.

See also:

Low-Carbon Exports Reduce CO2 Emissions

Researchers at the HSE Faculty of Economic Sciences and the Federal Research Centre of Coal and Coal Chemistry have found that exporting low-carbon goods contributes to a better environment in Russian regions and helps them reduce greenhouse gas emissions. The study results have been published in R-Economy.

Russian Scientists Assess Dangers of Internal Waves During Underwater Volcanic Eruptions

Mathematicians at HSE University in Nizhny Novgorod and the A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences studied internal waves generated in the ocean after the explosive eruption of an underwater volcano. The researchers calculated how the waves vary depending on ocean depth and the radius of the explosion source. It turns out that the strongest wave in the first group does not arrive immediately, but after a significant delay. This data can help predict the consequences of eruptions and enable advance preparation for potential threats. The article has been published in Natural Hazards. The research was carried out with support from the Russian Science Foundation (link in Russian).

Centre for Language and Brain Begins Cooperation with Academy of Sciences of Sakha Republic

HSE University's Centre for Language and Brain and the Academy of Sciences of the Republic of Sakha (Yakutia) have signed a partnership agreement, opening up new opportunities for research on the region's understudied languages and bilingualism. Thanks to modern methods, such as eye tracking and neuroimaging, scientists will be able to answer questions about how bilingualism works at the brain level.

How the Brain Responds to Prices: Scientists Discover Neural Marker for Price Perception

Russian scientists have discovered how the brain makes purchasing decisions. Using electroencephalography (EEG) and magnetoencephalography (MEG), researchers found that the brain responds almost instantly when a product's price deviates from expectations. This response engages brain regions involved in evaluating rewards and learning from past decisions. Thus, perceiving a product's value is not merely a conscious choice but also a function of automatic cognitive mechanisms. The results have been published in Frontiers in Human Neuroscience.

AI Predicts Behaviour of Quantum Systems

Scientists from HSE University, in collaboration with researchers from the University of Southern California, have developed an algorithm that rapidly and accurately predicts the behaviour of quantum systems, from quantum computers to solar panels. This methodology enabled the simulation of processes in the MoS₂ semiconductor and revealed that the movement of charged particles is influenced not only by the number of defects but also by their location. These defects can either slow down or accelerate charge transport, leading to effects that were previously difficult to account for with standard methods. The study has been published in Proceedings of the National Academy of Sciences (PNAS).

Electrical Brain Stimulation Helps Memorise New Words

A team of researchers at HSE University, in collaboration with scientists from Russian and foreign universities, has investigated the impact of electrical brain stimulation on learning new words. The experiment shows that direct current stimulation of language centres—Broca's and Wernicke's areas—can improve and speed up the memorisation of new words. The findings have been published in Neurobiology of Learning and Memory.

Artificial Intelligence Improves Risk Prediction of Complex Diseases

Neural network models developed at the HSE AI Research Centre have significantly improved the prediction of risks for obesity, type 1 diabetes, psoriasis, and other complex diseases. A joint study with Genotek Ltd showed that deep learning algorithms outperform traditional methods, particularly in cases involving complex gene interactions (epistasis). The findings have been published in Frontiers in Medicine.

Cerium Glows Yellow: Chemists Discover How to Control Luminescence of Rare Earth Elements

Researchers at HSE University and the Institute of Petrochemical Synthesis of the Russian Academy of Sciences have discovered a way to control both the colour and brightness of the glow emitted by rare earth elements. Their luminescence is generally predictable—for example, cerium typically emits light in the ultraviolet range. However, the scientists have demonstrated that this can be altered. They created a chemical environment in which a cerium ion began to emit a yellow glow. The findings could contribute to the development of new light sources, displays, and lasers. The study has been published in Optical Materials.

Genetic Prediction of Cancer Recurrence: Scientists Verify Reliability of Computer Models

In biomedical research, machine learning algorithms are often used to analyse data—for instance, to predict cancer recurrence. However, it is not always clear whether these algorithms are detecting meaningful patterns or merely fitting random noise in the data. Scientists from HSE University, IBCh RAS, and Moscow State University have developed a test that makes it possible to determine this distinction. It could become an important tool for verifying the reliability of algorithms in medicine and biology. The study has been published on arXiv.

Habits Stem from Childhood: School Years Found to Shape Leisure Preferences in Adulthood

Moving to a big city does not necessarily lead to dramatic changes in daily habits. A study conducted at HSE University found that leisure preferences in adulthood are largely shaped during childhood and are influenced by where individuals spent their school years. This conclusion was drawn by Sergey Korotaev, Research Fellow at the HSE Faculty of Economic Sciences, from analysing the leisure habits of more than 5,000 Russians.