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

HSE Scientists Test New Method to Investigate Mechanisms of New Word Acquisition

HSE Scientists Test New Method to Investigate Mechanisms of New Word Acquisition

© iStock

Researchers at the HSE Centre for Language and Brain were among the first to use transcranial alternating current stimulation to investigate whether it can influence the acquisition of new words. Although the authors of the experiment have not yet found a link between brain stimulation and word acquisition, they believe that adjusting the stimulation parameters may yield different results in the future. The study has been published in Language, Cognition and Neuroscience.

The ability to acquire and appropriately use new words is essential for effective human communication. Throughout life, people continue to learn new words in their native language and also master foreign languages. Acquiring new words is a complex cognitive process, and its underlying mechanisms remain poorly understood.

Modern neuroimaging techniques—such as electroencephalography, magnetic resonance imaging, and magnetoencephalography—allow researchers to look inside the brain and observe which regions are activated during specific cognitive processes. However, it remains impossible to determine whether the relationship between stimulation and brain processes is causal or merely coincidental. The use of alternating current in experiments changes the approach: it allows for modulating rhythms at specific frequencies and tracking their role in neural processes.

Researchers at the HSE Centre for Language and Brain were among the first to investigate whether weak electrical stimulation of the brain at the theta frequency can help memorise new words. The scientists recruited 30 healthy volunteers and asked them to learn 80 pseudowords paired with Russian nouns. During the training, participants received low-current brain stimulation at theta rhythm frequencies (3.5–7.5 Hz) over the left frontotemporal regions of the brain, which are associated with speech and memory. The theta frequency band was deliberately chosen, because previous studies have shown that theta rhythms play a key role in transferring information from short-term to long-term memory.

After participants learned the words with stimulation, the researchers tested their memory retention. There was also a separate phase of learning and testing without stimulation to compare participants’ performance. 

The process of learning new words: 'sinebu' for microscope
© Komissarenko, A., Stupina, E., & Malyutina, S. (2025). Targeting the neural bases of novel word acquisition using theta-band transcranial alternating current stimulation. Language, Cognition and Neuroscience, 40(4), 487–507.

No improvement was observed in new word acquisition with stimulation compared to the control condition. The authors note that learning new words activates complex neural networks involving both the cerebral cortex and the hippocampus, which is difficult to stimulate noninvasively from the surface of the head.

Anna Komissarenko

'Although our study did not find a direct effect of alternating current stimulation on word acquisition, we still made an important step toward developing new methods to support language learning. We will continue our research in this direction, but future experiments will focus on other brain regions and types of stimulation,' explains Anna Komissarenko, Junior Research Fellow at the HSE Centre for Language and Brain and lead author of the paper.

In the future, the team plans to test different frequency bands and phases of electrical stimulation, change electrode placement, and expand the experiments to explore various cognitive functions. This can help deepen our understanding of how the brain’s electrical activity influences learning and memory, potentially leading to the development of accelerated language learning techniques, rehabilitation programmes for stroke and injury patients, and optimised neurostimulation methods to enhance memory.

 

See also:

HSE Researchers Make Aldehydes Perform Dual Function

Chemists from HSE University have discovered a way to carry out a reductive addition reaction without using an external reducing agent. Instead, the required 'resource' is supplied by the aldehyde itself, one of the reaction participants. This approach helps prevent unwanted side reactions, reduces toxicity, and simplifies the production and synthesis of organic molecules, including those used in the manufacture of medicines. The study has been published in Journal of Catalysis.

HSE Scientists Explain Why Findings in Autism Research Differ

Researchers from the Cognitive Health and Intelligence Centre at HSE University conducted the first-ever systematic review of studies on the specifics of emotion-from-motion perception in autism. The review showed that differences found between autistic and non-autistic individuals are largely associated with the experimental design and the types of tasks given to study participants. The review findings have been published in Research in Autism.

Tremors: Scientists Develop Method for Real-Time Tracking of Hazardous Underground Vibrations

Researchers from HSE MIEM and IPKON RAS have developed a new mathematical monitoring model that can identify the source of hazardous underground vibrations in real time. The technology could help reduce the risk of damage to buildings, roads, and other infrastructure located near quarries and mining sites. The paper has been published in Russian Mining Industry.

HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check

Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.

Tabular Data Anonymisation Solution for Safe Use in AI Systems Developed at HSE University

The AI and Digital Science Institute at the HSE Faculty of Computer Science has developed a tabular data anonymisation service designed to prepare corporate datasets for use in analytics and AI applications. The solution can identify personal data in structured datasets, apply consistent and reproducible anonymisation rules, and generate the artifacts required for quality control, auditing, and subsequent use of data in secure environments.

Population Lifespan Is Governed by Mathematical Laws

Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

Sociologists: Conservative Consumers Dominate Russian Middle Class

The Russian middle class cannot be regarded as a homogeneous and uniformly stable social group. Similar income levels often mask significant differences in financial strategies, lifestyles, and levels of economic security. This is the conclusion reached by sociologists at HSE University. The study has been published in Voprosy Ekonomiki.

Neurolinguists Assist in Awake Surgery on 11-Year-Old Patient with Epilepsy

Researchers at the HSE Centre for Language and Brain took part in a rare awake neurosurgical procedure performed on an 11-year-old patient with drug-resistant epilepsy. Working alongside surgeons at the Voyno-Yasenetsky Centre of Specialised Medical Care for Children in Solntsevo, they monitored the resection of a portion of the left temporal lobe, where the epileptic focus had been identified.

Scientists Explain How Emotions Shape Attitudes Toward Digital Governance

Today, interactions between citizens and government increasingly take place through digital governance platforms, including digital public services, AI-powered systems, and algorithmic decision-making tools. Until now, however, these technologies have largely been viewed as technical instruments, with their effectiveness assessed primarily in terms of efficiency and user-friendliness. The authors of a new study propose a broader perspective, arguing that digital governance should also be understood as an emotional experience that directly shapes citizens' trust in public institutions.

Neural Network Maps as a Method for Constructing Mathematical Models

Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.