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

HSE Neurolinguists Reveal What Makes Apps Effective for Aphasia Rehabilitation

HSE Neurolinguists Reveal What Makes Apps Effective for Aphasia Rehabilitation

© iStock

Scientists at the HSE Centre for Language and Brain have identified key factors that increase the effectiveness of mobile and computer-based applications for aphasia rehabilitation. These key factors include automated feedback, a variety of tasks within the application, extended treatment duration, and ongoing interaction between the user and the clinician. The article has been published in NeuroRehabilitation.

Aphasia is a disorder characterised by complete or partial loss of the ability to speak and understand speech, caused by damage to areas of the brain responsible for language functions. The primary causes of aphasia include stroke, traumatic brain injury, inflammatory brain diseases, brain tumours, and dementia.

Aphasia significantly reduces a person's quality of life, prompting scientists to search for effective ways to restore the language functions impaired by the condition. With the widespread use of smartphones and tablets, a promising and rapidly evolving area of rehabilitation has emerged: serious games (SG) integrated into applications.

These are a special type of digital game designed not only for entertainment, but also to serve specific educational, training, or research purposes. In education, they support professional training, student learning, and foreign language acquisition. In healthcare, such games are used for patient rehabilitation.

Using a specially designed application, a person with aphasia can complete language training tasks and gradually recover their lost abilities. The effectiveness of such applications has already been demonstrated, but it remained unclear which specific tasks and features should be included, and how long users should engage with them to achieve optimal results. 

Scientists from the HSE Centre for Language and Brain searched the PubMed and ScienceDirect databases and selected 18 studies which tested mobile and computer applications for aphasia rehabilitation.

The researchers focused specifically on cases where using an application produced remarkable results. For example, a patient who practiced naming 100 words improved to naming 150 words or was able to use the learned words not only in speech but also in writing. Sometimes, using serious games led to the development of related skills; for example, while training language functions, a person’s attention also improved.

In 14 of the 18 papers analysed (78%), patient use of the application resulted in positive effects. While most studies confirmed the effectiveness of the applications based on primary outcomes—ie improvement in the specific skills being trained—eight articles (44%) reported results that exceeded expectations, often showing that patients could apply the trained words in other contexts, such as writing. Additionally, two studies reported improvements in other higher cognitive functions.

The analysis revealed that the effectiveness of the applications was influenced by factors such as automated feedback, a diverse range of training tasks, extended treatment duration, and interaction between the patient and clinician. The latter is particularly important, as clinicians provide additional motivation and assess interim progress. 

'At our centre, we are developing a game for aphasia rehabilitation. Reviewing existing studies will help us optimise its testing and incorporate the essential features needed for effective use. Many existing applications include few gamification elements and function more like digital workbooks with exercises. We aim to address this limitation to increase user engagement,' explains Georgii Gorshkov, Junior Research Fellow at the HSE Centre for Language and Brain.

The study was conducted with support from the Government of Moscow (Grant No. 1403-18/23).

See also:

'Our Goal Is Not to Determine Which Version Is Correct but to Explore the Variability'

The International Linguistic Convergence Laboratory at the HSE Faculty of Humanities studies the processes of convergence among languages spoken in regions with mixed, multiethnic populations. Research conducted by linguists at HSE University contributes to understanding the history of language development and explores how languages are perceived and used in multilingual environments. George Moroz, head of the laboratory, shares more details in an interview with the HSE News Service.

Slim vs Fat: Overweight Russians Earn Less

Overweight Russians tend to earn significantly less than their slimmer counterparts, with a 10% increase in body mass index (BMI) associated with a 9% decrease in wages. These are the findings made by Anastasiia Deeva, lecturer at the HSE Faculty of Economic Sciences and intern researcher in Laboratory of Economic Research in Public Sector. The article has been published in Voprosy Statistiki.

Scientists Reveal Cognitive Mechanisms Involved in Bipolar Disorder

An international team of researchers including scientists from HSE University has experimentally demonstrated that individuals with bipolar disorder tend to perceive the world as more volatile than it actually is, which often leads them to make irrational decisions. The scientists suggest that their findings could lead to the development of more accurate methods for diagnosing and treating bipolar disorder in the future. The article has been published in Translational Psychiatry.

Scientists Develop AI Tool for Designing Novel Materials

An international team of scientists, including researchers from HSE University, has developed a new generative model called the Wyckoff Transformer (WyFormer) for creating symmetrical crystal structures. The neural network will make it possible to design materials with specified properties for use in semiconductors, solar panels, medical devices, and other high-tech applications. The scientists will present their work at ICML, a leading international conference on machine learning, on July 15 in Vancouver. A preprint of the paper is available on arxiv.org, with the code and data released under an open-source license.

HSE Linguists Study How Bilinguals Use Phrases with Numerals in Russian

Researchers at HSE University analysed over 4,000 examples of Russian spoken by bilinguals for whom Russian is a second language, collected from seven regions of Russia. They found that most non-standard numeral constructions are influenced not only by the speakers’ native languages but also by how frequently these expressions occur in everyday speech. For example, common phrases like 'two hours' or 'five kilometres’ almost always match the standard literary form, while less familiar expressions—especially those involving the numerals two to four or collective forms like dvoe and troe (used for referring to people)—often differ from the norm. The study has been published in Journal of Bilingualism.

Overcoming Baby Duck Syndrome: How Repeated Use Improves Acceptance of Interface Updates

Users often prefer older versions of interfaces due to a cognitive bias known as the baby duck syndrome, where their first experience with an interface becomes the benchmark against which all future updates are judged. However, an experiment conducted by researchers from HSE University produced an encouraging result: simply re-exposing users to the updated interface reduced the bias and improved their overall perception of the new version. The study has been published in Cognitive Processing.

Mathematicians from HSE Campus in Nizhny Novgorod Prove Existence of Robust Chaos in Complex Systems

Researchers from the International Laboratory of Dynamical Systems and Applications at the HSE Campus in Nizhny Novgorod have developed a theory that enables a mathematical proof of robust chaotic dynamics in networks of interacting elements. This research opens up new possibilities for exploring complex dynamical processes in neuroscience, biology, medicine, chemistry, optics, and other fields. The study findings have been accepted for publication in Physical Review Letters, a leading international journal. The findings are available on arXiv.org.

Mathematicians from HSE University–Nizhny Novgorod Solve 57-Year-Old Problem

In 1968, American mathematician Paul Chernoff proposed a theorem that allows for the approximate calculation of operator semigroups, complex but useful mathematical constructions that describe how the states of multiparticle systems change over time. The method is based on a sequence of approximations—steps which make the result increasingly accurate. But until now it was unclear how quickly these steps lead to the result and what exactly influences this speed. This problem has been fully solved for the first time by mathematicians Oleg Galkin and Ivan Remizov from the Nizhny Novgorod campus of HSE University. Their work paves the way for more reliable calculations in various fields of science. The results were published in the Israel Journal of Mathematics (Q1).

‘The Development of Creative Industries Has Become a Priority for Both Russia and Uzbekistan’

The Tourism Development Institute under the Committee for Tourism of the Republic of Uzbekistan and HSE University have signed a cooperation agreement aimed at establishing and developing academic, cultural, and other partnerships in the fields of education and tourism. The initiative for signing the agreement came from the Institute for Creative Industries Development at the HSE Faculty of Creative Industries.

Large Language Models No Longer Require Powerful Servers

Scientists from Yandex, HSE University, MIT, KAUST, and ISTA have made a breakthrough in optimising LLMs. Yandex Research, in collaboration with leading science and technology universities, has developed a method for rapidly compressing large language models (LLMs) without compromising quality. Now, a smartphone or laptop is enough to work with LLMs—there's no need for expensive servers or high-powered GPUs.