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

Children with Autism Process Auditory Information Differently

Children with Autism Process Auditory Information Differently

© iStock

A team of scientists, including researchers from the HSE Centre for Language and Brain, examined specific aspects of auditory perception in children with autism. The scientists observed atypical alpha rhythm activity both during sound perception and at rest. This suggests that these children experience abnormalities in the early stages of sound processing in the brain's auditory cortex. Over time, these abnormalities can result in language difficulties. The study findings have been published in Brain Structure and Function

Autism spectrum disorders (ASD) are a group of conditions caused by abnormalities in brain development that can affect communication skills and social behaviour. Children with ASD often experience co-occurring language impairments, ranging from mild language deficits to a complete inability to speak.  

The causes of language impairment in ASD are not yet well understood. Researchers believe that the neurobiological mechanisms of autism stem from an imbalance between excitatory and inhibitory processes in the cerebral cortex, driven by oscillations of nerve cells in the brain. These oscillations produce weak but detectable electromagnetic signals, such as alpha, beta, and gamma rhythms, which can be measured using magnetoencephalography (MEG).  

An international team of researchers, including scientists from the HSE Centre for Language and Brain, studied alpha rhythm oscillations (markers of excitability) in children with autism. Alpha rhythms play a key role in processing sensory information and maintaining attention, eg during auditory perception. 

The scientists explored the relationship between sound perception and language impairment in children with ASD. To achieve this, they used magnetoencephalography to measure brain activity in 20 children with autism of varying severity and in 20 typically developing controls. All study participants underwent clinical and behavioural language assessments, as well as tests for nonverbal intelligence (IQ) and the severity of autistic traits. Their language skills were measured using RuCLAB (Russian Child Language Assessment Battery). During the MEG, participants were presented with sound stimuli while their brain activity was measured, requiring no special actions from them. The authors of the experiment monitored alpha oscillations both at rest and during the processing of presented audio signals.

It was found that children with autism exhibit impaired alpha rhythms both during auditory perception and at rest. Typically, when sounds are processed in the auditory cortex, the power of alpha waves decreases significantly, while it increases during rest. The opposite pattern was observed in children with autism. 

Fig. 1. Comparison of response to auditory stimuli between children with and without ASD. A. Time-frequency maps of alpha-band activity in the auditory regions of the left and right hemispheres for both groups of children. B. Between-group differences in alpha-band event-related desynchronization (ERD) as a percentage of baseline levels at rest (source: Arutiunian et al., 2024, Brain Structure and Function)

'A slight decrease in alpha rhythm power during auditory information processing in children with autism indicates increased excitability of neural networks in the auditory cortex, confirming an imbalance between excitation and inhibition in the cerebral cortex,' explains Vardan Arutiunian, co-author of the study and research fellow at the Seattle Children's Research Institute, USA.

The authors of the paper also found a link between brain activity at rest in the left auditory cortex and the language abilities of children with ASD. The researchers converted the complex, multidimensional MEG signals into a set of parameters, analysed them, and discovered that one component of the signal (offset), which reflects the average frequency of neural discharges, is associated with language skills. The higher this parameter (and consequently, the greater the resting neural excitability in the left auditory cortex), the poorer the language skills of children with ASD. 

Olga Dragoy

'We analysed all the data collected during the experiment, including the MEG results, IQ tests, and assessments of autistic traits and language skills. It was found that children with more impaired neural processes in the left hemisphere exhibited poorer language abilities. We observed that in autism, abnormalities are present at the early stages of information processing in the auditory cortex, which can impact higher-level processes such as language,' according to Olga Dragoy, Director of the HSE Centre for Language and Brain. 

The study's findings can lead to a better understanding of the causes of language impairment in autism spectrum disorders and contribute to the development of corrective interventions. 

See also:

Scientists Test Asymmetry Between Matter and Antimatter

An international team, including scientists from HSE University, has collected and analysed data from dozens of experiments on charm mixing—the process in which an unstable charm meson oscillates between its particle and antiparticle states. These oscillations were observed only four times per thousand decays, fully consistent with the predictions of the Standard Model. This indicates that no signs of new physics have yet been detected in these processes, and if unknown particles do exist, they are likely too heavy to be observed with current equipment. The paper has been published in Physical Review D.

HSE Scientists Reveal What Drives Public Trust in Science

Researchers at HSE ISSEK have analysed the level of trust in scientific knowledge in Russian society and the factors shaping attitudes and perceptions. It was found that trust in science depends more on everyday experience, social expectations, and the perceived promises of science than on objective knowledge. The article has been published in Universe of Russia.

Scientists Uncover Why Consumers Are Reluctant to Pay for Sugar-Free Products

Researchers at the HSE Institute for Cognitive Neuroscience have investigated how 'sugar-free' labelling affects consumers’ willingness to pay for such products. It was found that the label has little impact on the products’ appeal due to a trade-off between sweetness and healthiness: on the one hand, the label can deter consumers by implying an inferior taste, while on the other, it signals potential health benefits. The study findings have been published in Frontiers in Nutrition.

HSE Psycholinguists Launch Digital Tool to Spot Dyslexia in Children

Specialists from HSE University's Centre for Language and Brain have introduced LexiMetr, a new digital tool for diagnosing dyslexia in primary school students. This is the first standardised application in Russia that enables fast and reliable assessment of children’s reading skills to identify dyslexia or the risk of developing it. The application is available on the RuStore platform and runs on Android tablets.

Physicists Propose New Mechanism to Enhance Superconductivity with 'Quantum Glue'

A team of researchers, including scientists from HSE MIEM, has demonstrated that defects in a material can enhance, rather than hinder, superconductivity. This occurs through interaction between defective and cleaner regions, which creates a 'quantum glue'—a uniform component that binds distinct superconducting regions into a single network. Calculations confirm that this mechanism could aid in developing superconductors that operate at higher temperatures. The study has been published in Communications Physics.

Neural Network Trained to Predict Crises in Russian Stock Market

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well even on complex, imbalanced data and incorporates not only economic indicators but also investor sentiment. The paper by Tamara Teplova, Maksim Fayzulin, and Aleksei Kurkin from the Centre for Financial Research and Data Analytics at the HSE Faculty of Economic Sciences has been published in Socio-Economic Planning Sciences.

Larger Groups of Students Use AI More Effectively in Learning

Researchers at the Institute of Education and the Faculty of Economic Sciences at HSE University have studied what factors determine the success of student group projects when they are completed with the help of artificial intelligence (AI). Their findings suggest that, in addition to the knowledge level of the team members, the size of the group also plays a significant role—the larger it is, the more efficient the process becomes. The study was published in Innovations in Education and Teaching International.

New Models for Studying Diseases: From Petri Dishes to Organs-on-a-Chip

Biologists from HSE University, in collaboration with researchers from the Kulakov National Medical Research Centre for Obstetrics, Gynecology, and Perinatology, have used advanced microfluidic technologies to study preeclampsia—one of the most dangerous pregnancy complications, posing serious risks to the life and health of both mother and child. In a paper published in BioChip Journal, the researchers review modern cellular models—including advanced placenta-on-a-chip technologies—that offer deeper insights into the mechanisms of the disorder and support the development of effective treatments.

Using Two Cryptocurrencies Enhances Volatility Forecasting

Researchers from the HSE Faculty of Economic Sciences have found that Bitcoin price volatility can be effectively predicted using Ethereum, the second-most popular cryptocurrency. Incorporating Ethereum into a predictive model reduces the forecast error to 23%, outperforming neural networks and other complex algorithms. The article has been published in Applied Econometrics.

Administrative Staff Are Crucial to University Efficiency—But Only in Teaching-Oriented Institutions

An international team of researchers, including scholars from HSE University, has analysed how the number of non-academic staff affects a university’s performance. The study found that the outcome depends on the institution’s profile: in research universities, the share of administrative and support staff has no effect on efficiency, whereas in teaching-oriented universities, there is a positive correlation. The findings have been published in Applied Economics.