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  • Возможности индивидуального фМРТ-картирования мозговых основ рабочей памяти с помощью задачи «N шагов назад»
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News
August 25, 2026
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.
August 24, 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.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Возможности индивидуального фМРТ-картирования мозговых основ рабочей памяти с помощью задачи «N шагов назад»

Вестник рентгенологии и радиологии. 2025. Т. 106. № 6. С. 192–206.
Pechenkova E., Паникратова Я. Р., Королькова О. А., Пчелинцева М. Е., Смирнова А. В., Mening S., Маковская Л. А., Синицын В. Е.

Background. Individual activation maps based on brain functional magnetic resonance imaging (fMRI) data cannot yet be applied to refine a patient's diagnosis and prognosis. However, tracking activation dynamics in the same patient during the course of treatment or rehabilitation can be useful for assessing their efficacy. Population-based studies often fail to identify clinically significant activation parameters and to aid interpretation. To address this gap, we propose the examination of individual differences in activation in correspondence with the state of the mental process of interest.
 

Objective: to analyze individual differences in brain activation evoked by the n-back task (working memory updating) in young and elderly healthy participants related to accuracy and response times in this task. 

Material and methods. fMRI was recorded in 16 young (18–35 years) and 16 elderly (60–75 years) healthy right-handed participants while they performed the n-back task. Group-level activation was assessed in the 2-back versus 0-back conditions. The effects of age (young/elderly), material type (verbal/nonverbal), accuracy and response times were assessed.
 

Results. In all participants, regardless of age, less effective performance in the 2-back task was accompanied by more pronounced activation. Lower accuracy was coupled with higher activation in the visual cortex bilaterally and in the right inferior frontal gyrus, while a higher response time was associated with greater activation in the right frontal components of the frontoparietal network and the right frontal pole. 

Conclusion. Our findings explain a very small portion of the variance in activation patterns in the working memory tasks, so they cannot yet be used to interpret individual activation maps. However, they could pave the way for assessing dynamics of individual patterns over time if successfully replicated in a longitudinal study.

Research target: Psychology Biology
Language: Russian
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Keywords: пожилой возрастрабочая памятьindividual differencesиндивидуальные различияfunctional magnetic resonance imagingфункциональная магнитно-резонансная томографияelderly agen-back taskвербальный материалневербальный материал working memoryздоровое старениеverbal material nonverbal materialyoung agehealthy agingзадача «N шагов назад»молодой возраст
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