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  • Параметры ЭЭГ состояний покоя коррелируют с данными УЗДГ МАГ и когнитивными нарушениями у пациентов с хронической ишемией мозга и инсультом различной латерализации
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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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Параметры ЭЭГ состояний покоя коррелируют с данными УЗДГ МАГ и когнитивными нарушениями у пациентов с хронической ишемией мозга и инсультом различной латерализации

Журнал высшей нервной деятельности им. И.П. Павлова. 2016. Т. 66. № 6. С. 698–709.
Портнова Г. В., Атанов М. С., Гладун К. В., Martynova O.

 The paper presents the results of complex ischemia study using background (resting) EEG, blood flow rates in major head arteries and cognitive tests. The examined subjects were: patients with severe atrophy of cerebral hemisphere (N  = 35), patients after left (N  = 34) and right (N  = 32) stroke and healthy volunteers (N  = 42). Resting state clusters having specific frequency pattern, topography and time of presence were discriminated from EEG for each group. Clusters observed in healthy subjects were almost or even completely absent in patients with ischemia. Their time of presence correlated directly with blood flow rates in head arteries and inversely with stenosis level in internal carotid artery. Further, there were clusters specific to patients groups, also being correlated with stenosis level. “Ischemic” clusters proved to be quite similar for patients with SACH and after right stroke, but they were completely different in patients after left stroke. Time of presence of these clusters correlated with cognitive tests scores. The results prove the resting EEG analysis to be applicable for ischemia diagnosis as an additional instrument.

Research target: Psychology
Priority areas: humanitarian
Language: Russian
Keywords: кластерный анализEEGЭЭГинсультstrokecarotid stenosisischemiaDoppler ultrasoundk-mean clusteringуровень стенозаишемияскорость кровотокаДЭПкогнитивные тесты
Publication based on the results of:
Активное и пассивное декодирование нейрональных процессов при выполнении когнитивных и нейроэкономических задач (2016)
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