Персона: Гуляев, Сергей Александрович
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Инженерно-физический институт биомедицины
Цель ИФИБ и стратегия развития – это подготовка высококвалифицированных кадров на базе передовых исследований и разработок новых перспективных методов и материалов в области инженерно-физической биомедицины. Занятие лидерских позиций в биомедицинских технологиях XXI века и внедрение их в образовательный процесс, что отвечает решению практикоориентированной задачи мирового уровня – диагностике и терапии на клеточном уровне социально-значимых заболеваний человека.
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Сергей Александрович
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- ПубликацияТолько метаданныеTHE ISSUE OF PRESERVING INTERICTAL ACTIVITYIN LONG-TERM EEG STUDIES OF EPILEPSY ВОПРОС СОХРАНЕНИЯ ИНТЕРИКТАЛЬНОИ АКТИВНОСТИ В ДЛИТЕЛЬНЫХ ЭЭГ-ИССЛЕДОВАНИЯХ ЭПИЛЕПСИИ(2024) Gulyaev, S. A.; Klimanov, S. G.; Germashev, G. A.; Garmash, A. A.; Гуляев, Сергей Александрович; Климанов, Сергей Геннадиевич; Гармаш, Александр Александрович
- ПубликацияТолько метаданныеAdvanced electroencephalographic system-based neurophysiological methods to elucidate a mechanism of cognitive dysfunction associated with hepatolenticular degeneration(2024) Ovchinnikova, E.V.; Schneider, N.A.; Ovchinnikova, A.A.; Nasyrova, R.F.; Gulyaev, S.A.; Гуляев, Сергей Александрович
- ПубликацияТолько метаданныеSTUDYING VISUAL GNOSIS THROUGH EEG MICROSTATE ANALYSIS [ИССЛЕДОВАНИЕ ЗРИТЕЛЬНОГО ГНОЗИСА С ПОМОЩЬЮ АНАЛИЗА ЭЭГ-МИКРОСОСТОЯНИИ](2022) Gulyaev, S. A.; Гуляев, Сергей АлександровичObjective diagnostic assessment of the human thought processes is an important issue of modern neurophysiology. The study was aimed to develop a system to analyze visual gnostic processes as a model of higher nervous function. A total of 30 people aged 30–60 having no acute disorders, exacerbations of chronic disorders or significant vision problems were examined. Electroencephalography analysis included EEG artifact removal, clustering and distinguishing specific EEG microctates according to the selected model with subsequent localization of the main source of activity, that had generated the EEG microstate, through the algorithms for solving the inverse EEG problem implemented in the sLORETA software package. When running the visual gnosis test (looking at written symbols), activity was recorded within a larger number of Brodmann areas compared to the state of relaxed wakefulness. Activity was detected within Brodmann areas 18 and 19 (11 and 45%, respectively) responsible for visual perception of images, area 39 being a part of Wernicke's area (6%), and the structures of premotor and prefrontal areas (areas 6–11) (up to 11%) (p < 0.001; Pearson's chi-squared test). Microstates defined when a subject is in a state of relaxed wakefulness or under visual load are not identical. Rather these are gauge derivatives of clustering in the context of used mathematical model. Solving the inverse EEG problem at the final stage of the study makes it possible to define the average sequences of rhythmic activity associated with realization of visual gnostic function. © 2022 Federal Medical Biological Agency Publishing Group. All Rights Reserved.
- ПубликацияТолько метаданныеFEATURES OF BIOELECTRIC ACTIVITY OF THE RETROSPLENIAL CORTEX(2023) Gulyaev, S. A.; Khanukhova, L. M.; Garmash, A. A.; Гуляев, Сергей Александрович; Гармаш, Александр Александрович
- ПубликацияТолько метаданныеNEUROPHYSIOLOGICAL METHOD FOR STUDYING CHANGES IN THE BRAIN’S DEFAULT MODE NETWORK ACTIVITY НЕИРОФИЗИОЛОГИЧЕСКИИ МЕТОД ИССЛЕДОВАНИЯ ИЗМЕНЕНИЯ АКТИВНОСТИ СЕТИ ПАССИВНОИ РАБОТЫ ГОЛОВНОГО МОЗГА(2023) Gulyaev, S. A.; Khanukhova, L. M.; Garmash, A. A.; Гуляев, Сергей Александрович; Гармаш, Александр Александрович
- ПубликацияОткрытый доступFEATURES OF EEG MICROSTATE ANALYSIS IN POST-STROKE APHASIA(2023) Gulyaev, S. A.; Khanukhova, L. M.; Garmash, A. A.; Гуляев, Сергей Александрович; Гармаш, Александр АлександровичKnowledge about the specificity of changes in the activity of neural networks associated with realization of thought processes can be used to construct the personalized medical rehabilitation systems. This approach is of particular interest for people with the speech function disturbance due to stroke, since the development of aphasia with the loss of speech leads to severe social maladaptation that worsens the disease outcome. The study was aimed to assess the functional activity of individual neural networks based on the theory of combining the EEG microstate identification technique with the method of determining spatial localization by solving the EEG inverse problem in 27 individuals (15 males and 12 females) with an average age of 52 years, who had speech impairment due to acute atherothrombotic stroke. Mathematical analysis of the scalp bioelectrical activity multichannel recording from the system for EEG microstate model isolation was carried out under changing environmental conditions caused by the auditory-speech load together with the EEG inverse problem solution for each subject. It was found that the speech disorder development depends not only on the fact of damage to brain structures, but also on the deep functional restructuring of both neural streams involved in implementation of brain function and the entire speech connectome. The disease with a predominant motor disorder, that has shown the possibility of transferring functions to the intact hemisphere prefrontal structures, in contrast to sensory disorders representing global changes in the entire speech connectome, can probably be considered the most favorable variant of aphasia.