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Ушаков, Вадим Леонидович

Организационные подразделения

Организационная единица

Институт интеллектуальных кибернетических систем

Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.

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Ушаков

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Вадим Леонидович

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Теперь показываю 1 - 10 из 87

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A Review of Method and Approaches for Resting State fMRI Analyses
(2020) Orlov, V. A.; Kozlov, S. O.; Enyagina, I. M.; Poyda, A. A.; Ushakov, V. L.; Ушаков, Вадим Леонидович
© 2020, Springer Nature Switzerland AG.Resting-state functional Magnetic Resonance Imaging (R-fMRI) measures spontaneous low-frequency oscillations of the BOLD signal in order to identify the functional architecture of the human brain. The analysis of such data allowed to identify resting state networks (RSN) and other areas of the brain that operate synchronously in time. Over the past few years, the interest of both scientists and clinicians to various methods of R-fMRI data analysis has greatly increased. In this article, we present a review and comparison of various methods and algorithms for analyzing the functional connectivity of the human brain in resting state, developed in the world, based on an analysis of the literature.
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Assessing the impact of the de novo SLC6A1 mutation in schizophrenia through a comprehensive case study
(2023) Kondratyev, N. V.; Alfimova, M. V.; Kaleda, V. G.; Lezheiko, T. V.; Ushakov, V. L.; Ушаков, Вадим Леонидович
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Information agenda as an analogue of attention in sociomorphic neuronal networks
(2022) Andreyuk, D.; Petrunin, Y.; Shuranova, A.; Ushakov, V.; Ушаков, Вадим Леонидович
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Basic Cognitive Architecture, Systemic Inflammation, and Immune Dysfunction in Schizophrenia
(2019) Ushakov, V. L.; Malashenkova, I. K.; Krynskiy, S. A.; Kartashov, S. I.; Ушаков, Вадим Леонидович
The aims of the project were to study the architecture of the brain's neural networks in the process of perceiving individual stimuli that are personally significant, to evaluate the main parameters of immunity and systemic inflammation, and to relate those to brain damage markers and patterns of cognitive-affective disorders in patients with schizophrenia. Materials and Methods. The study involved 35 patients with paranoid schizophrenia and 17 people without cognitive impairment. Clinical information about patients was obtained from the database created in the Alekseev Psychiatric Clinical Hospital No.1, Moscow Department of Health. The immunological arm of the study included the determination of key cytokines, neurotrophic factors, circulating immune complexes, C-reactive protein, cortisol, and immunoglobulins in the blood serum of patients. To study the cognitive functions, original methods of selecting the stimuli and recording the vegetative reactions were used; those allowed for identifying the architecture of neural networks involved in the pathogenesis of schizophrenia. Results. In this study, for the first time, changes in humoral immunity and parameters of systemic inflammation were found in patients with schizophrenia. Those changes included an increase in the levels of cytokines IL-6, IL-8, and interferon y, persisted regardless of the duration and nature of the antipsychotic therapy. Moreover, the immunological deviations were associated with the phase of the disease, it indicating their endogenous nature and connection with the pathogenesis of schizophrenia. Our pilot neuroimaging studies showed the feasibility of using MRI-compatible polygraphy for creating a group of fMRI images suitable for statistical analysis thus providing an objective assessment of physiological reactions to the presentation of personally-significant stimuli (based on keywords and images from the patient's anamnesis). By using this approach, we were able to detect the activation of neural networks in the associative zones of the left cuneus and precuneus and the ventrolateral prefrontal cortex of both hemispheres, i.e., the areas responsible for the working memory and processes of consciousness. Conclusion. Important novel data have been obtained on the relations between neurophysiological parameters, the cytokine profile and the immune status in schizophrenia.
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The association of inflammatory status and immunological parameters with single-nucleotide polymorphisms of cytokine and Toll-like receptor genes in patients with schizophrenia
(2022) Malashenkova, I. K.; Ushakov, V. L.; Krynskiy, S. A.; Ogurtsov, D. P.; Khailov, N. A.; Moskvina, S. N.; Zakharova, N. V.; Chekulaeva, E. I.; Didkovsky, N. A.; Kostyuk, G. P.; Ушаков, Вадим Леонидович
Background: Schizophrenia is a multifactorial and clinically polymorphic disease with a significant hereditary component. The study of the influence of functionally significant polymorphisms of the genes regulating immune response and inflammation on the immune parameters in patients with schizophrenia is relevant for the development of new methods for predicting the course of the disease and finding new therapy targets. The aim of the study: To study the association of polymorphisms in cytokine and Toll-like receptor genes with the serum levels of immune mediators in patients with schizophrenia. Materials and methods: 95 patients diagnosed with schizophrenia and 99 healthy volunteers were recruited into the study. Polymorphisms of genes regulating the immune response (IL1B rs1143627, IL4 rs2243250, IL2 rs2069762, IL10 (rs1800896, rs1800872, rs1800871), IFNL rs8099917, IFNL rs12979860, TLR9 rs5743836, TLR9 rs352140, TLR3 rs3775291), the serum level of major cytokines and markers of systemic inflammation were determined. Results: The patients were found to have elevated levels of key pro-inflammatory cytokines IL-8 and IL-17A and other markers of systemic inflammation, as well as an increase in the content of antigen-antibody complexes in the bloodstream. Increased frequency of IL10 gene polymorphisms (rs1800896, rs1800872, rs1800871) was revealed in the patients with schizophrenia. A relationship between IL-6 and IL-8 levels and the carriage of IL1B T-511C (rs16944), IL10 1082A (rs1800896), IL10 592 C>A (rs1800872) and TLR3 Leu412Phe (G/A) (rs3775291) single nucleotide polymorphisms was found. Conclusion: The revealed associations may indicate a role of SNPs in cytokine and Toll-like receptor genes in modulating the network genetic interactions underlying certain immunological endophenotypes in the patients. Based on the results of this work and literature data, it is important to further study the relationship of immunogenetic markers in schizophrenia with the immune profiles of the disease and its clinical manifestations, including in larger samples of patients. © 2022 Belgorod State National Research University. All Rights Reserved.
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Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia
(2023) Malashenkova, I. K.; Ushakov, V. L.; Krynskiy, S. A.; Ogurtsov, D. P.; Ушаков, Вадим Леонидович
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The Analysis of the DMN Network of the Brain Using the Method of Segmentation of Functionally Homogeneous Regions
(2024) Kozlov, S.; Poyda, A.; Orlov, V.; Ushakov, V.; Ушаков, Вадим Леонидович
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Experimental Model of Study of Consciousness at the Awakening: FMRI, EEG and Behavioral Methods
(2019) Dorokhov, V. B.; Malakhov, D. G.; Orlov, V. A.; Ushakov, V. L.; Ушаков, Вадим Леонидович
© 2019, Springer Nature Switzerland AG. For the study of neuronal correlates of consciousness, a simple and effective model is the comparison of sleeping and waking states. Consciousness turns off during sleep and turns on at waking. The moment of awakening from sleep is a promising model for the study of neurophysiological correlates of consciousness. We developed a psychomotor test, the monotonous performance of which, causes within 60Â min alternating episodes with the disappearance of consciousness when falling asleep (the “microsleep”) and its restoration upon awakening (wakefulness). When performing this test, the subject with closed eyes counts from 1 to 10 and simultaneously presses sensitive buttons, alternately with the right and left hands. Spontaneous restoration of the test after the episode of “microsleep” requires the activation of consciousness, which is accompanied by consciously performing the test with counting and simultaneously pressing the buttons. EEG methods allow you to accurately assess the moments of the transition of sleep/wakefulness, the levels of wakefulness and the depth of sleep, and behavioral methods, by indicators of the correctness of the performance of the psychomotor test - to determine the levels of consciousness. We showed reproducibility of this test obtained both under normal conditions and in conditions of functional magnetic resonance imaging (fMRI) procedure. In 10 out of 14 subjects during a 60-min experiment performed in the MRI scanner, 3–48 episodes of “microsleep” were recorded with subsequent awakening. Preliminary results showed an increase in the activity of the visual regions (the region of the calcarine sulcus) of the cerebral cortex, left pre-cuneus/cuneus, etc. during sleep and regions of the right thalamus, left cuneus, cerebellar zones, stem structures, etc. at the moment of awakening and resumption of conscious activity.
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Comparison of Simulated Macro- and Mesoscopic Cortical Traveling Waves with MEG Data
(2021) Verkhlyutov, V. M.; Burlakov, E. O.; Velichkovsky, B. M.; Ushakov, V. L.; Ушаков, Вадим Леонидович
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.We simulated radial traveling waves of local currents on the folded surface of the human cerebral cortex. The magnetic fields on the surface of the head were calculated by individual MRI. Model MEGs were compared with experimental data using two-dimensional correlation. The maximum values of correlation coefficients were determined for traveling wave velocities of 0.2 m/s with epicenters in the occipital lobes of the brain, including V1 and V2. In these cases, a jump in the levels of maximum correlations in time and space took place. At a velocity of 6 m/s, the maximum values were lower, and the change in the level of correlations was smoothed out. The results of the study show the advantage of the intra-cortical hypothesis of the brain traveling waves.
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Neurosemantics in Functional Systems of the Brain
(2025) Ushakov, V.; Nosovets, Z.; Kotov, A.; Zaidelman, L.; Ушаков, Вадим Леонидович; Носовец, Захар Андреевич