Персона:
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.

Фамилия

Ушаков

Имя

Вадим Леонидович

Полная страница элемента

Результаты поиска

Теперь показываю 1 - 10 из 84

Только метаданные
The Solution to the Problem of Classifying High-Dimension fMRI Data Based on the Spark Platform
(2021) Efitorov, A.; Orlov, V.; Dolenko, S.; Shiroky, V.; Ushakov, V. L.; Широкий, Владимир Романович; Ушаков, Вадим Леонидович
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.This paper compares approaches to solving the classification problem based on fMRI data of the original dimension using the big data platform Spark. The original data is 4D fMRI time series with time resolution (TR) = 0.5 s for one sample recording. Participants have to solve 6 tasks, requiring activating various types of thinking, during 30 min session. A large number of subjects and a short time resolution generated the dataset with more than 86 000 samples, which allowed applying machine learning methods to solve this problem, instead of classical statistical maps. The random forest model was used to solve the binary classification problem. The paper analyzes model performance dependence upon time during the problem solving sessions. Evidence has been obtained that there is some limited time required for solving the same type of problems, and if more time is spent, this is due to the fact that the brain does not instantly get involved in the work on the proposed task, but it is still staying at resting state for some time.
Открытый доступ
The Activity of Human Mirror Neurons during Observation and Time Perception
(2019) Bushov, Yu. V.; Svetlik, M. V.; Esipenko, E. A.; Orlov, V. A.; Kartashov, S. I.; Ushakov, V. L.; Ушаков, Вадим Леонидович
The aim of the investigation was to study the activity of human mirror neurons during observation and perception of short time intervals depending on brain laterality. Materials and Methods. The study involved young male volunteers aged 18-27 years. During the preliminary examination, the features of brain laterality were investigated determining the dominant hand (by questioning) and the language-dominant hemisphere (dichotic test) EEG was recorded using the 10-20% system in frontal, central, temporal, parietal, and occipital leads during observation and measurement of short time intervals, observation and reproduction of a five-second rhythm. To study spatial localization of mirror neurons, in some experiments, brain activity was analyzed during observation and time perception using functional magnetic resonance imaging (fMRI). Mu rhythm depression and cortical interactions between the central and other cortical zones at mu frequency were used as EEG markers of mirror neuron activation. Results. It has been found that observation and execution of actions related to time perception by the subjects are accompanied by EEG mu rhythm depression and, most often, increased levels of cortical connections at mu frequency. The nature of these changes depends on mu frequency, brain laterality, the type and stage of the performed activity. The results of fMRI scanning during observation and time perception show that time perception processes actually involve two systems working together. They are the mirror neuron system including areas of the premotor, motor, sensorimotor and supplementary motor cortex as well as areas of the putamen, the caudate nucleus, the supramarginal gyrus, the temporal lobes of the brain, and the timing system including areas of the callosal gyrus, the left thalamus, the temporal lobes of the brain, the visual cortex, the precuneus and the cerebellum. The results of the study have significant theoretical importance for understanding the role of mirror neurons in time perception processes.
Только метаданные
Lateralization in Neurosemantics: Are Some Lexical Clusters More Equal Than Others?
(2021) Nosovets, Z.; Velichkovsky, B. M.; Zaidelman, L.; Orlov, V.; Ushakov, V.; Ушаков, Вадим Леонидович
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.In this study, we have implemented neurosemantic analysis to identify brain’s voxel-wise representations of words in Russian spoken narratives and their asymmetries in the brain. 25 subjects listen to five stories, first person narratives of dramatic events, while their brain activation was registered by 3T functional magnetic resonance imaging (fMRI). Seven best subjects in terms of their engagement and objective control of brain reaction were selected for further analysis. Twelve lexical clusters were found, with different semantics – from time-and-space concepts to human actions and mental states. Clusters “experience” and “threat” were ones that on average demonstrated a symmetrical localization. For other clusters, brain localization has a left-sided bias. Our results support the view of non-modular and widely distributed nature of semantic representations, not limited to the activity of structures in the temporal and frontal lobes. These results also demonstrate that the right hemisphere can be involved in representation of mental lexicon. Our findings were broadly consistent with those reported for the English language, which points to the universality of the factors governing brain’s lexical representations.
Только метаданные
Creating A dynamic cognovisor – Brain activity recognition using principal Component analysis and Machine learning models
(2025) Gadzhiev, I. M.; Makarov, A. S.; Ushakov, V. L.; Orlov, V. A.; Гаджиев, Исмаил Маратович; Ушаков, Вадим Леонидович
Только метаданные
A Comparison of Regional Brain Volumes in Older Adults With and Without History of COVID-19
(2022) Vlasenko, A. P.; Naumov, P. Yu.; Silaeva, S. V.; Sinev, V. V.; Syunyakov, T.; Шараев, М. Г.; Савилов, В. Б.; Ushakov, V.; Бибяев, А. Н.; Ушаков, Вадим Леонидович
Открытый доступ
New Insights into the Human Brain's Cognitive Organization: Views from the Top, from the Bottom, from the Left and, particularly, from the Right
(2020) Velichkovsky, B.; Nedoluzhko, A.; Goldberg, E.; Efimova, O.; Ushakov, V.; Ушаков, Вадим Леонидович
© 2020 The Authors. Published by Elsevier B.V.The view that the left cerebral hemisphere in humans dominates over the subdominant right hemisphere has been so deeply entrenched in neuropsychology that no amount of evidence seems able to overcome it. In this article, we examine inhibitory cause-and-effect connectivity among human brain structures related to different parts of the triune evolutionary stratification- A rchicortex, paleocortex and neocortex-in relation to early and late phases of a prolonged resting-state functional magnetic resonance imaging (fMRI) experiment. With respect to the evolutionarily youngest parts of the human cortex, the left and right frontopolar regions, we also provide data on the asymmetries in underlying molecular mechanisms, namely on the differential expression of the protein-coding genes and regulatory microRNA sequences. In both domains of research, our results contradict the established view by demonstrating a pronounced right-to-left vector of causation in the hemispheric interaction at multiple levels of brain organization. There may be several not mutually exclusive explanations for the evolutionary significance of this pattern of lateralization. One of the explanations emphasizes the computational advantage of separating the neural substrates for processing novel information ( exploration ) mediated predominantly by the right hemisphere, and processing with reliance on established cognitive routines and representations ( exploitation ) mediated predominantly by the left hemisphere.
Только метаданные
A novel methodology for simulation of eeg traveling waves on the folding surface of the human cerebral cortex
(2019) Verkhlyutov, V. M.; Balaev, V. V.; Velichkovsky, B. M.; Ushakov, V. L.; Ушаков, Вадим Леонидович
© Springer Nature Switzerland AG 2019. There is an ample evidence on the existence of traveling waves in the cortex of subhuman animals such as rats, ferrets, monkey, and even birds. These waves have been registered invasively by electrical and optical imaging techniques. Such methodology is not possible in healthy humans. Non-invasive EEG recordings show scalp waves propagation at rates two orders greater than the data obtained invasively in animal experiments. At the same time, it has recently been argued that the traveling waves of both local and global nature do exist in the human cortex. In this article, we report a novel methodology for simulation of EEG spatial dynamics as produced by depolarization waves with parameters taken from animal models. Our simulation of radially propagating waves takes into account the geometry of the surface of the gyri and sulci in the areas of the visual, motor, somatosensory and auditory cortex. The dynamics of the electrical field distribution on the scalp in our simulations is fully consistent with the experimental EEG data recorded in humans.
Открытый доступ
The architecture of neural networks for enhanced autobiographical memory access: A functional MRI study
(2020) Zhigulina, P.; Malakhov, D.; Orlov, V.; Novikov, K.; Ushakov, V.; Kartashov, S.; Ушаков, Вадим Леонидович
© 2020 The Authors. Published by Elsevier B.V.The paper reports results of the first neuroimaging study of a peculiar phenomenon of autobiographical human memory (AM)- A state of enhanced memory access . The objective of this work was to determine the AM network and the AM gate, i.e. the brain structures responsible for access to the entire memory network. In the framework of the experiment, fMRI images of the volunteers' brains were obtained during normal and enhanced autobiographical memory retrieval, then pre-processing and processing of these data were performed, the areas involved in actualization of the AM on the individual and group levels were identified, after that the connections between these areas were exposed and visualized, and a meta-analysis of the data received at individual level were performed. The areas that were identified in the state of enhanced memory retrieval significantly overlap with the already known AM network, but activations were also detected in areas not mentioned earlier in the papers on AM. Also we report evidence, that achievement of the enhanced memory access has individual threshold for each subject.
Только метаданные
fMRI Study of Brain Activity in Men and Women During Rhythm Reproduction and Measuring Short Time Intervals
(2022) Kartashov, S. I.; Orlov, V. A.; Svetlik, M. V.; Bushov, V. Y.; Ushakov, V. L.; Ушаков, Вадим Леонидович
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The aim of the research was to study the men and women brain activity in during memorizing and reproducing rhythm (5 s) and measuring short time intervals (0.8 s) by fMRI method. Volunteers are young people (boys and girls) aged 18 to 27 years. It was shown that extensive brain areas (prefrontal and motor cortex, insular cortex, sensory and associative areas of the parietal and temporal cortex, amygdala, hippocampus, thalamus, basal ganglia and cerebellum) are involved in providing sensorimotor activity associated with rhythm reproduction and measuring short time intervals. It was found that the measurement of short time intervals is partially provided by the same brain structures as the rhythm reproduction. When measuring the duration, the activation in both hemisphere of a number of additional structures (frontal pole, supraorbital gyrus, angular gyrus, temporal area and some other cortical areas) was detected. The results of this study indicate that the “brain support” of sensorimotor activity associated with rhythm reproduction and measuring short time intervals significantly depends on the method of scaling time intervals and gender differences.
Только метаданные
Recognition of Spoken Words from MEG Data Using Covariance Patterns
(2023) Verkhlyutov, V.; Burlakov, E.; Vvedensky, V.; Gurtovoy, K.; Ushakov, V.; Ушаков, Вадим Леонидович