Search Results - "Saprygin, A E"

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  1. 1

    Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data by Fu, X, Tamozhnikov, S S, Saprygin, A E, Istomina, N A, Klemeshova, D I, Savostyanov, A N

    “…The development of objective methods for assessing stress levels is an important task of applied neuroscience. Analysis of EEG recorded as part of a behavioral…”
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    Journal Article
  2. 2

    Development of a neural network for diagnosing the risk of depression according to the experimental data of the stop signal paradigm by Zelenskih, M O, Saprygin, A E, Rudych, P D, Lebedkin, D A, Savostyanov, A N

    “…These days, the ability to predict the result of the development of the system is the guarantee of the successful functioning of the system. Improving the…”
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  3. 3

    Validation of a face image assessment technology to study the dynamics of human functional states in the EEG resting-state paradigm by Savostyanov, A N, Vergunov, E G, Saprygin, A E, Lebedkin, D A

    “…The article presents the results of a study aimed at finding covariates to account for the activity of implicit cognitive processes in conditions of functional…”
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  4. 4
  5. 5

    EEG Correlates of Competition and Cooperation by Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Rudych, P. D., Zavarzin, E. A., Saprygin, A. E., Merkulova, E. A., Knyazev, G. G.

    Published in Human physiology (2024)
    “…The aim of this study was to investigate the peculiarities and localization of the current source of α- and θ-rhythms accompanying competition and cooperation…”
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  6. 6

    Suppression of Alpha and Beta Oscillations in the Course of Virtual Social Interactions by Bocharov, A. V., Savostyanov, A. N., Saprygin, A. E., Merkulova, E. A., Tamozhnikov, S. S., Proshina, E. A., Knyazev, G. G.

    Published in Human physiology (01-02-2023)
    “…— The study involved 42 individuals (including 25 women) in the age range from 18 to 41. The aim of the study was to investigate the peculiarities of…”
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  7. 7

    EEG Correlates of the Implicit Perception of the Emotional Coloring of Sentences and Personal Characteristics of the Control of the Emotions by Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Saprygin, A. E., Merkulova, E. A., Proshina, E. A., Knyazev, G. G.

    Published in Neuroscience and behavioral physiology (01-11-2021)
    “…The aim of the present work was to study the relationships between the individual characteristics of emotional control and changes in brain bioelectrical…”
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  8. 8

    Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks by Bocharov, A. V., Knyazev, G. G., Savostyanov, A. N., Saprygin, A. E., Proshina, E. A., Tamozhnikov, S. S.

    Published in Human physiology (2021)
    “…The aim of the research was to study the effect of depression, anxiety, and rumination scores on the balance of activity of the default mode network and…”
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  9. 9

    Depressive Symptomatology and the Activity of Oscillatory Resting State Networks by Knyazev, G. G., Savost’yanov, A. N., Bocharov, A. V., Saprygin, A. E., Tamozhnikov, S. S.

    Published in Neuroscience and behavioral physiology (01-10-2016)
    “…Depression is among the commonest mental illnesses associated with changes in the emotional domain and the function of the brain’s default mode network (DMN)…”
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  10. 10

    Vulnerability to Depression and Oscillatory Resting-State Networks by Knyazev, G G, Savostyanov, A N, Bocharov, A V, Saprygin, A E, Tamozhnikov, S S

    “…Depression is the most commonly observed mood disorder, which is accompanied by changes in emotional processes and the default mode network (DMN) activity. In…”
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