1. 2024
  2. Development of the EEG and Genetic Module for the ICBrainDB Experimental Database to Search for Depressive Disorder Markers

    Zorina, K. A., Ibrahim, F. A. A., Mishchenko, N. G., Zozulya, A. A., Saprygin, A. E. & Savostyanov, A. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2180-2183 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. The Application of Machine-Learning Approach for the Classification of People According to Their Participation in Meditation based on Neurophysiological Data

    Istomina, N. A., Fu, X., Tamozhnikov, S. S., Saprygin, A. E. & Savostyanov, A. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2170-2173 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  4. Связь фокуса внимания на себе и чувствительности к искажениям собственного лица

    Bocharov, A. V., Savostyanov, A. N., Rudych, P. D., Saprygin, A. E., Tamozhnikov, S. S. & Knyazev, G. G., 2024, In: Experimental Psychology (Russia). 17, 3, p. 52-67 16 p., 4.

    Research output: Contribution to journalArticlepeer-review

  5. 2023
  6. Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data

    Fu, X., Tamozhnikov, S. S., Saprygin, A. E., Istomina, N. A., Klemeshova, D. I. & Savostyanov, A. N., Dec 2023, In: Vavilovskii Zhurnal Genetiki i Selektsii. 27, 7, p. 851-858 8 p.

    Research output: Contribution to journalArticlepeer-review

  7. Characteristics of the Balance of Resting State Networks after Migration to the Conditions of the North

    Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Karpova, A. G., Saprigyn, A. E., Milakhina, N. S., Zavarzin, E. A., Rudich, P. D., Merkulova, E. A. & Knyazev, G. G., Oct 2023, In: Neuroscience and Behavioral Physiology. 53, 8, p. 1441-1448 8 p.

    Research output: Contribution to journalArticlepeer-review

  8. Use of Machine Learning Methods to Analyze Patterns of Brain Activity during Assessment of the Self and Others

    Knyazev, G. G., Savostyanov, A. N., Rudych, P. D. & Bocharov, A. V., Sept 2023, In: Neuroscience and Behavioral Physiology. 53, 7, p. 1210-1218 9 p.

    Research output: Contribution to journalArticlepeer-review

  9. Fast changes in default and control network activity underlying intraindividual response time variability in childhood: Does age and sex matter?

    Privodnova, E. Y., Slobodskaya, H. R., Savostyanov, A. N., Bocharov, A. V., Saprigyn, A. E. & Knyazev, G. G., May 2023, In: Developmental Psychobiology. 65, 4, 14 p., e22382.

    Research output: Contribution to journalArticlepeer-review

  10. Suppression of Alpha and Beta Oscillations in the Course of Virtual Social Interactions

    Bocharov, A. V., Savostyanov, A. N., Saprygin, A. E., Merkulova, E. A., Tamozhnikov, S. S., Proshina, E. A. & Knyazev, G. G., Feb 2023, In: Human Physiology. 49, 1, p. 35-43 9 p.

    Research output: Contribution to journalArticlepeer-review

  11. Electrophysiological signatures of resting state networks under new environmental conditions

    Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Karpova, A. G., Milakhina, N. S., Zavarzin, E. A., Saprigyn, A. E. & Knyazev, G. G., 18 Jan 2023, In: Neuroscience Letters. 794, 5 p., 137012.

    Research output: Contribution to journalArticlepeer-review

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