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  1. 2025

  2. Predicting Major Depressive Disorder Using Neural Networks from Spectral Measures of EEG Data

    Kozulin, I., Merkulova, E., Savostyanov, V., Shi, H., Wang, X., Bocharov, A. & Savostyanov, A., 16 Nov 2025, In: Bioengineering (Basel, Switzerland). 12, 11, 23 p., 1251.

    Research output: Contribution to journal › Article › peer-review

  3. Analysis of Equivalent EEG Dipoles During Cooperation and Competition in a Computer Game

    Lebedkin, D., Bocharov, A., Tamozhnikov, S., Merkulova, E. & Knyazev, G., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1760-1763 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Using Machine Learning Methods to Search for EEG and Genetic Markers of Depressive Disorder

    Zorina, K., Kriveckiy, A., Klemeshova, D., Bocharov, A. & Karmanov, V., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1790-1793 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. 2024

  6. Comparison of brain activity metrics in Chinese and Russian students while perceiving information referencing self or others

    Si, Q., Tian, J., Savostyanov, V. A., Lebedkin, D. A., Bocharov, A. V. & Savostyanov, A. N., Dec 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 982-992 11 p.

    Research output: Contribution to journal › Article › peer-review

  7. 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 journal › Article › peer-review

  8. ФМРТ-исследование связи нейротизма с индивидуальными различиями в активности мозга в процессе социальных взаимодействий

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V. & Saprigyn, A. E., 2024, In: Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 74, 6, p. 717-726 10 p.

    Research output: Contribution to journal › Article › peer-review

  9. 2023

  10. 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 journal › Article › peer-review

  11. 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 journal › Article › peer-review

  12. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 29 Jun 2023, p. 1740-1745. 6 p.

    Research output: Contribution to conference › Paper › peer-review

  13. 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 journal › Article › peer-review

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