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  1. 2025

  2. Multi-Modal Fusion of EEG and Genetic Markers for Depression Prediction from ICBrainDB

    Firoz, N., Berestneva, O. G., Savostyanov, A. & Aksyonov, S. V., 18 Dec 2025, 2025 IEEE XVII International Scientific and Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). Institute of Electrical and Electronics Engineers Inc., p. 1-9 9 p.

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

  3. 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

  4. Depression Detection Through EEG Signal Analysis: A Convolutional Autoencoder Deep Learning Model

    Firoz, N., Aksyonov, S. V., Berestneva, O. G. & Savostyanov, A., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1820-1825 6 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. Компьютерная реконструкция и анализ генных сетей, контролирующих уровень тревожности у лабораторных мышей и человека

    Vergunov, E. G., Savostyanov, V. A., Makarova, A. A., Nikolaeva, E. I. & Savostyanov, A. N., Feb 2025, In: Vavilovskii Zhurnal Genetiki i Selektsii. 29, 1, p. 162-170 9 p.

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

  6. Assessing the dependence of brain activity on individual single-nucleotide variability of genetic markers of major depressive disorder using principal component analysis

    Zorina, K. A., Kriveckiy, A. A., Karmanov, V. S. & Savostyanov, A. N., 2025, In: Vavilovskii Zhurnal Genetiki i Selektsii. 29, 7, p. 1129-1136 8 p., 20.

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

  7. In silico reconstruction of the gene network for cytokine regulation of ASD-associated genes and proteins

    Levanova, N. M., Vergunov, E. G., Savostyanov, A. N., Yatsyk, I. V. & Ivanisenko, V. A., 2025, In: Вавиловский журнал генетики и селекции. 29, 7, p. 1000-1008 9 p., 8.

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

  8. 2024

  9. Скрипты для проведения поведенческого и ЭЭГ обследования и оценки показателей исполнительного контроля поведения в парадигмах Стоп-сигнал и odd-ball

    Савостьянов, А. Н., 20 Dec 2024, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2024691304, 4 Dec 2024, Priority date 4 Dec 2024, Priority No. 2024690279

    Research output: Patent › Software registration

  10. Способ регистрации и обработки поведенческих и нейрофизиологических показателей, отражающих индивидуальные особенности произвольного контроля внимания и двигательных реакций у человека

    Савостьянов, А. Н. & Сапрыгин, А. Е., 10 Dec 2024, Редакционно-издательский центр НГУ, Patent No. 114, 10 Dec 2024, Priority date 10 Dec 2024

    Research output: Patent › Know-how registration

  11. Association of autistic personality traits with the EEG scores in non-clinical subjects during the facial video viewing

    Savostyanov, A. N., Kuleshov, D. A., Klemeshova, D. I., Vlasov, M. S. & Saprygin, A. E., Dec 2024, In: Vavilovskii Zhurnal Genetiki i Selektsii. 28, 8, p. 1018-1024 7 p.

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

  12. 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

  13. 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 proceeding › Conference contribution › Research › peer-review

  14. 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 proceeding › Conference contribution › Research › peer-review

  15. 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

  16. 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: Журнал высшей нервной деятельности им. И. П. Павлова. 74, 6, p. 717-726 10 p.

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

  17. 2023

  18. 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 journal › Article › peer-review

  19. 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

  20. 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

  21. 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

  22. 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 journal › Article › peer-review

  23. 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 journal › Article › peer-review

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