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  1. 2023

  2. 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., 2023, 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE), p. 1740-1745 6 p.

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

  3. Использование методов машинного обучения для анализа паттернов активности мозга в процессе оценки себя и других людей

    Knyazev, G. G., Савостьянов, А. Н., Рудыч, П. Д. & Бочаров, А. В., 2023, In: Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 73, 2, p. 242-255 14 p., 6.

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

  4. 2022

  5. Апробация технологии оценки мимики лиц для изучения динамики функциональных состояний человека в ЭЭГ-парадигме покоя

    Savostyanov, A. N., Vergunov, E. G., Saprygin, A. E. & Lebedkin, D. A., Dec 2022, In: Vavilovskii Zhurnal Genetiki i Selektsii. 26, 8, p. 765-772 8 p., 5.

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

  6. Разработка нейронной сети для диагностики риска возникновения депрессии по экспериментальным данным стоп-сигнал парадигмы

    Zelenskih, M. O., Saprygin, A. E., Rudych, P. D., Lebedkin, D. A. & Savostyanov, A. N., Dec 2022, In: Vavilovskii Zhurnal Genetiki i Selektsii. 26, 8, p. 773-779 7 p., 6.

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

  7. Harmonized-Multinational qEEG norms (HarMNqEEG)

    Li, M., Wang, Y., Lopez-Naranjo, C., Hu, S., Reyes, R. C. G., Paz-Linares, D., Areces-Gonzalez, A., Hamid, A. I. A., Evans, A. C., Savostyanov, A. N., Calzada-Reyes, A., Villringer, A., Tobon-Quintero, C. A., Garcia-Agustin, D., Yao, D., Dong, L., Aubert-Vazquez, E., Reza, F., Razzaq, F. A., Omar, H., & 19 othersAbdullah, J. M., Galler, J. R., Ochoa-Gomez, J. F., Prichep, L. S., Galan-Garcia, L., Morales-Chacon, L., Valdes-Sosa, M. J., Tröndle, M., Zulkifly, M. F. M., Abdul Rahman, M. R. B., Milakhina, N. S., Langer, N., Rudych, P., Koenig, T., Virues-Alba, T. A., Lei, X., Bringas-Vega, M. L., Bosch-Bayard, J. F. & Valdes-Sosa, P. A., 1 Aug 2022, In: NeuroImage. 256, 119190.

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

  8. Studies of the 5-HTTLPR Serotonin Transporter Polymorphism (literature review)

    Proshina, E. A., Bocharov, A. V., Savostyanov, A. N. & Knyazev, G. G., Jul 2022, In: Neuroscience and Behavioral Physiology. 52, 6, p. 899-909 11 p.

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

  9. The Association between Emotion Regulation Strategy and Oscillation Balance of Resting State Networks

    Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Proshina, E. A. & Knyazev, G. G., Feb 2022, In: Human Physiology. 48, 1, p. 30-36 7 p., 4.

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

  10. ICBrainDB: An Integrated Database for Finding Associations between Genetic Factors and EEG Markers of Depressive Disorders

    Ivanov, R., Kazantsev, F., Zavarzin, E., Klimenko, A., Milakhina, N., Matushkin, Y. G., Savostyanov, A. & Lashin, S., Jan 2022, In: Journal of Personalized Medicine. 12, 1, 53.

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

  11. Connectivity Analysis for Measuring of DMN Activity

    Zavarzin, E. A., Savostyanov, A. N., Karpova, A. G. & Milakhina, N. S., 2022, Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, p. 318-321 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2022-June).

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

  12. Mental Chronometry of Speech Comprehension and Data Science Approach to Intelligent Database in Cognitive Science

    Lebedkin, D. A., Saprygin, A. E., Vergunov, E. G. & Savostyanov, A. N., 2022, Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, p. 519-524 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2022-June).

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

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