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About national project
"Science and Universities"
Application to the IHNA RAS PhD Program

Pavel D. Bobrov

Chief of the Department, PhD in Biology

Laboratory of Mathematical Neurobiology of Learning

Publication list

Papers

  • Mitiureva D., Bobrov P.D., Rebreikina A.B., Sysoeva O.V. An inclusive paradigm to study mu-rhythm properties. International Journal Of Psychophysiology. 2023. V. 190. P. 42-55. DOI: 10.1016/j.ijpsycho.2023.05.353
  • Liaukovich K., Sazhin S., Bobrov P., Ukraintseva Y. Event-Related Potential Study of Recovery of Consciousness during Forced Awakening from Slow-Wave Sleep and Rapid Eye Movement Sleep. Int. J. Mol. Sci.. 2022. V. 23. N. 19. P. 11785. DOI: 10.3390/ijms231911785
  • Biryukova E.V., Bobrov P.D. Neurorehabilitation with the Use of an Arm Exoskeleton Controlled via Brain–Computer Interface: Implemented Interdisciplinary Project. Human Physiology. 2021. V. 47. N. 7. P. 709-715. DOI: 10.1134/S036211972107001X
  • Bobrov P.D., Biryukova E.V., Polyaev B.A., Lajsheva O.A., Usachjova E.L., Sokolova A.V., Mikhailova D.I., Dementeva K.N., Fedotova I.R. Rehabilitation of patients with cerebral palsy using hand exoskeleton controlled by brain-computer interface. Bulletin of RSMU. 2020. N. 4. P. 34-41. DOI: 10.24075/vrgmu.2020.047
  • Kondur A.A., Biryukova E.V., Frolov A.A., Bobrov P.D., Turbina L.G., Kotov S.V., Zajceva E.V. Post stroke motor function recovery using brain computer interface controllling hand exoskeleton. Delayed effect. Human Physiology. 2020. V. 46. N. 3. P. 99-110. DOI: 10.31857/S013116462003008X
  • Bobrov P.D., Biryukova E.V., Polyaev B.A., Lajsheva O.A., Usachjova E.L., Sokolova A.V., Mikhailova D.I., Dementeva K.N., Fedotova I.R. Rehabilitation of patients with cerebral palsy using hand exoskeleton controlled by brain-computer interface. Bulletin of RSMU. 2020. V. 4. P. 41-48. DOI: 10.24075/brsmu.2020.047
  • Frolov A., Bobrov P.D., Biryukova E.V., Isaev M.R., Kerechanin Y.V., Bobrov D., Lekin A. Using multiple decomposition methods and cluster analysis to find and categorize typical patterns of EEG activity in motor imagery brain–computer interface experiments. Frontiers in Robotics and AI. 2020. V. 7. Article 88. DOI: 10.3389/frobt.2020.00088
  • Kerechanin Y.V., Husek D., Bobrov P.D., Fedotova I.R., Frolov A.A. Sources of the electrical activity of brain areas involving in imaginary movements. Neuroscience and Behavioral Physiology. 2020. V. 50. N. 7. P. 845-855. DOI: 10.1007/s11055-020-00977-0
  • Kerechanin Y.V., Husek D., Bobrov P.D., Fedotova I.R., Frolov A.A. Siurce of electrical activity of brain areas involved in motion imagery. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2019. V. 69. N. 6. P. 711-725. DOI: 10.1134/S0044467719060066
  • Aziatskaya G., Lyukmanov R., Frolov A., Bobrov P.D., Fedotova I.R., Husek D., Snasel V., Suponeva N., Piradov M., Poydasheva A. Electrophysiological brain activity during motor imagery enhanced by brain–computer interface in healthy volunteers and post-stroke patients. // 31st International Congress of Clinical Neurophysiology (ICCN) of the IFCN. 2018. V. Clinical Neurophysiology, 129, S. e140.
  • Dzhalagoniya I., Biryukova E.V., Bushkova Y., Kurganskaia M., Bobrov P.D., Frolov A. Biomechanical assessment of Fugl-Meyer score: the case of one post stroke patient who has undergone the rehabilitation using hand exoskeleton controlled by brain-computer interface. International Journal of Physical Medicine & Rehabilitation. 2018. V. 6. N. 3. P. 1000468. DOI: 10.4172/2329-9096.1000468
  • Frolov A., Bobrov P.D., Biryukova E.V., Silchenko A., Kondur A., Dzhalagoniya I., Massion J. Electrical, hemodynamic, and motor activity in BCI post-stroke rehabilitation: clinical case study. Frontiers in neurology. 2018. V. 9. P. 1135. DOI: 10.3389/fneur.2018.01135
  • Frolov A.A., Bobrov P.D. Brain–computer interfaces: Neurophysiological bases and clinical applications. Neuroscience and Behavioral Physiology. 2018. V. 48. N. 9. P. 1033-1040. DOI: 10.1007/s11055-018-0666-5
  • Frolov A.A., Kozlovskaya I.B., Biryukova E.V., Bobrov P.D. Use of robotic devices in post-stroke rehabilitation. Neuroscience and Behavioral Physiology. 2018. V. 48. N. 9. P. 1053-1066. DOI: 10.1007/s11055-018-0668-3
  • Frolov A.A., Aziatskaya G.A., Bobrov P.D., Luykmanov R.Kh., Fedotova I.R., Husek D., Snashel V. Electrophysiological Brain Activity during the Control of a Motor Imagery-Based Brain–Computer Interface. Human Physiology. 2017. V. 43. N. 5. P. 17-28. DOI: 10.1134/S036211971705005X
  • Frolov A.A., Bobrov P.D. Brain computer interface: physiological basis and clinical applications. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2017. V. 67. N. 4. 365–376. DOI: 10.7868/S0044467717040013
  • Frolov A.A., Kozlovskaia I.B., Biryukova E.V., Bobrov P.D. Robotic Devices in Poststroke Rehabilitation. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2017. V. 67. N. 4. P. 394-413. DOI: 10.7868/S004446771704-0017
  • Frolov A.A., Fedotova I.R., Husek D., Bobrov P.D. Rhythmic brain activity and motor imagery brain computer interface. Uspehi fiziologicheskih nauk. 2017. V. 48. N. 3. P. 72-91.
  • Frolov A.A., Husek D., Biryukova E.V., Bobrov P.D., Mokienko O.A., Alexandrov A.V. Principles of motor recovery in post-stroke patients using hand exoskeleton controlled by the brain-computer interface based on motor imagery. Neural Network World. 2017. V. 27. N. 1. P. 107-137. DOI: 10.14311/Nnw.2017.27.006
  • Kotov S.V., Turbina L.G., Biryukova E.V., Frolov A.A., Kondur A.A., Zaitseva E.V., Bobrov P.D. Rehabilitation potential of post-stroke patients training for kinesthetic movement imagination: Motor and cognitive aspects. Human Physiology. 2017. V. 43. N. 5. P. 532-541. DOI: 10.1134/S0362119717050097
  • Biryukova E.V., Pavlova O.G., Kurganskaya M.E., Bobrov P.D., Turbina L.G., Frolov A.A., Davydov V.I., Silchenko A.V., Mokienko O.A. Arm motor function recovery during rehabilitation with the use of hand exoskeleton controlled by brain-computer interface: a patient with severe brain damage. Human Physiology. 2016. V. 42. N. 1. P. 19-30. DOI: 10.7868/S0131164616010033
  • Bobrov P.D., Isaev M.R., Korshakov A.V., Oganesyan V.V., Kerechanin Y.V., Popodko A.I., Frolov A.A. Sources of electrophysiological and foci of hemodynamic brain activity most relevant for controlling a hybrid brain-Computer interface based on classification of EEG patterns and near-infrared spectrography signals during motor imagery. Human Physiology. 2016. V. 42. N. 3. P. 12-24. DOI: 10.7868/S0131164616030048
  • Frolov A.A., Biryukova E.V., Bobrov P.D., Kurganskaya M.E., Pavlova O.G., Kondur A.A., Turbina L.G., Kotov S.V. Efficacy of complex neurorehabilitation of patients with a post-stroke arm paresis with the use of a brain-computer interface + exoskeleton system. Almanac of Clinical Medicine. 2016. V. 44. N. 3. 280–286.
  • Frolov A.A., Biryukova E.V., Pavlova O.G., Mokienko O.A., Budilin S.Yu., Kondur A.A., Ivanova G.E., Staritsyn A.N., Bushkova Yu.V., Dzhalagoniya I.Z., Aziatskaya G.A., Khizhnikova A.E., Chervyakov A.V., Lyukmanov R.Kh., Chernikova L.A., Kotov S.V., Turbina L.G., Bobrov P.D., Kurganskaya M.E., Lukyanov A.L., Nadareyshvily G.G. Preliminary results of a controlled study of BCI–exoskeleton technology efficacy in patients with poststroke arm paresis. Bulletin of RSMU. 2016. N. 2. P. 16-23.
  • Kotov S.V., Turbina L.G., Bobrov P.D., Frolov A.A., Pavlova O.G., Kurganskaya M.E., Biryukova E.V. The use of a complex “brain-computer interface and exo-skeleton” and movement imagination technique for post-stroke rehabilitation. Almanac of Clinical Medicine. 2015. V. 39. 15–21.
  • Basterrech S., Bobrov P.D., Frolov A., Husek D. Nature-inspired algorithms for selecting EEG sources for motor imagery based BCI. // Artificial Intelligence and Soft Computing, Pt Ii (Icaisc 2015). 2015. V. 9120. P. 79-90.
  • Kotov S.V., Turbina L.G., Bobrov P.D., Frolov A.A., Pavlova O.G., Kurganskaya M.E., Biryukova L.M. Rehabilitation of post stroke patients using a bioengineering system «brain-computer interface + exoskeleton. Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2014. V. 114. N. 12. P. 66-72. DOI: 10.17116/jnevro201411412266-71
  • Frolov A.A., Husek D., Bobrov P.D., Mokienko O.A., Chernikova L.A., Konovalov R.N. Localization of brain electrical activity sources and hemodynamic activity foci during motor imagery. Human Physiology. 2014. V. 40. N. 2. P. 45-56. DOI: 10.1134/S0362119714030062
  • Bobrov P.D., Frolov A., Husek D., Snasel V. Clustering the Sources of EEG Activity during Motor Imagery by Attractor Neural Network with Increasing Activity (ANNIA). // Fifth International Conference on Innovations in Bio-Inspired Computing and Applications (Ibica 2014). 2014. V. 303. P. 183-191.
  • Mokienko O.A., Chernikova L.A., Frolov A.A., Bobrov P.D. Motor imagery and its practical application. Neuroscience and Behavioral Physiology. 2014. V. 44. N. 5. P. 483-489.
  • Mokienko O.A., Bobrov P.D., Chernikova L.A., Frolov A.A. Motor imagery brain computer interface for rehabilitation of patients with hemiparesis . Bulletin of siberian medicine. 2013. V. 12. N. 2. P. 30-35.
  • Frolov A.A., Biryukova E.V., Bobrov P.D., Mokienko O.A., Platonov A.K., Pryanichnikov V.E. Principles of neurorehabilitation based on brain-computer interface and biologically plausible control of the exoskeleton. Human physiology. 2013. V. 39. N. 2. P. 99-113. DOI: 10.7868/S0131164613020033
  • Mokienko O.A., Chervyakov A.V., Kulikova S.N., Bobrov P.D., Chernikova L.A., Frolov A.A., Piradov M.A. Increased motor cortex excitability during motor imagery in brain-computer interface trained subjects. Frontiers in Computational Neuroscience. 2013. V. 7. Article 168. DOI: 10.3389/fncom.2013.00168
  • Bobrov P.D., Korshakov A.V., Roschin V.Y., Frolov A.A. Bayesian classifier for brain-computer interface based on mental representation of movements. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2012. V. 62. N. 1. P. 89-99.
  • Bobrov P.D., Korshakov A.V., Roschin V.Y., Frolov A.A. Bayesian Classifier for BrainComputer Interface Based on Mental Representation of Movements. I.P. Pavlov Journal of Higher Nervous Activity. 2012. V. 62. N. 1. P. 89-99.
  • Frolov A., Husek D., Bobrov P.D., Korshakov A., Chernikova L., Konovalov R., Mokienko O. Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery. Neural Network World. 2012. V. 22. N. 1. P. 21-37. DOI: 10.14311/Nnw.2012.22.002
  • Pryanichnikov V., Andreev V., Bobrov P.D., Biryukova E.V., Frolov A., Kharin K., Kirsanov K., Kostin A., Kuvshinov S., Marzanov Y., Prysev E. Scientific-Educational Distributed Laboratory - Software and Hardware Means. // 23rd International Daaam Symposium - Intelligent Manufacturing and Automation - Focus on Sustainability. 2012. V. 23. P. 1175-1178.
  • Bobrov P.D., Frolov A., Cantor C., Fedulova I., Bakhnyan M., Zhavoronkov A. Brain-Computer Interface Based on Generation of Visual Images. Plos One. 2011. V. 6. N. 6. e20674. DOI: 10.1371/journal.pone.0020674
  • Frolov A., Husek D., Bobrov P.D. Comparison of four classification methods for brain-computer interface. Neural Network World. 2011. V. 21. N. 2. P. 101-115. DOI: 10.14311/Nnw.2011.21.007