New employee publications

Спецвыпуск журнала "Биохимия"

Interplay between neural signaling and metabolic pathways: At the crossroads of brain health and disease

Тематика выпуска: биохимия, мозговая сигнализация может быть на любом уровне: гены, белки, медиаторы, сетевые изменения и пр.

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Laboratory of Mathematical Neurobiology of Learning

Laboratory of Mathematical Neurobiology of Learning specializes in multidisciplinary research in motor control, biomechanics, computational neurobiology, brain-computer interfaces. 

Key research areas

  • investigating the neurophysiological basis and clinical applications of brain-computer interfaces;
  • identifying markers of motor and cognitive function recovery during rehabilitation after stroke, traumatic brain injury, and cerebral palsy
  • studying markers of mirror illusion and phantom syndrome;
  • conducting invasive EEG studies and addressing specific challenges in invasive neurointerfaces;
  • examining mechanisms underlying movement synergies;
  • investigating hidden processes of planning and preparation for complex movement execution;
  • studying mechanisms of proprioceptive sensitivity and developing methods for its objective assessment in various pathologies;
  • investigating sensorimotor and cognitive function recovery during awakening from sleep;

Our partners

The laboratory has collaborations with Pirogov Russian National Research Medical University, Research Center of Neurology, Vladimirsky Moscow Regional Research and Clinical Institute, and National Medical Research Center for Treatment and Rehabilitation.

Research methods

Key methods used in the laboratory are electroencephalography (EEG), electromyography (EMG), near-infrared spectroscopy (NIRS,fNIRS), invasive EEG (in collaboration with clinical partners), motion capture using electromagnetic trackers and optical systems, video motion analysis. 

Key results

  • estimating informational capacity of neural networks capable of associative learning based on Hebbian plasticity;
  • developing methods of Boolean factor analysis, including those based on neural networks capable of unsupervised forming object representations based on statistical properties of input signals;
  • creating a neural network model for the acquisition of a spatial body scheme and estimating external space dimensionality through sensorimotor interaction;
  • development of a model of long-term potentiation and depression based on synaptic receptor phosphorylation, which explains why similar changes in neural activity lead to different consequences for synaptic plasticity in the hippocampus and cerebellum;
  • development of methods for describing movement in terms of individual joint angles of rotation around non-orthogonal axes defined by joint geometry;
  • characterization of motor synergies in high-precision hand movements as a function of motor skill acquisition level;
  • developing the concept of eigenmovements which describes motor synergies that nervous system can control independently and robustly even in the presence of significant delays in the sensorimotor feedback loop;
  • creation of instrumental methods for objective assessment of proprioceptive sensitivity impairments;
  • organization and participation in large-scale multidisciplinary inter-institutional projects for the application of neurointerfaces in motor rehabilitation, resulting in the creation of Russia's first rehabilitation complex incorporating a neurointerface, that received medical device registration
  • description of electrical and metabolic (hemodynamic response) brain activity patterns most specific for motor imagery tasks in neurointerface control in healthy subjects, post-stroke patients, and children diagnosed with cerebral palsy;
  • development of a neurointerface based on near-infrared spectroscopy and investigation of its clinical applications.

Brief history

The Laboratory of Mathematical Neurobiology of Learning was established in 1970, initially as a physiological cybernetics group. In 1978, the group obtained laboratory status, and in 1989 it received its current name. From 1972 to 2018, the laboratory was headed by its founder and intellectual inspirer, Dr.Sc., Ph.D., Professor Alexander Alekseevich Frolov (1943-2020).

Список сотрудников

Publication list

Papers

  • Reshetnikova V.V., Bobrova E.V., Grishin A.A., Vershinina E.A., Bogacheva I.N., Shsherbakova N.A., Isaev M.R., Bobrov P.D., Gerasimenko Y.P. Lower limb muscle activity during neurointerface control: neurointerface based on motor imagery of feet dorsiflexion. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2025. V. 75. N. 3. 313–326. DOI: 10.31857/S0044467725030041
  • Bobrova E.V., Reshetnikova V.V., Grishin A.A., Vershinina E.A., Bogacheva I.N., Scherbakova N.A., Isaev M.R., Bobrov P.D., Gerasimenko Yu.P. Lower limb muscle activity during neurointerface control: neurointerface based on motor imagery of walking. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova.. 2024. V. 74. N. 5. P. 591-605. DOI: 10.31857/s0044467724050042
  • Korneev A.A., Lomakin D.I., Kurgansky A.V., Machinskaya R.I. The Memorisation of Verbal and Nonverbal Serial Information by Children 9–11 Years Old. National Psychological Journal. 2024. V. 19. N. 4. P. 132-147. DOI: 10.11621/npj.2024.0409
  • Kurganskaya M.E., Bobrov P.D., Isaev M.R. Spontaneous fluctuations of brain electrical activity and movement initiation. Integrative physiology. 2024. V. 5. N. 2. P. 144-155. DOI: 10.33910/2687-1270-2024-5-2-144-155
  • Kurganskaya M.E., Isaev M.R., Bobrov P.D. Dynamics of EEG synchronization and desynchronization when performing real and imagined hand reaching. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2024. V. 74. N. 2. P. 210-222. DOI: 10.31857/S0044467724020069
  • Mokienko O.A., Lyukmanov R.Kh., Bobrov P.D., Isaev M.R., Ikonnikova E.S., Cherkasova A.N., Suponeva N.A., Piradov M.A. Brain-computer interfaces based on near-infrared spectroscopy and electroencephalography registration in post-stroke rehabilitation: a comparative study. Nevrologiya, neiropsikhiatriya, psikhosomatika. 2024. V. 16. N. 5. P. 17-23. DOI: 10.14412/2074-2711-2024-5-17-23
  • Isaev M.R., Mokienko O.A., Lyukmanov R.K., Ikonnikova E.S., Cherkasova A.N., Suponeva N.A., Piradov M.A., Bobrov P.D. A multiple session dataset of NIRS recordings from stroke patients controlling brain-computer interface. Scientific Data. 2024. V. 11. N. 1. P. 1168. DOI: 10.1038/s41597-024-04012-6
  • Lyukmanov R.Kh., Isaev M.R., Mokienko O.A., Bobrov P.D., Ikonnikova E.S., Cherkasova A.N., Suponeva N.A. Brain–Computer Interface Using Functional Near-Infrared Spectroscopy for Post-Stroke Motor Rehabilitation: Case Series. Annals of Clinical and Experimental Neurology. 2023. V. 17. N. 4. 82–88. DOI: 10.54101/ACEN.2023.4.10
  • 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
  • Boldyreva G.N., Yarets M.Y., Sharova E.V., Zhavoronkova L.A., Kuptsova S.V., Chelyapina-Postnikova M.V., Masherov E.L., Kulikov M.A., Smirnov A., Pronin I. Characteristics of Brain fMRI Responses to Motor Loads in Patients with Mild Posttraumatic Hemiparesis. Neuroscience and Behavioral Physiology. 2021. V. 51. N. 4. P. 450-457. DOI: 10.1007/s11055-021-01091-5
  • 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
  • Kurganskaya M.E., Bobrov P.D., Frolov A.A., Semenova E.I. Corticomuscular interaction during real and imaginary hand movement. Zhurnal Vysshei Nervnoi Deyatelnosti .... 2020. V. 70. N. 6. P. 738-751. DOI: 10.31857/S0044467720060052
  • Biryukova E.V., Sirotkina I. Forward to Bernstein: Movement Complexity as a New Frontier. Frontiers In Neuroscience. 2020. V. 14. P. 553. DOI: 10.3389/fnins.2020.00553
  • 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
  • Gavron A.A., Deza-Araujo Y.I., Sharova E.V., Smirnov A., Knyazev G., Chelyapina-Postnikova M.V., Fadeeva L., Abdulaev A., Kulikov M.A., Zhavoronkova L.A., Boldyreva G.N., Verkhlyutov V.M., Pronin I. Group and Individual fMRI Analysis of the Main Resting State Networks in Healthy Subjects. Neuroscience and Behavioral Physiology. 2020. V. 50. N. 3. P. 288-297. DOI: 10.1007/s11055-020-00900-7
  • 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
  • Badakva A.M., Miller N.V., Zobova L.N., Roschin V.Y. Role of brain cortex plasticity in the use of neural interfacing. Aerospace and Environmental Medicine. 2019. V. 53. N. 1. P. 5-13. DOI: 10.21687/0233-528X-2019-53-1-5-13
  • Badakva A.M., Miller N.V., Zobova L.N., Roschin V.Y. Studies of the plantar unloading effect on cortical mechanisms of arm movements control in immersion experiments with primates. Aerospace and Environmental Medicine. 2019. V. 53. N. 3. P. 33-38. DOI: 10.21687/0233-528X-2019-53-3-33-38
  • Badakva A.M., Miller N.V., Zobova L.N., Roschin V.Y. Control of the trajectory of purposive hand movements. Aerospace and Environmental Medicine. 2019. V. 53. N. 4. P. 28-37. DOI: 10.21687/0233-528X-2019-53-4-28-37
  • Biryukova E.V. Heritage of N.A.Bernstein in the theory and practice of motor recovery after stroke. // Heritage of N.A.Bernstein nowadays. Eds. G.P.Kostiuk, B.M.Velitchkovski, A.E.Tchernavski Moscow: Universitetskaia kniga. 2019. P. 148-163.
  • 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
  • Roschin V.Y., Badakva A.M., Miller N.V., Zobova L.N. Technique for Development an Artificial Proprioceptive Sensory Channel Based on Invasive Microstimulation of the Cortex in Monkeys. // New Approaches for Classical Problems. Eds. Kozlovskaya I.B., Vinogradova O.L., Shenkman B.S. Voronezh: Nauchnaya kniga. 2019. P. 63-63.
  • Roschin V.Y., Pavlova O.G., Selionov V.A., Solopova I.A., Zhvansky D.S., Staroverova O.N., Khatkova S.E. Comparison of Objective Indicators of Proprioception of Single– Joint Arm Movements in Healthy Subjects and Post–Stroke Patients in Sitting and Lying Positions. Human Physiology. 2019. V. 45. N. 4. P. 62-70. DOI: 10.1134/S0131164619040131
  • Roschin V.Y., Pavlova O.G., Sidorova M.V., Ivanova G.E. Objective Assessment of Intactness of Proprioceptive Perception in the Arm. // New Approaches for Classical Problems. Eds. Kozlovskaya I.B., Vinogradova O.L., Shenkman B.S. Voronezh: Nauchnaya kniga. 2019. P. 28-28.
  • Nikitin E.S., Roschin V.Y., Ierusalimsky V.N., Egorov A.V., Balaban P.M. Optogenetic Stimulation of the Axons of Visual Cortex and Hippocampus Pyramidal Neurons in Living Brain Slices. Neuroscience and Behavioral Physiology. 2019. V. 49. N. 2. P. 227-232. DOI: 10.1007/s11055-019-00719-x
  • Roschin V.Y., Pavlova O.G., Selionov V.A., Solopova I.A., Zhvansky D.S., Staroverova O.N., Khatkiva S.E. Comparison of Objective Indicators of Proprioception of Single– Joint Arm Movements in Healthy Subjects and Post–Stroke Patients in Sitting and Lying Positions. Human Physiology. 2019. V. 45. N. 4. P. 397-404. DOI: 10.1134/S0362119719040133
  • Pavlova O.G., Roschin V.Y., Sidorova M.V., Selionov V.A., Kulikov M.A., Staritsyn A.N. Method for Qualitative and Quantitative Assessment of Proprioceptive Perception of Single-Joint Arm Movements. Human Physiology. 2018. V. 44. N. 4. P. 84-95. DOI: 10.1134/S0131164618040124
  • Saltykov K.A., Lazareva N.A., Tikhomirov A.S., Kulikov M.A. Characteristics of on- and off-Receptive Fields in Three Groups of Cats Primary Visual Cortex Neurons With Different Balance of Excitatory and Inhibitory Influences. Journal of Higher Nervous Activity. 2018. V. 68. N. № 1. 62-75.. DOI: 10.7868/S0044467718010069
  • 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
  • Badakva A.M., Miller N.V., Zobova L.N., Roschin V.Y. Influence of Long-Duration Intracortical Microstimulation on Motor Cortex. Human Physiology. 2017. V. 43. N. 5. P. 129-135. DOI: 10.7868/S0131164617050022
  • 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
  • Frolov A.A., Mokienko O., Lyukmanov R., Biryukova E.V., Kotov S., Turbina L., Nadareyshvily G., Bushkova Y. Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial. Frontiers In Neuroscience. 2017. V. 11. P. 400. DOI: 10.3389/fnins.2017.00400
  • 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
  • Mukhina T., Sharova E.V., Boldyreva G.N., Zhavoronkova L.A., Smirnov A.S., Kulikov M.A., Aleksandrova E.V., Chelyapina-Postnikova M.V., Masherov E.L., Pronin I.N. The neuroanatomy of active hand movement in patients with severe traumatic brain injury: Analysis of functional magnetic resonance imaging data. Nevrologiya, Neiropsikhiatriya, Psikhosomatika. 2017. V. 9. N. 1. P. 27-33. DOI: 10.14412/2074-2711-2017-1-27-33
  • Nikitin E.S., Roschin V.Y., Ierusalimsky V.N., Egorov A.V., Balaban P.M. Optogenetic stimulation of axons of pyramidal neurons in acute brain slices of the visual cortex and hippocampus. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2017. V. 67. N. 5. P. 101-108. DOI: 10.7868/S0044467717050112
  • Sarkisova K.Y., Fedotova I.R., Surina N.M., Nikolaev G.M., Perepelkina O.V., Kostina Z.A., Poletaeva I.I. Genetic background contributes to the co-morbidity of anxiety and depression with audiogenic seizure propensity and responses to fluoxetine treat. Epilepsy Behav.. 2017. V. 68. P. 95-102. DOI: 10.1016/j.yebeh.20162016.12.025
  • 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
  • Biryukova L.M., Sitnikova E.Y., Kulikov M.A., Raevsky V.V. Compensatory Changes in the Brain Dopaminergic System of WAG/Rij Rats Genetically Predisposed to Absence Epilepsy. Bulletin of Experimental Biology and Medicine. 2016. V. 161. N. 5. P. 662-665. DOI: 10.1007/s10517-016-3480-5