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

  • 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
  • Sarkisova K.Y., Fedotova I.R., Surina N.M., Nikolaev G.M., Perepelkina O.V., Poletaeva I.I. The effect of chronic fluoxetine administration on audiogenic epilepsy, symptoms of anxiety and depression in four rats. Doklady Akademii Nauk. 2016. V. 467. N. 2. P. 238-241.
  • 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.
  • Sarkisova K.Y., Fedotova I.R., Surina N.M., Nikolaev G.M., Perepelkina O.V., Poletaeva I.I. Effect of chronic fluoxetine treatment on audiogenic epilepsy, symptoms of anxiety and depression in rats of four lines. Doklady Biological Sciences. 2016. V. 467. N. 1. P. 55-58. DOI: 10.1134/S0012496616020058
  • Sarkissova K.Y., Fedotova I.R., Surina N.M., Nikolaev G.M., Perepelkina O.V., Poletaeva I.I. Effect of chronic fluoxetine treatment on audiogenic epilepsy, symptoms of anxiety and depression in rats of four lines. Doklady Biological Sciences. 2016. V. 467. N. 1. P. 55-58. DOI: 10.1134/S0012496616020058
  • 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.
  • Biryukova E.V., Bril B., Frolov A.A., Koulilov M.A. Movement kinematics characterise the level of motor skill: the case of stone knapping in India. Motor Control. 2015. V. 19. N. 1. P. 34-59. DOI: 10.1123/mc.2013-0042
  • Sharova E.V., Shendiapina M.V., Boldyreva G.N., Davydova N.Iu., Migalev A.S., Chelyapina-Postnikova M.V., Kulikov M.A., Zhavoronkova L.A., Enikolopova E.V., Fadeeva L.M., Kornienko V.N. The analysis of fMRT answer's individual variability at healthy examinees when opening eyes, motor and speech tests. Fiziologiia cheloveka. 2015. V. 41. N. 1. P. 5-16. DOI: 10.7868/s0131164614060113
  • Sharova E.V., Shendyapina M.V., Boldyreva G.N., Davydova N.Y., Migalev A.S., Chelyapina M.V., Kulikov M.A., Zhavoronkova L.A., Enikolopova E.V., Fadeeva L.M., Kornienko N. Individual variation of fMRT responses to eye opening, motor, and speech tests in healthy subjects. Human Physiology. 2015. V. 41. N. 1. DOI: 10.1134/S0362119714060097
  • 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
  • Sarkisova K.Y., Kulikov M.A., Kudrin V.S., Midzyanovskaya I.S., Biryukova L.M. Age-related changes in behavior, in monoamines and their metabolites content, and in density of Dl and D2 dopamine receptors in the brain structures of WAG/Rij rats with depression-like pathology. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2014. V. 64. N. 6. P. 668-685. DOI: 10.7868/S0044467714060094
  • 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.
  • Kurganskaya M.E., Frolov A., Ioffe M., Karabanov A., Chernikova L. A comparative kinematic analysis of cyclical bending in patients with early stages of Parkinson's disease and in patients with essential tremor. Motor Control. 2014. V. 18. N. 4. P. 331-46. DOI: 10.1123/mc.2012-0096
  • 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.
  • Biryukova E.V., Sirotkina I.E. From the history of the Russian physsiology of movements. I.P.Pavlov Journaal of Higher Nervous Activity. 2013. V. 63. N. 1. P. 154-172. DOI: 10.7868/S004446771301005X
  • 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.
  • Sarkisova K.Y., Kulikov M.A., Kudrin V.S., Narkevich V.B., Midzyanovskaya I.S., Biryukova E.V., Folomkina A.A., Bazyan A.S. Neurochemical mechanisms of depression-like behavior in WAG/Rij rats. Zhurnal vyssheǐ nervnoǐ deiatelnosti imeni I P Pavlova. 2013. V. 63. N. 3. P. 303-315. DOI: 10.7868/S0044467713030106
  • 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
  • Suntsova M., Gogvadze E.V., Salozhin S., Gaifullin N., Eroshkin F., Dmitriev S.E., Martynova O.V., Kulikov M.A., Malakhova G., Tukhbatova G., Bolshakov A.P., Ghilarov D., Garazha A., Aliper A., Cantor C.R., Solokhin Y., Roumiantsev S., Balaban P.M., Zhavoronkov A., Buzdin A. Human-specific endogenous retroviral insert serves as an enhancer for the schizophrenia-linked gene PRODH. Proceedings of the National Academy of Sciences of the United States of America. 2013. V. 110. N. 48. P. 19472-19477. DOI: 10.1073/pnas.1318172110
  • 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.
  • Fedotova I.R., Uzakov S.S., Markevich V.A. Restoration of long-term potentiation by food delivery to deprived rat. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2012. V. 62. N. 5. P. 573-579.
  • Sharova E.V., Malnikov A.V., Novikova M.R., Kulikov M.A., Matz V.N., Shishkina L.V., Ermakov A.M. Functional effects of transcranial electromagnetic stimulation (frequency 60 and 70 Hz) of the brain of rats - intact and with acute stem damage. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2012. V. 62. N. 1. P. 65-78.
  • Sharova E.V., Migalev A.S., Kulikov M.A., Voronov V.G., Boldyreva G.N., Zhavoronkova L.A., Skoryatina I.G., Pyashina D.V., Davydova N.Y., Pronin I.N., Kornienko V.N. Comparison of reactive changes in EEG and fMRI characteristics of the brain of a healthy person based on multivariate statistics. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2012. V. 62. N. 2. P. 143-156.
  • 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.
  • Mikhailova E.S., Kulikov M.A., Slavutskaya A.V., Shevelev I.A. Dipole analysis of evoked brain activity for estimating dynamics of visual perception. Optical Journal. 2011. V. 1. N. 12. P. 34-41.
  • Sharova E.V., Zaitsev O.S., Kulikov M.A., Schepetkov A.N., Korobkov E.V., Chelyapina M.V. Functional and structural prerequisites for depression of consciousness in severe traumatic brain injury. Nejronauki: teoreticheskije i klinicheskije aspekty. 2011. V. 7. N. 1-2. P. 68-75.
  • Alexandrov A.V., Frolov A.A. Closed-loop and open-loop control of posture and movement during human trunk bending. Biological Cybernetics. 2011. V. 104. N. 6. P. 425-438. DOI: 10.1007/s00422-011-0442-x
  • 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
  • Roschin V.Y., Frolov A.A., Burnod Y., Maier M.A. A NEURAL NETWORK MODEL FOR THE ACQUISITION OF A SPATIAL BODY SCHEME THROUGH SENSORIMOTOR INTERACTION. NEURAL COMPUTATION. 2011. V. 23. N. 7. P. 1821-1834. DOI: 10.1162/NECO_a_00138
  • Fedotova I.R., Uzakov S.S., Frolov A.A., Markevich V.A. Influence of CA1 hippocampal field on theta-activity in rats under urethane anesthesia. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2010. V. 60. N. 4. P. 486-492.
  • Chicherov V.A., Mikhailova E.S., Kulikov M.A. Periods of stable and unstable ERP topography for target and nontarget visual stimuli. Optical memory and neural networks. 2010. V. 19. N. 2. P. 172-180.
  • Sarkisova K.Y., Kuznetsova G.D., Kulikov M.A., VanLuijtelaar G. Spike-wave discharges are necessary for the expression of behavioral depression-like symptoms. Epilepsia. 2010. V. 51. N. 1. P. 146-160. DOI: 10.1111/j.1528-1167.2009.02260.x
  • Shkolnik T.K., Lushchekina E.A., Kulikov M.A., Airapetiants M.G. Comparison of parameters of stress and trait anxiety in teenagers who are brought up in full, incomplete families, and families with the replaced parents. Zhurnal Vysshei Nervnoi Deiatelnosti. 2009. V. 59. N. 2. P. 162-170.
  • Frolov A.A., Husek D., Polyakov P.Y. Recurrent-neural-network-based boolean factor analysis and its application to word clustering. IEEE Transactions on Neural Networks. 2009. V. 20. N. 7. P. 1073-1086. DOI: 10.1109/TNN.2009.2016090
  • Sidorova O.A., Kulikov M.A., Milovalova G.B., Frolov M.V. Simulation of dependency between basic components of negative emotional states. Biomeditsynskaya radioelectronika. 2008. V. 1. N. 12. P. 57-62.
  • Tkachenko O.N., Frolov A.A., Verkhlyutov V.M. Application of boundary element method for more accurate localization of EEG dipole sources. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2008. V. 58. N. 2. P. 247-254.
  • Roschin V.Y., Panko M.S., Ponfilenok O.V., Obukhov A.V. Efficiency of three algorithms for classifying EEG patterns related to different mental tasks. International Journal of Psychophysiology. 2008. V. 69. N. 3. P. 181. DOI: 10.1016/j.ijpsycho.2008.05.478
  • Smirnitskaya I.A., Frolov A.A., Merzhanova G.K. A model of reward choice based on the theory of reinforcement learning. Neuroscience and Behavioral Physiology. 2008. V. 38. N. 3. P. 269-278. DOI: 10.1007/s11055-008-0039-6
  • Korneeva E.V., Golubeva T.E., Alexandrov A.V., Gurjeva T.I., Dadasheva O.A., Sychev V.N., Raevsky V.V. Prenatal acoustic stimulation and feeding behavior of Japanese quail chicks (Coturnix coturnix japonica). Aviakosmicheskaja i Ekologicheskaja Meditsyna. 2007. V. 41. N. 1. P. 47-50.
  • Loseva E.V., Loginova N.A., Biryukova E.V., Matz V.N., Pasikova N.V. Effect of small doses of interferon-alpha on food conditioning in young and ageing rats. Rossijskij Fiziologicheskij Zhurnal im I M Sechenova. 2007. V. 93. N. 4. P. 386-393.
  • Loseva E.V., Pasikova N.V., Loginova N.A., Biryukova E.V., Matz V.N. Influence of small doses human interferon-alpha intranasal injection on behavior of rats of different age. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2007. V. 57. N. 3. P. 323-335.
  • Sidorova O.A., Kulikov M.A. Recognition of human emotions using mimic and verbal etalons in healthy conditions and under local brain pathology. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2007. V. 57. N. 3. P. 354-361.
  • Smirnitskaya I.A., Frolov A.A., Merzhanova G.K. The model of the reward choice basing on the theory of reinforcement learning. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2007. V. 57. N. 2. P. 133-143.