Research Institute of Neurosciences

Head of the laboratory

Khramov Alexander Evgenievich
Head of the Laboratory, Dr. habil. in Physics and Mathematics, professor

Laboratory personnel

Laboratory mission

Development and experimental verification of methods for early detection of risk groups for neurodegenerative diseases based on markers of progressive pathologies of the human motor system using concepts of functional brain networks, graph theory and artificial intelligence.

Scientific hypothesis solved by the laboratory

Age-related changes in the human brain motor system assessed by analysis of neuro-, hemo-, and muscular dynamics mechanisms are biomarkers of early development of central nervous system and circulatory system disorders.

Scientific areas

• Development of physical and mathematical methods for the analysis of multimodal non-stationary neurophysiological signals together with trajectories of motor activity to identify signs of normal and pathological states of the human motor system;
• Analysis of the mechanisms of neuro-, hemo- and muscular dynamics underlying age-related changes in the human brain motor system and negatively affecting the learning processes of new motor skills, coordination of motor activity, to identify biomarkers of early development of disorders of the central nervous system and circulatory system;
• Creation and study of mathematical models of the influence of natural aging factors, disorders of the central nervous system and the circulatory system on the development of pathologies of the functioning of the human brain motor system;
• Building prognostic models in order to predict age-related changes and identify the risk of developing neurological diseases, as well as select effective neurorehabilitation strategies based on the experimental and theoretical results obtained.

Research methods

• Analysis of neuroimaging data: EEG, TMS, fNIRs, fMRI;
• Analysis of age characteristics of behavioral characteristics when performing tasks for fine motor skills;
• Construction and analysis of functional brain networks, including the use of graph theory and complex networks;
• Machine learning and artificial intelligence techniques to identify patterns in large arrays of complex multimodal data;
• Methods of nonlinear dynamics and mathematical modeling.

Head of the laboratory

Kazantsev Viktor Borisovich
Head of the Laboratory, Head of the Department of Neurotechnologies, Lobachevsky University (Nizhny Novgorod), Dr. habil. in Physics and Mathematics, associate professor.

Laboratory personnel

Laboratory mission

Development of neural network mathematical models simulating the work of neural systems of the brain.

Scientific hypothesis solved by the laboratory

The implementation of information functions in the brain is associated with the formation and maintenance of spatiotemporal activation patterns of neural networks of a certain configuration. The dynamic mechanisms of these processes are associated with both synaptic plasticity processes and the activity of slow glia and matrix structures involved in tuning networks to a specific function.

Scientific areas

• Spike neural networks in learning and memory modeling tasks;
• Mathematical modeling of neuron-glia-matrix interactions in the brain;
• Neural network dynamic models of the spread of epidemics.

Research methods

• Modeling of neural systems through the construction of multidimensional systems of ordinary differential equations;
• Methods of nonlinear dynamics and bifurcation analysis for the study of dynamic modes of network functioning;
• Development of computational complexes and simulators that calculate mathematical models.

Head of the laboratory

Pyatin Vasily Fedorovich
Head of the Laboratory, Dr. habil. in Medicine, professor, Honored Scientist of the Samara Region.

Laboratory personnel

Laboratory mission

Study of the multi-level functional organization of the central nervous system and transfer of the acquired knowledge to various fields of medicine.

Scientific hypothesis solved by the laboratory

Activation of neuroplasticity through stimulation of various sensory systems. Study of the multi-level functional organization of the motor system to identify significant ways to activate or restore it in various pathologies.

Scientific areas

• The study of effective sensory modulation for senso-motor activation of various levels of the motor system in normal and pathology.
• Study of fundamental aspects and practical application of sensory immersion in VR.
• Neurocomputer interface in the pathology of the visual analyzer, methods for correcting visual disorders at different levels of damage.

Research methods

Neurophysiological research methods: EEG, multimodal VP, TMS, NIR spectroscopy; Neuroimaging methods: fMRI.

Laboratory personnel

Neurosociology is a new interdisciplinary and multi-level scientific direction that studies neurobiological correlates and mechanisms of social phenomena and processes at the micro level (social interaction, social action, decision-making, etc.) with mandatory association with the macro level (social institutions, socio-economic sphere, social norms, cultural values, etc.).

Laboratory mission

Establish new knowledge about neural biomarkers of social interaction between subjects, study the influence of social processes on brain functions to create neurosocial technologies that improve the quality of life of people in Russia and in the world.

Scientific hypothesis solved by the laboratory

Interactive Brain Hypothesis, Multi-Brain Neuroscience aims to understand the neural basis of dynamic communication between people in real time. Interpersonal interactions — «human-to-human» — elicit unique responses in the brain that are not observed during noninteractive, isolated behaviors.

Scientific areas

• Neurosociology of interaction in the digital and virtual space of artificial sociality.
• Neurodynamics of social cohesion, group processes in difficult conditions for performing tasks.
• Brain-to-Brain/Multi-Brain in social interaction, in social processes and communications.
• Neurocognitive mechanisms of information exchange between interaction subjects and brain social networks.
• Neurodynamics in the context of the «new social norm» of the Covid-19 pandemic.

Research methods

Электроэнцефалография, в т. ч. ЭЭГ-гиперсканирование, стационарная и мобильная фБИКс, айтрекинг, очки виртуальной реальности (Oculus Rift, HTC vive+Eye tracking), вариабельность сердечного ритма, электрическая активность кожи.

Laboratory personnel

Laboratory mission

The study of the neuroeconomics of sensations and the transformation of the knowledge gained into the practice of economic experience.

Scientific hypothesis solved by the laboratory

The personalization of emotions and their distribution in the service economy is becoming a new sustainable business model of the future, and the solution of the hypothesis will ensure the transition from service economics to sensation economics.

Scientific areas

• Neuromarketing sensations in brand communication.
• Neuromarketing emotions.
• Mobile neuromarketing studies in real time and real social situation.
• Neuromarketing and neuroeconomic studies of consumer behavior in the COVID-19 pandemic and other pandemics.

Research methods

Electroencephalography, stationary and mobile fNIRs, tracking (stationary, mobile), virtual reality glasses (Oculus Rift, HTC vive + Eye tracking), heart rate variability, electrical skin activity.