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Regular version of the site

Neurocognitive mechanisms of decision making and social influence

Priority areas of development: humanitarian
2014
The project has been carried out as part of the HSE Program of Fundamental Studies.

This project is devoted to investigation of brain mechanisms of decision making and neurobiological base of social influence and persuasive communication. 

The aim of this project is the development of neuroeconomics in Russia. Neuroeconomics is an interdisciplinary field that seeks to explain human decision making from perspective of psychology, physiology, medicine, economics, politology, sociology, jurisprudence and engineering. In this project we plan to integrate cognitive methodology and neuroeconomics approach in order to create synthetic models of human behavior and social interaction in groups. Equipment, methods and approaches that we are using are unique for Russian science and for in the international scientific society as well. During work on the project close collaboration between Russian scientists and their international colleagues are expected to be established. This will help to use the expertise of the leading scientists in the fields of neuroeconomics, neuromodelling, electro- and magnetoencephalographic methods.

The main result of the work on project is the expansion of current knowledge about the process of decision making: were conducted basic neurophysiological and cognitive psychophysiological experiments, developed current decision-making models, investigated the process of dependency-forming and process of selection alternatives according to inner homeostatic status.

Publications:


Hanna J., Mejias S., Schelstraete M., Pulvermuller F., Shtyrov Y., van der Lely H. Early activation of Broca’s area in grammar processing as revealed by the syntactic mismatch negativity and distributed source analysis. // Cognitive Neuroscience. 2014. Vol. 5. No. 2. P. 66-76.
Butorina A., Prokofiev A., Nazarova M., Litvak V., Stroganova T. The mirror illusion induces high gamma oscillations in the absence of movement // Neuroimage. 2014. P. 181-191. doi
Moseley R., Pulvermuller F., Shtyrov Y. Sensorimotor semantics on the spot: brain activity dissociates between conceptual categories within 150 ms. // Scientific Reports. 2014. Vol. 3. No. 1928. P. 1-7.
Ylinen S., Nora A., Leminen A., Hakala T., Huotilainen M., Shtyrov Y., Mäkelä J., Service E. Two Distinct Auditory-Motor Circuits for Monitoring Speech Production as Revealed by Content-Specific Suppression of Auditory Cortex // Cerebral Cortex. 2014. Vol. doi: 10.1093/cercor/bht351. P. 1-11.
Shtyrov Y., Goryainova G., Tugin S., Ossadtchi A., Shestakova A. Automatic processing of unattended lexical information in visual oddball presentation: neurophysiological evidence // Frontiers in Human Neuroscience. 2013. Vol. 7. No. 421. P. 1-10.
Dabek J., Nikulin V., Ilmoniemi R. Detecting millisecond-range coupling delays between brainwaves in terms of power correlations by magnetoencephalography. // Journal of Neuroscience Methods. 2014. No. 235. P. 10-24. doi
Soo Kwon M., Huotilainen M., Shestakova A., Kujala T., Näätänen R., Hämäläinen H. No effects of mobile phone use on cortical auditory change-detection in children: an ERP study // Bioelectromagnetics. 2010. Vol. 31. No. 3. P. 191-199.
Thiel S. D., Bitzer S., Nierhaus T., Kalberlah C., Preusser S., Neumann J., Nikulin V., van der Meer E., Villringer A., Pleger B. Hysteresis as an implicit prior in tactile spatial decision making // Plos One. 2014. Vol. 2. No. 9. P. e89802. doi
Pakarinen S., Teinonen T., Shestakova A., Kwond M. S., Kujala T., Hämäläinend H., Näätänen R., Huotilainen M. Fast parametric evaluation of central speech-sound processing with mismatch negativity (MMN) // International Journal of Psychophysiology. 2013. Vol. 81. No. 1. P. 103-110.
Dipoppa M., Gutkin B. Flexible frequency control of cortical oscillations enables computations required for working memory // Proceedings of the National Academy of Sciences of the United States of America. 2013. Vol. 110. No. 31. P. 12828-33.
Blythe D., Haufe S., Müller K., Nikulin V. The effect of linear mixing in the EEG on Hurst exponent estimation // Neuroimage. 2014. Vol. 99. No. 1. P. 377-387. doi
Whiting C., Shtyrov Y., Marslen-Wilson W. Real-time Functional Architecture of Visual Word Recognition // Journal of Cognitive Neuroscience. 2015. Vol. 27. No. 2. P. 246-265.
Maex R., Grinevich V., Grinevich V., Budygin E., Bencherif M., Gutkin B. Understanding the role α7 nicotinic receptors play in dopamine efflux in nucleus accumbens // ACS Chem Neurosci. 2014. Vol. 15. No. 5. P. 1032-1040.
Haufe S., Dähne S., Nikulin V. Dimensionality reduction for the analysis of brain oscillations // Neuroimage. 2014. No. 101. P. 583-597. doi
Egorova N., Pulvermuller F., Shtyrov Y. Neural dynamics of speech act comprehension: an MEG study of Naming and Requesting // Brain Topography. 2014. Vol. 27. No. 3. P. 375-392.
Fontolan L., Krupa M., Hyafil A., Gutkin B. Analytical insights on theta-gamma coupled neural oscillators // Journal of Mathematical Neuroscience. 2013. Vol. 3. No. 1
Shestakova A., Rieskamp J., Tugin S., Krutitskaya J., Klucharev V., Ossadtchi A. Electrophysiological precursors of social conformity // Social Cognitive and Affective Neuroscience. 2013. Vol. 8. No. 7. P. 756-763.
Shtyrov Y., Butorina A., Nikolaeva A., Stroganova T. Automatic ultra-rapid activation and inhibition of cortical motor systems in spoken word comprehension // Proceedings of the National Academy of Sciences of the United States of America. 2014. Vol. 111. No. 18. P. E1918-E1923.
Moseley R., Pulvermuller F., Mohr B., Lombardo M., Baron-Cohen S., Shtyrov Y. Brain routes for reading in adults with and without autism: EMEG evidence // Journal of Autism and Developmental Disorders. 2014. Vol. 44. No. 1. P. 137-153.
Hohlefeld F., Huchzermeyer C., Huebl J., Schneider G., Nolte G., Brücke C., Schönecker T., Kühn A., Curio G., Nikulin V. Functional and effective connectivity in the subthalamic nucleus of patients with Parkinson’s Disease // Neuroscience. 2013. No. 250. P. 320-332.
Zubarev I., Ossadtchi A., Klucharev V., Shestakova A. MEG signature of social conformity: evidence from evoked and induced responses. / Центр Нейроэкономики и когнититвных исследований. Series 1 "1". 2014.
Krupa M., Gielen S., Gutkin B. Adaptation and shunting inhibition leads to pyramidal/interneuron gamma with sparse firing of pyramidal cells. // Journal of Computational Neuroscience. 2014. Vol. 37. No. 2. P. 357-376. doi
Dähne S., Nikulin V., Ramírez D., Schreier P. J., Müller K., Haufe S. Finding brain oscillations with power dependencies in neuroimaging data // Neuroimage. 2014. No. 96. P. 334-348. doi
Keramati M., Gutkin B. Collecting reward to defend homeostasis: A homeostatic reinforcement learning theory / Cold Spring Harbor Laboratory. Series 005140 "Biorxiv". 2014.
Pronko P., Baillet S., Pflieger M., Stroganova T., Ossadtchi A. Mutual information spectrum for selection of event-related spatial components. Application to eloquent motor cortex mapping // Frontiers in Neuroinformatics. 2014. Vol. 7
Zeldenrust F., Gutkin B. Spike Frequency Adaptation // Scholarpedia. 2014. Vol. 9. No. 2. P. 30643.
Boulenger V., Shtyrov Y., Pulvermuller F. When Do You Grasp The Idea? MEG Evidence For Instantaneous Idiom Understanding // Neuroimage. 2012. Vol. 59. P. 3502-3513.
Oster A., Faure P., Gutkin B. Mechanisms for multiple activity modes of VTA dopamine neurons / Cold Spring Harbor Laboratory. Series http://dx.doi.org/ "BioRxiv". 2014. No. 10.1101/008920.
Maex R., Budygin E., Grinevich V., Bencherif M., Gutkin B. Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine // ACS Chemical Neuroscience. 2014. Vol. 15. No. 5(10). P. 1032-40.
Papadelis C., Ahtam B., Nazarova M., Nimec D., Snyder B., Grant P., Okada Y. Cortical somatosensory reorganization in children with spastic cerebral palsy: a multimodal neuroimaging study // Frontiers in Human Neuroscience. 2014 doi
Debette S., Kamatani Y., Metso T. M., Kloss M., Chauhan G., Engelter S., Pezzini A., Thijs V., Markus H., Dichgans M., Wolf C., Dittrich R., Touzé E., Southerland A. M., Samson Y., Abboud S., Béjot Y., Caso V., Bersano A., Gschwendtner A., Sessa M., Cole J., Lamy C., Medeiros E., Beretta S., Bonati L. H., Grau A., Michel P., Majersik J., Sharma P., Калашникова Л. А., Nazarova M., Добрынина Л. А., Bartels E., Guillon B., van den Herik E., Fernandez-Cadenas I., Jood K., Nalls M., De Leeuw F., Jern C., Cheng Y., Werner I., Metso A., Lichy C., Lyrer P., Brandt T., Boncoraglio G., Wichmann H., Gieger C., Johnson A., Böttcher T., Castellano M., Arveiler D., Ikram M. A., Breteler M., Padovani A., Meschia J., Kuhlenbäumer G., Rolfs A., Worrall B., Ringelstein E., Zelenika D., Tatlisumak T., Lathrop M., Leys D., Amouyel P., Dallongeville J. Common variation in PHACTR1 is associated with susceptibility to cervical artery dissection // Nature. 2014