II. The role of emotions in decision making. Affective processes play a critical role in decision-making, from a fast modulation of information processing, to long-term effects on planning. Instead of dismissing emotions as irrational factors in the decision making, we study how they influence the decision making process. We particularly investigate how induced emotions change decisions under risk.
III. Neural mechanism of social influence and persuasion. Our decisions are affected not only by objective information about the available options but also by other people. Recent brain imaging studies have adopted the cognitive neuroscience approach for studying the neural mechanisms of social influence. A number of studies have shown that social influence is associated with neural activity in the medial prefrontal cortex and ventral striatum, which are two brain areas involved in the fundamental and not exclusively social mechanisms of performance monitoring. Therefore, the neural mechanisms of social influence could be deeply integrated into our general neuronal performance-monitoring mechanisms.
IV. Neural mechanisms for Fake News propagation. New technologies enable a fast dissemination of false information, which imitates real news (Fake News). In this project, we investigate the neurobiological mechanisms of the multimodal processing of Fake News and the neural mechanisms underling various persuasive manipulations of the processing of Real News. The project uses the 'inter-subjects correlation' method to study neural activity of groups of people.
V. Perception of the urban environment. The social life of many people concentrates in cities. We study human perception of the urban environment, the effects of the environment on the human brain (neuro-urban studies) and the influence of different elements of the environment on cognitive processes. The project primarily focuses on studying the effect of greening on human brain, neural processing of green urban areas. project is being carried out jointly with the St. Petersburg State University of Architecture and Civil Engineering.
VI. Investigating the neurocognitive mechanisms of emotion regulation: a multimodal approach combining invasive and noninvasive methods of neuroimaging and brain stimulation. This project focuses on elucidating the psychophysiological mechanisms of emotion regulation. A deeper understanding of the psychophysiology of emotion is not only fundamental, but also plays an important role in understanding the nature of affective disorders. We plan to integrate methods of intracranial electroencephalography of patients, functional magnetic resonance imaging, and multichannel electroencephalography on healthy subjects. Overall, we plan to test the hypothesis that modern multimodal methods that allow quantification of patterns of interaction between brain regions will be able to uncover key mechanisms of self-control of social cognition. By combining iEEG, MEG, EEG, and fMRI data with behavioral self-reports of subjective experiences and subjective evaluations of video content, we will elucidate the neurocognitive basis of emotion regulation.
VII. Investigating the neurocognitive mechanisms of emotion regulation: a multimodal approach combining invasive and noninvasive methods of neuroimaging and brain stimulation. Psychophysiological mechanisms of perception of economic parameters and decision-making in the stock market. In the course of this project, the influence of financial information volatility on the behavioral and neurocognitive patterns of the subjects when buying and selling shares during a simulated stock market game, which the subjects undergo during fMRI scanning, is considered. The paradigm consists of rounds of viewing by the subject a dynamically changing chart of the company's stock prices, followed by providing the subject with a series of decisions on the sale/retention/purchase of shares. The charts of companies' shares are divided into two groups of volatility, differing by 10 times. The group of high volatility stocks, according to our observations, causes a significantly greater measure of intersubjective correlation in the insular fraction, compared with the group of low volatility. Subsequently, in the group of charts with greater volatility, the subjects also adapt significantly riskier decision-making strategies. The aim of this project is to establish a causal relationship between these phenomena.
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