In this master's thesis, we investigated brain activity when viewing emotion inducing images using a multimodal approach that combines electroencephalography and functional near-infrared spectroscopy. We hypothesized that there will be a significant difference in brain activity between the emotional conditions of disgust, fear, happiness, and a neutral state. Data were obtained from 50 participants whose task was to view images displayed on a computer screen in a relaxed resting state. The collected data was preprocessed for statistical analysis. We detected significant diferences in event-related potentials of electroencephalographic data between all emotional conditions in the prefrontal region of the head, except between happy and neutral states. In the central-parietal region, we detected significant differences between emotional conditions, the side of the hemisphere, and an interaction effect. Compared to the left central-parietal region, we observed a larger amplitude in the time interval of the P3 wave and the LPP component in the right central-parietal region. While the activity in the left hemisphere discriminated between emotional conditions based on their valence, the activity in the right hemisphere also accurately discriminated between different types of unpleasant emotional conditions. When analysing haemodynamic data, we detected a significant difference in blood oxygenation between the left and the right sides of the prefrontal cortex, regardless of the emotional content of the images. We explored the connections between the results of both techniques.
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