Abstract
Emotion plays an important role in people's life. However, the existing researches do not give a unified conclusion on the brain function network under different emotional states. In this study, pictures from the international affective picture system (IAPS) of different valences were presented to subjects with a fixed frequency blinking frequency to induce stable state visual evoked potential (SSVEP). With the source location method, the cerebral cortex source signal was reconstructed based on EEG signals, and then the difference in SSVEP amplitudes in key brain areas under different emotional states and the difference in brain function network connections among different brain areas were analysed in cortical space. The results of the study show that positive and negative emotions evoked greater activation intensities in the prefrontal, temporal, and parietal lobes compared with those of neutral emotion. The network connections with a significant difference between emotional states mainly appear in the alpha and gamma bands, and the network connections with significant differences between positive emotion and negative emotion mainly exist in the right middle temporal gyrus and the superior frontal gyrus on both sides. In addition, the long-range connections play an important role in the process of emotional processing, especially the connections among frontal gyrus, middle temporal gyrus, and middle occipital gyrus. The results of this study provide a reliable scientific basis for revealing and elucidating the neural mechanism of emotion processing and the selection of brain regions and frequency bands in emotion recognition based on EEG signals.
Highlights
Emotions are states that combine the physical and mental activities that each of us will produce
In 2018, Wyczesany et al constructed a brain network based on the EEG signals induced by positive and negative emotional face pictures. e results showed that there are strong connections between the frontal lobe, attention network, temporal lobe, and occipital lobe in emotional state regions, and the connections of these brain regions are mainly existing in the right hemisphere [5]
In the functional network connection analysis, we found that network connections with significant differences between different emotional states mainly exist in the alpha and gamma frequency bands. e alpha band is related to the relaxed state, and with the cognitive load of the brain increasing in the emotional state, the alpha band will have a corresponding energy change
Summary
Emotions are states that combine the physical and mental activities that each of us will produce. In 2018, Wang et al based on functional magnetic resonance to study the brain functional connectivity of schizophrenia patients during facial emotion cognitive processing, and the results showed that severe schizophrenia patients have amygdala and medial prefrontal cortex in a state of fear and happiness. E results showed that there are strong connections between the frontal lobe, attention network (prefrontal lobe and parietal inner groove), temporal lobe, and occipital lobe in emotional state regions, and the connections of these brain regions are mainly existing in the right hemisphere [5]. En, using source response analysis, SSVEP amplitude analysis, and phase lock value (PLV) functional network connection analysis in cortical space, the neural differences in the processing of different types of emotional pictures are studied from the local and global perspective. With the help of stable state visual evoked potential’s (SSVEP) good time resolution (time-locked and phaselocked characteristics) and high signal-to-noise ratio, we utilized the source location method to reconstruct the cerebral cortex signal [14]. en, using source response analysis, SSVEP amplitude analysis, and phase lock value (PLV) functional network connection analysis in cortical space, the neural differences in the processing of different types of emotional pictures are studied from the local and global perspective. is research may provide new evidence for revealing and clarifying the neural mechanism of emotion processing
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