ArticleComputational intelligence and neuroscience2021
Processing of Affective Pictures: A Study Based on Functional Connectivity Network in the Cerebral Cortex.
Article in Computational intelligence and neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 13 citations in OpenAlex.
- Abnormal Activation and Connection in Middle Frontal Gyrus: A Potential Imaging Feature for Facial Synkinesis Comorbid Depression.Depression and anxiety · 2026Article
- Changes on Cognition and Brain Network Temporal Variability After Pediatric Neurosurgery.Neurosurgery · 2025Article
- Two Distinct Neural Mechanisms Underlying Acupuncture Analgesia.Frontiers in pain research (Lausanne, Switzerland) · 2022Article
- Multimodal assessment of acute stress dynamics using an aversive video paradigm (AVP).International journal of clinical and health psychology : IJCHPArticle
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4 authors at 1 institution in 1 country.
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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.
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