ArticleFrontiers in neuroscience2020
EEG Functional Connectivity Underlying Emotional Valance and Arousal Using Minimum Spanning Trees.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 36 citations in OpenAlex.
- Topological resilience of EEG-based functional networks during virtual reality-induced emotional states.Frontiers in human neuroscience · 2026Article
- Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition.Scientific reports · 2025Article
- Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study.Journal of behavioral addictions · 2024Article
- Dynamic Neural Patterns of Human Emotions in Virtual Reality: Insights from EEG Microstate Analysis.Brain sciences · 2024Article
- Persistent homology-based functional connectivity and its association with cognitive ability: Life-span study.Human brain mapping · 2023Article
- EEG emotion recognition based on cross-frequency granger causality feature extraction and fusion in the left and right hemispheres.Frontiers in neuroscience · 2022Article
- Enhancing Emotion Recognition Using Region-Specific Electroencephalogram Data and Dynamic Functional Connectivity.Frontiers in neuroscience · 2022Article
- Social Advertising Effectiveness in Driving Action: A Study of Positive, Negative and Coactive Appeals on Social Media.International journal of environmental research and public health · 2021Article
- Multistability in a star network of Kuramoto-type oscillators with synaptic plasticity.Scientific reports · 2021Article
- Cross-Subject EEG-Based Emotion Recognition Through Neural Networks With Stratified Normalization.Frontiers in neuroscience · 2021Article
- Special Patterns of Dynamic Brain Networks Discriminate Between Face and Non-face Processing: A Single-Trial EEG Study.Frontiers in neuroscience · 2021Article
- Functional Connectivity Analysis of Prej udice Among Colombian Armed Conflict Former Actors.International journal of psychological researchArticle
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Authors and funding
9 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
In recent years, traditional methods such as power spectrum and amplitude analysis have been used to research the emotional electroencephalogram (EEG). The brain network method is also used in emotional EEG research, which can better reflect the activity of brains. A minimum spanning tree (MST) represents the key information flow in the weighted brain network, and it provides a sensitive method to capture subtle information in network organization while effectively avoiding the shortcomings of traditional brain networks. The DEAP dataset provides electroencephalogram (EEG) data for four categories of emotions: high arousal and high valence (HAHV), high arousal and low valence (HALV), low arousal and high valence (LAHV), and low arousal and low valence (LALV). Phase lag index (PLI) weighted matrices were calculated in five frequency bands. On this basis, the minimum spanning trees were constructed. At the same valence level in the gamma (γ) band, HAHV and HALV showed significant higher mean PLI (MPLI), maximum degree (Degree
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