ArticleEntropy (Basel, Switzerland)2020
Hemispheric Asymmetry of Functional Brain Networks under Different Emotions Using EEG Data.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 35 citations in OpenAlex.
- Neural Mechanisms of Shooting Preparation Under High-Risk and High-Precision Tasks: A Multiscale EEG Study.Brain and behavior · 2026Article
- Effects of Cerebellar Repetitive Transcranial Magnetic Stimulation at Different Frequencies on Working Memory: An EEG Study.CNS neuroscience & therapeutics · 2025Article
- Passenger physiology in self-driving vehicles during unexpected events.Scientific reports · 2025Article
- Dynamic facial trustworthiness perception in real-time social contexts.Frontiers in psychology · 2025Article
- Linking brain-heart interactions to emotional arousal in immersive virtual reality.Psychophysiology · 2024Article
- Impact of negative links on the structural balance of brain functional network during emotion processing.Scientific reports · 2023Article
- Classification of emotional stress and physical stress using a multispectral based deep feature extraction model.Scientific reports · 2023Article
- Multidimensional Feature in Emotion Recognition Based on Multi-Channel EEG Signals.Entropy (Basel, Switzerland) · 2022Article
- EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects.Entropy (Basel, Switzerland) · 2021Article
- Preliminary Study on Changes of Sleep EEG Power and Plasma Melatonin in Male Patients With Major Depressive Disorder After 8 Weeks Treatment.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Despite many studies reporting hemispheric asymmetry in the representation and processing of emotions, the essence of the asymmetry remains controversial. Brain network analysis based on electroencephalography (EEG) is a useful biological method to study brain function. Here, EEG data were recorded while participants watched different emotional videos. According to the videos' emotional categories, the data were divided into four categories: high arousal high valence (HAHV), low arousal high valence (LAHV), low arousal low valence (LALV) and high arousal low valence (HALV). The phase lag index as a connectivity index was calculated in theta (4-7 Hz), alpha (8-13 Hz), beta (14-30 Hz) and gamma (31-45 Hz) bands. Hemispheric networks were constructed for each trial, and graph theory was applied to quantify the hemispheric networks' topological properties. Statistical analyses showed significant topological differences in the gamma band. The left hemispheric network showed significantly higher clustering coefficient (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.