Trial reportPloS one2014
Classifying different emotional states by means of EEG-based functional connectivity patterns.
Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
58 citing papers in PubMed.
- Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness.Journal of translational medicine · 2022Trial
- Design and Analysis of Emotion Elicitation Techniques for ECG-Based Emotion Recognition in Children with Autism Spectrum Disorder (ASD).Applied psychophysiology and biofeedback · 2026Article
- Assessing good physical health and resilience as a foundation for positive welfare in chickens.Poultry science · 2026Review
- Toward Multi-Dimensional Depression Assessment: EEG-Based Machine Learning and Neurophysiological Interpretation for Diagnosis, Severity, and Cognitive Decline.Brain sciences · 2026Article
- EEG emotion recognition via multilevel entropy analysis: The power of entropy of entropy on phase dynamics.PloS one · 2026Article
- Topological resilience of EEG-based functional networks during virtual reality-induced emotional states.Frontiers in human neuroscience · 2026Article
- Aberrant Cognitive-Affective Empathy in Children With Autism Spectrum Disorder: Electrophysiological Evidence of Viewing Social Animation.Journal of autism and developmental disorders · 2025Article
- Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition.Scientific reports · 2025Article
- Effects of Forest Trail and Ground Walking on Mental and Physical Health Promotion in Middle-Aged Women Living in Urban Areas.Healthcare (Basel, Switzerland) · 2025Article
- EEG-based functional connectivity patterns during boredom in an educational context.Scientific reports · 2025Article
- Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data.Brain sciences · 2025Article
- Neural correlates of power-related postures and their behavioural consequences: a preliminary electrophysiological investigation.Social cognitive and affective neuroscience · 2025Article
- MSBiLSTM-Attention: EEG Emotion Recognition Model Based on Spatiotemporal Feature Fusion.Biomimetics (Basel, Switzerland) · 2025Article
- EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis.Scientific reports · 2025Article
- Virtual reality-enabled high-performance emotion estimation with the most significant channel pairs.Heliyon · 2024Article
- Review
- Online functional connectivity analysis of large all-to-all networks in MNE Scan.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Enhancement of prefrontal functional connectivity under the influence of concurrent physical load during mental tasks.Frontiers in human neuroscience · 2024Article
- Relationships between feeding behaviors and emotions: an electroencephalogram (EEG) frequency analysis study.The journal of physiological sciences : JPS · 2023Article
- Stylized faces enhance ERP features used for the detection of emotional responses.Frontiers in human neuroscience · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to classify different emotional states by means of EEG-based functional connectivity patterns. Forty young participants viewed film clips that evoked the following emotional states: neutral, positive, or negative. Three connectivity indices, including correlation, coherence, and phase synchronization, were used to estimate brain functional connectivity in EEG signals. Following each film clip, participants were asked to report on their subjective affect. The results indicated that the EEG-based functional connectivity change was significantly different among emotional states. Furthermore, the connectivity pattern was detected by pattern classification analysis using Quadratic Discriminant Analysis. The results indicated that the classification rate was better than chance. We conclude that estimating EEG-based functional connectivity provides a useful tool for studying the relationship between brain activity and emotional states.
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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.