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Quantifying emotion-dependent brain-eye interactions during audiovisual emotional stimulation
Feryal A Alskafi1,2, Ahsan H Khandoker1,2, Faezeh Marzbanrad3
1Department of Biomedical Engineering and Biotechnology, Khalifa University, Abu Dhabi, United Arab Emirates.
Frontiers in Systems Neuroscience
|May 1, 2026
Summary
Electroencephalography (EEG) and electrooculography (EOG) interactions reveal emotion-specific brain activity. Eye movement complexity and EEG-EOG coupling change with arousal and valence, highlighting affective processing networks.
Area of Science:
- Neuroscience
- Affective Science
- Signal Processing
Background:
- Electrooculography (EOG) measures eye movements but is underutilized as a physiological signal.
- Understanding electroencephalography (EEG)-EOG coupling is crucial for affective neuroscience.
Purpose of the Study:
- To investigate emotion-specific changes in arousal and valence reflected in EEG-EOG interactions.
- To determine directional and frequency-specific coupling between EEG and EOG signals.
Main Methods:
- Utilized the DEAP dataset with 32 participants viewing music videos and rating emotions.
- Analyzed EEG signals (theta, alpha, beta, gamma bands) and EOG complexity (entropy measures).
- Assessed EEG-EOG coupling using the controlled time delay stability (CTDS) framework.
Main Results:
- Emotion-related differences were found in horizontal and vertical EOG complexity.
- EEG-EOG coupling varied with emotion, strongest in gamma band at sensorimotor and frontal sites.
- Directional EOG-to-EEG coupling was prominent at frontal, sensorimotor, and occipital sites.
Conclusions:
- Emotional states correlate with frequency- and channel-specific shifts in EEG-EOG interactions.
- Revealed directional dynamics linking eye movements and cortical activity in affective processing.
- Demonstrated a structured, context-sensitive neural architecture for affective processing.
