ArticleFrontiers in behavioral neuroscience2018
Frontal Alpha Asymmetry and Theta Oscillations Associated With Information Sharing Intention.
Article in Frontiers in behavioral neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The impact of task complexity and self-regulated supports on cognitive load and emotional engagement through multimodal analysis in the metaverse learning environment.Frontiers in psychology · 2026Article
- Modulation of alpha and theta waves by social stimuli in virtual educational environments.Scientific reports · 2025Article
- EEG Oscillations as Neuroplastic Markers of Neural Compensation in Spinal Cord Injury Rehabilitation: The Role of Slow-Frequency Bands.Brain sciences · 2024Article
- The role of the target language culture on Arabic learners' fondness for Arabic poetry.Frontiers in psychology · 2024Article
- Predicting Moral Elevation Conveyed in Danmaku Comments Using EEGs.Cyborg and bionic systems (Washington, D.C.) · 2023Article
- A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research.Brain informatics · 2022Review
- Article
- Mental State Classification Using Multi-Graph Features.Frontiers in human neuroscience · 2022Article
- "Sound" Decisions: The Combined Role of Ambient Noise and Cognitive Regulation on the Neurophysiology of Food Cravings.Frontiers in neuroscience · 2022Article
- Cross-Cultural Communication on Social Media: Review From the Perspective of Cultural Psychology and Neuroscience.Frontiers in psychology · 2022Review
- Do You See What I See? Effectiveness of 360-Degree vs. 2D Video Ads Using a Neuroscience Approach.Frontiers in psychology · 2021Article
- The Relation Between Consumers' Frontal Alpha Asymmetry, Attitude, and Investment Decision.Frontiers in neuroscience · 2020Article
- Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement.PloS one · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social media has gained increasing importance in many aspects of everyday life, from building relationships to establishing collaborative networks between individuals worldwide. Sharing behavior is an essential part of maintaining these dynamic networks. However, the precise neural factors that could be related to sharing behavior in online communities remain unclear. In this study, we recorded electroencephalographic (EEG) oscillations of human subjects while they were watching short videos. The subjects were later asked to evaluate the videos based on how much they liked them and whether they would share them. We found that, at the population level, subjects watching videos that would not be shared had higher power spectral density (PSD) amplitudes in the theta band (4-8 Hz), primarily over the frontal and parietal sites of the right hemisphere, than subjects watching videos that would be shared. Previous studies have associated task disengagement with an increase in scalp-wide theta activation, which can be interpreted as a mind-wandering effect. This might suggest that the decision to not share the video may lead to a more automatic/effortless neural pattern. We also found that watching videos that would be shared was associated with lower PSD amplitudes in the alpha band (8-12 Hz) over the central and right frontal sites, and with more negative scores of frontal alpha asymmetry (FAA) index scores. These results may be related to previous work linking right-sided frontal EEG asymmetry to the pursuit of social conformity and avoidance of negative outcomes, such as social isolation. Finally, using support vector machine (SVM) algorithms, we show that these EEG parameters and preference rating scores can be used to improve the predictability of sharing information behavior. The information sharing-related EEG pattern described here could therefore improve our understanding of the neural markers associated with sharing behavior and contribute to studies about stimuli propagation.
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