ArticleCyborg and bionic systems (Washington, D.C.)2023
Predicting Moral Elevation Conveyed in Danmaku Comments Using EEGs.
Article in Cyborg and bionic systems (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
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- Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder.Scientific reports · 2025Article
- The buffering effects of mindfulness and organizational support on the mental health of hospital pharmacists in high-workload environments.Scientific reports · 2025Article
- Exploration of the Prognostic Role of Apoptosis-Related Genes in Glioblastoma.Stem cells international · 2025Article
- High-fidelity steganography in EEG signals using advanced transform-based methods.PeerJ. Computer science · 2025Article
- Enhanced visibility graph for EEG classification.Frontiers in neuroscience · 2025Article
- Detection and isolation of brain tumors in cancer patients using neural network techniques in MRI images.Scientific reports · 2024Article
- Amygdala and cognitive impairment in cerebral small vessel disease: structural, functional, and metabolic changes.Frontiers in neurology · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Moral elevation, the emotion that arises when individuals observe others' moral behaviors, plays an important role in determining moral behaviors in real life. While recent research has demonstrated the potential to decode basic emotions with brain signals, there has been limited exploration of affective computing for moral elevation, an emotion related to social cognition. To address this gap, we recorded electroencephalography (EEG) signals from 23 participants while they viewed videos that were expected to elicit moral elevation. More than 30,000 danmaku comments were extracted as a crowdsourcing tagging method to label moral elevation continuously at a 1-s temporal resolution. Then, by employing power spectra features and the least absolute shrinkage and selection operator regularized regression analyses, we achieved a promising prediction performance for moral elevation (prediction
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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.