ArticleNeuropsychologia2020
Neural signatures of dynamic emotion constructs in the human brain.
Article in Neuropsychologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
19 citing papers in PubMed.
- Dynamic fMRI networks of human emotion.eLife · 2026Article
- Age differences in rapid attention to emotional stimuli are driven more by valence than by discrete emotions.Emotion (Washington, D.C.) · 2026Article
- Shared Neural Codes for Emotion Recognition in Emoji and Human Faces.Psychophysiology · 2026Article
- The Role of Exposure Time on the Subjective Ratings of Emotional Images in Younger and Older Adults.Affective science · 2025Article
- Disgust memory enhancement extends to more accurate memory but not more false memories.Memory & cognition · 2025Article
- Rapid visual engagement in neural processing of detailed touch interactions.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Movement trajectories as a window into the dynamics of emerging neural representations.Scientific reports · 2024Article
- Rapid Processing of Observed Touch through Social Perceptual Brain Regions: An EEG-fMRI Fusion Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Predicting Moral Elevation Conveyed in Danmaku Comments Using EEGs.Cyborg and bionic systems (Washington, D.C.) · 2023Article
- Don't look now! Emotion-induced blindness: The interplay between emotion and attention.Attention, perception & psychophysics · 2022Review
- A ventral stream-prefrontal cortex processing cascade enables working memory gating dynamics.Communications biology · 2022Article
- Observing others give & take: A computational account of bystanders' feelings and actions.PLoS computational biology · 2022Article
- The representational dynamics of perceived voice emotions evolve from categories to dimensions.Nature human behaviour · 2021Article
- Chinese Character Processing in Visual Masking.Frontiers in psychology · 2021Article
- The Temporal and Spatial Dynamics of Cortical Emotion Processing in Different Brain Frequencies as Assessed Using the Cluster-Based Permutation Test: An MEG Study.Brain sciences · 2020Article
- Decoding Stimulus-Response Representations and Their Stability Using EEG-Based Multivariate Pattern Analysis.Cerebral cortex communications · 2020Article
- Common Functional Brain States Encode both Perceived Emotion and the Psychophysiological Response to Affective Stimuli.Scientific reports · 2018Article
- Dimensional emotions are represented by distinct topographical brain networks.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
How is emotion represented in the brain: is it categorical or along dimensions? In the present study, we applied multivariate pattern analysis (MVPA) to magnetoencephalography (MEG) to study the brain's temporally unfolding representations of different emotion constructs. First, participants rated 525 images on the dimensions of valence and arousal and by intensity of discrete emotion categories (happiness, sadness, fear, disgust, and sadness). Thirteen new participants then viewed subsets of these images within an MEG scanner. We used Representational Similarity Analysis (RSA) to compare behavioral ratings to the unfolding neural representation of the stimuli in the brain. Ratings of valence and arousal explained significant proportions of the MEG data, even after corrections for low-level image properties. Additionally, behavioral ratings of the discrete emotions fear, disgust, and happiness significantly predicted early neural representations, whereas rating models of anger and sadness did not. Different emotion constructs also showed unique temporal signatures. Fear and disgust - both highly arousing and negative - were rapidly discriminated by the brain, but disgust was represented for an extended period of time relative to fear. Overall, our findings suggest that 1) dimensions of valence and arousal are quickly represented by the brain, as are some discrete emotions, and 2) different emotion constructs exhibit unique temporal dynamics. We discuss implications of these findings for theoretical understanding of emotion and for the interplay of discrete and dimensional aspects of emotional experience.
Indexed as
Identifiers
What OpenQuestion holds
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.