ArticleScientific reports2018
Common Functional Brain States Encode both Perceived Emotion and the Psychophysiological Response to Affective Stimuli.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Neural Patterns of Social Pain in the Brain-Wide Representations Across Social Contexts.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Perspective-taking is associated with increased discriminability of affective states in the ventromedial prefrontal cortex.Social cognitive and affective neuroscience · 2022Article
- Fear in the Theater of the Mind: Differential Fear Conditioning With Imagined Stimuli.Psychological science · 2022Article
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- Article
- Identifying the Neural Correlates of Resting State Affect Processing Dynamics.Frontiers in neuroimaging · 2022Article
- Head-Down Tilt Position, but Not the Duration of Bed Rest Affects Resting State Electrocortical Activity.Frontiers in physiology · 2021Article
- Combining Physiological and Neuroimaging Measures to Predict Affect Processing Induced by Affectively Valent Image Stimuli.Scientific reports · 2020Article
- Linking Personality Traits to Individual Differences in Affective Spaces.Frontiers in psychology · 2020Article
- fNIRS Evidence for Recognizably Different Positive Emotions.Frontiers in human neuroscience · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Multivariate pattern analysis (MVPA) of functional magnetic resonance imaging (fMRI) data has critically advanced the neuroanatomical understanding of affect processing in the human brain. Central to these advancements is the brain state, a temporally-succinct fMRI-derived pattern of neural activation, which serves as a processing unit. Establishing the brain state's central role in affect processing, however, requires that it predicts multiple independent measures of affect. We employed MVPA-based regression to predict the valence and arousal properties of visual stimuli sampled from the International Affective Picture System (IAPS) along with the corollary skin conductance response (SCR) for demographically diverse healthy human participants (n = 19). We found that brain states significantly predicted the normative valence and arousal scores of the stimuli as well as the attendant individual SCRs. In contrast, SCRs significantly predicted arousal only. The prediction effect size of the brain state was more than three times greater than that of SCR. Moreover, neuroanatomical analysis of the regression parameters found remarkable agreement with regions long-established by fMRI univariate analyses in the emotion processing literature. Finally, geometric analysis of these parameters also found that the neuroanatomical encodings of valence and arousal are orthogonal as originally posited by the circumplex model of dimensional emotion.
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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.