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The Neural Representation of Visually Evoked Emotion Is High-Dimensional, Categorical, and Distributed across Transmodal Brain Regions
- Source :
- iScience, iScience, Vol 23, Iss 5, Pp-(2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Summary Central to our subjective lives is the experience of different emotions. Recent behavioral work mapping emotional responses to 2,185 videos found that people experience upward of 27 distinct emotions occupying a high-dimensional space, and that emotion categories, more so than affective dimensions (e.g., valence), organize self-reports of subjective experience. Here, we sought to identify the neural substrates of this high-dimensional space of emotional experience using fMRI responses to all 2,185 videos. Our analyses demonstrated that (1) dozens of video-evoked emotions were accurately predicted from fMRI patterns in multiple brain regions with different regional configurations for individual emotions; (2) emotion categories better predicted cortical and subcortical responses than affective dimensions, outperforming visual and semantic covariates in transmodal regions; and (3) emotion-related fMRI responses had a cluster-like organization efficiently characterized by distinct categories. These results support an emerging theory of the high-dimensional emotion space, illuminating its neural foundations distributed across transmodal regions.<br />Graphical Abstract<br />Highlights • Dozens of video-evoked emotions were predicted from fMRI patterns in multiple regions • Categories better predicted cortical and subcortical responses than dimensions • Emotion-related responses had a cluster-like organization characterized by categories • Neural representation of emotion is high-dimensional, categorical, and distributed<br />Neuroscience; Cognitive Neuroscience; Techniques in Neuroscience
- Subjects :
- 0301 basic medicine
Multidisciplinary
Cognitive Neuroscience
02 engineering and technology
High dimensional
Cognitive neuroscience
021001 nanoscience & nanotechnology
Article
03 medical and health sciences
Techniques in Neuroscience
030104 developmental biology
lcsh:Q
Valence (psychology)
lcsh:Science
0210 nano-technology
Psychology
Categorical variable
Neuroscience
Cognitive psychology
Subjects
Details
- ISSN :
- 25890042
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- iScience
- Accession number :
- edsair.doi.dedup.....fbc065cebc719669c3a89eba48639cbd