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Cited by 334

The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.

Dynamic Perception of Facial Affect and Identity in the Human Brain

LaBar, K. S.·2003·Cerebral Cortex

Abstract

Functional magnetic resonance imaging (fMRI) was used to compare brain activation to static facial displays versus dynamic changes in facial identity or emotional expression. Static images depicted prototypical fearful, angry and neutral expressions. Identity morphs depicted identity changes from one person to another, always with neutral expressions. Emotion morphs depicted expression changes from neutral to fear or anger, creating the illusion that the actor was 'getting scared' or 'getting angry' in real-time. Brain regions implicated in processing facial affect, including the amygdala and fusiform gyrus, showed greater responses to dynamic versus static emotional expressions, especially for fear. Identity morphs activated a dorsal fronto-cingulo-parietal circuit and additional ventral areas, including the amygdala, that also responded to the emotion morphs. Activity in the superior temporal sulcus discriminated emotion morphs from identity morphs, extending its known role in processing biologically relevant motion. The results highlight the importance of temporal cues in the neural coding of facial displays.

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Metadata

Authors
LaBar, K. S.
Venue
Cerebral Cortex
Published
2003-10-01
Volume
13
Issue
10
Pages
1023-1033
ISSN
  • 1047-3211 (ISSN-L)
  • 1460-2199
OpenAlex
W2124217975
Cited by
334
References
96
FWCI
5.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic Perception of Facial Affect and Identity in the Human Brain. https://app.cochat.ai/papers/10.1093/cercor/13.10.1023
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LaBar, K. S. (2003). Dynamic Perception of Facial Affect and Identity in the Human Brain. Cerebral Cortex. https://doi.org/10.1093/cercor/13.10.1023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.