Cited by 102Face Recognition and PerceptionAction Observation and SynchronizationNeural and Behavioral Psychology Studies

Perceiving emotional expressions in others: Activation likelihood estimation meta-analyses of explicit evaluation, passive perception and incidental perception of emotions

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Dricu, Mihai, Frühholz, Sascha·2016·Neuroscience & Biobehavioral Reviews

Abstract

We conducted a series of activation likelihood estimation (ALE) meta-analyses to determine the commonalities and distinctions between separate levels of emotion perception, namely incidental perception, passive perception, and explicit evaluation of emotional expressions. Pooling together more than 180 neuroimaging experiments using facial, vocal or body expressions, our results are threefold. First, explicitly evaluating the emotions of others recruits brain regions associated with the sensory processing of expressions, such as the inferior occipital gyrus, middle fusiform gyrus and the superior temporal gyrus, and brain regions involved in low-level and high-level mindreading, namely the posterior superior temporal sulcus, the inferior frontal cortex and dorsomedial frontal cortex. Second, we show that only the sensory regions were also consistently active during the passive perception of emotional expressions. Third, we show that the brain regions involved in mindreading were active during the explicit evaluation of both facial and vocal expressions. We discuss these results in light of the existing literature and conclude by proposing a cognitive model for perceiving and evaluating the emotions of others.

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Crossref · 10.1016/j.neubiorev.2016.10.020

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  • The effect found in discrimination of both negative and positive states supports evidence of a generalized role of OXT in modulating CeA function in response to socially communicated salient information.

    “The effect we found in the discrimination of both negative and positive states, however, supports the evidence of a generalized role of OXT in modulating CeA function in the response to socially communicated salient information, similar to evidence in humans [70,90,92,106,107].”
  • Mice can discriminate emotions in others in a way that is distinct from sociability.

    “our data provide some indication that, similar to human emotion recognition tasks [70,90,92,121], mice can discriminate emotions in others in a way that is distinct from sociability.”

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References 254 · Cited by 102

Authors
Dricu, M., & Frühholz, S.
Affiliations
University of Geneva (CH)
Corresponding author
Dricu, Mihai
Venue
Neuroscience & Biobehavioral Reviews
Publisher
Elsevier BV
Published
2016-12
Volume
71
Pages
810-828
ISSN
0149-7634 (ISSN-L)
OpenAlex
W2550526227
Cited by
102
References
254
Citations by year
2026: 7 · 2025: 11 · 2024: 9 · 2023: 13 · 2022: 7 · 2021: 13 · 2020: 18 · 2019: 7 · 2018: 7 · 2017: 9 · 2016: 1
FWCI
0.84
Type
journal article
Language
en
Open access
Locations
  • Neuroscience & Biobehavioral Reviews (acceptedVersion)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (105314_146559/1)
  • National Center for Theoretical Sciences (51NF40-104897, SNSF PP00P1_157409/1)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
emotion perception, emotional expression, facial expressions, vocal expression, body expression, theory of mind, passive perception, superior temporal sulcus, fusiform gyrus, inferior frontal cortex, dorsomedial frontal cortex, inferior occipital gyrus
MeSH terms
Brain, Brain Mapping, Emotions, Facial Expression, Humans, Magnetic Resonance Imaging, Likelihood Functions

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