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Beauty in a smile: the role of medial orbitofrontal cortex in facial attractiveness
Open accessAbstract
The attractiveness of a face is a highly salient social signal, influencing mate choice and other social judgements. In this study, we used event-related functional magnetic resonance imaging (fMRI) to investigate brain regions that respond to attractive faces which manifested either a neutral or mildly happy face expression. Attractive faces produced activation of medial orbitofrontal cortex (OFC), a region involved in representing stimulus-reward value. Responses in this region were further enhanced by a smiling facial expression, suggesting that the reward value of an attractive face as indexed by medial OFC activity is modulated by a perceiver directed smile.
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“Watson and colleagues [334] outlined a framework delineating linkages between AN and reward-processing deficits. Their model stressed the highly social nature of eating, the overlapping reward circuitry of gustatory and social stimuli [335,336], and the tendency of individuals with AN to deprive themselves of pleasure.”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [336]
In the citing paper
“The observation of social stimuli in general (e.g., smiling faces) increases activity in medial prefrontal cortex 33, 34 and striatum in cases where the social stimuli have a high value (e.g., participants will exert effort or pay to view an attractive face) 35–38.”
From The social brain and reward: Social information processing in the human striatum (2014) · cites this paper as [33]
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Metadata
- Authors
- O’Doherty, J., Winston, J., Critchley, H., Perrett, D., Burt, D. M., & Dolan, R. J.
- Affiliations
- National Hospital for Neurology and Neurosurgery (GB)
- University of St Andrews (GB)
- The Royal Free Hospital (GB)
- Corresponding author
- O’Doherty, J
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2003-01
- Volume
- 41
- Issue
- 2
- Pages
- 147-155
- ISSN
- 0028-3932 (ISSN-L)
- OpenAlex
- W2138900344
- Cited by
- 898
- References
- 54
- Citations by year
- 2026: 14 · 2025: 17 · 2024: 27 · 2023: 35 · 2022: 22 · 2021: 39 · 2020: 37 · 2019: 52 · 2018: 31 · 2017: 41 · 2016: 52 · 2015: 47 · 2014: 49 · 2013: 62 · 2012: 47
- FWCI
- 37.16
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Neuropsychologia (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Wellcome Trust
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- facial attractiveness, medial orbitofrontal cortex, reward value, mate choice, social signals, face perception
- MeSH terms
- Adult, Beauty, Brain Mapping, Facial Expression, Female, Frontal Lobe, Humans, Magnetic Resonance Imaging, Male, Sex Factors, Smiling, Social Behavior, Social Perception, Visual Perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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