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Processing Faces and Facial Expressions
Abstract
This paper reviews processing of facial identity and expressions. The issue of independence of these two systems for these tasks has been addressed from different approaches over the past 25 years. More recently, neuroimaging techniques have provided researchers with new tools to investigate how facial information is processed in the brain. First, findings from "traditional" approaches to identity and expression processing are summarized. The review then covers findings from neuroimaging studies on face perception, recognition, and encoding. Processing of the basic facial expressions is detailed in light of behavioral and neuroimaging data. Whereas data from experimental and neuropsychological studies support the existence of two systems, the neuroimaging literature yields a less clear picture because it shows considerable overlap in activation patterns in response to the different face-processing tasks. Further, activation patterns in response to facial expressions support the notion of involved neural substrates for processing different facial expressions.
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“Disgust is associated with response in areas of the basal ganglia (Posamentier and Abdi, 2003) as well as reliable response in the insula, correlating with increasing intensity of disgust (Phillips et al., 1997).”
From Affective Cognition and its Disruption in Mood Disorders (2011) · cites this paper as Posamentier and Abdi, 2003
In the citing paper
“Of the six basic emotions, surprise is the least investigated and has distinct qualities.Specifically, surprise can be described as a 'transitory emotion'; it is briefly experienced and changes into other expressions depending upon the nature of the surprise (Posamentier and Abdi, 2003).”
From Affective Cognition and its Disruption in Mood Disorders (2011) · cites this paper as Posamentier and Abdi, 2003
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References 190 · Cited by 257
Research works printed but not linked: 6
- Baddeley, A. D., and Woodhead, M. (1981). Techniques for improving eyewitness identification skills. Paper presented at the SSRC Law and Psychology Conference, Trinity College, Oxford.
- Izard, C. E. (1971). The Face of Emotion, Appleton Century Crofts, New York.
- McNeill, D. (1998). The Face, Little, Brown, Boston.
- Posamentier, M. T. (2002). Developmental Prosopagnosia: A Case Study. PhD dissertation, The University of Texas at Dallas.
- Sansone, S., and Tiberghien, G. (1994). Traitement de l'expression faciale et reconnaissance des visages: Ind'ependence ou interaction? Psychol. Fr. 39(4): 327–344.
- Schultz, R. T., Romanski, L. M., and Tsatsanis, K. D. (2000b). Neurofunctional models of autistic disorder and Asperger syndrome. In Klin, A., Volkmar, F. R., and Sparrow, S. S. (eds.), Asperger Syndrome, Guilford Press, New York, pp. 172–209.
Metadata
- Authors
- Posamentier, M. T., & Abdi, H.
- Affiliations
- The University of Texas at Dallas (US)
- Corresponding author
- Posamentier, Mette T.
- ORCID
- Abdi, Hervé
- Venue
- Neuropsychology Review
- Published
- 2003-09
- Volume
- 13
- Issue
- 3
- Pages
- 113-143
- ISSN
- 1040-7308 (ISSN-L)
- 1573-6660
- OpenAlex
- W1598129572
- Cited by
- 257
- References
- 190
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 9 · 2021: 11 · 2020: 7 · 2019: 4 · 2018: 6 · 2017: 11 · 2016: 5 · 2015: 16 · 2014: 12 · 2013: 16 · 2012: 13
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neuropsychology Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Keywords
- face processing, face identity, facial expressions, face recognition (cognition), face perception, face encoding, two-system model, neural correlates, brain activation patterns
- MeSH terms
- Animals, Brain, Emotions, Facial Expression, Humans, Magnetic Resonance Imaging, Models, Neurological, Pattern Recognition, Visual, Tomography, Emission-Computed, Visual Perception
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