The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Rapid perceptual integration of facial expression and emotional body language
Open accessAbstract
In our natural world, a face is usually encountered not as an isolated object but as an integrated part of a whole body. The face and the body both normally contribute in conveying the emotional state of the individual. Here we show that observers judging a facial expression are strongly influenced by emotional body language. Photographs of fearful and angry faces and bodies were used to create face-body compound images, with either matched or mismatched emotional expressions. When face and body convey conflicting emotional information, judgment of facial expression is hampered and becomes biased toward the emotion expressed by the body. Electrical brain activity was recorded from the scalp while subjects attended to the face and judged its emotional expression. An enhancement of the occipital P1 component as early as 115 ms after presentation onset points to the existence of a rapid neural mechanism sensitive to the degree of agreement between simultaneously presented facial and bodily emotional expressions, even when the latter are unattended.
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Cites
A new method for off-line removal of ocular artifact
Gratton, G., Coles, M. G. H., & Donchin, E. (1983) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(83)90135-9 · Cited by 5,055
Empathy: its ultimate and proximate bases
Preston, S. D., & de Waal, F. B. M. (2002) · Behavioral and Brain Sciences · doi:10.1017/s0140525x02000018 · Cited by 4,126
Speed of processing in the human visual system
Thorpe, S., Fize, D., & Marlot, C. (1996) · Nature · doi:10.1038/381520a0 · Cited by 3,538
Event-related brain potentials in the study of visual selective attention
Hillyard, S. A., & Anllo-Vento, L. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.781 · Cited by 1,525
Distinct spatial frequency sensitivities for processing faces and emotional expressions
Vuilleumier, P., Armony, J. L., Driver, J., & Dolan, R. J. (2003) · Nature Neuroscience · doi:10.1038/nn1057 · Cited by 1,117
Sinha, P. (2002) · Nature Neuroscience · doi:10.1038/nn949 · Cited by 65
Cited by
(2016) · doi:10.3389/fpsyg · Cited by 801
Towards the neurobiology of emotional body language
de Gelder, B. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn1872 · Cited by 786
Self-citationBody Cues, Not Facial Expressions, Discriminate Between Intense Positive and Negative Emotions
Aviezer, H., Trope, Y., & Todorov, A. (2012) · Science · doi:10.1126/science.1224313 · Cited by 786
The neural basis of visual body perception
Peelen, M. V., & Downing, P. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2195 · Cited by 697
Affective Body Expression Perception and Recognition: A Survey
Kleinsmith, A., & Bianchi-Berthouze, N. (2013) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.16 · Cited by 607
Metadata
- Authors
- Meeren, H. K. M., van Heijnsbergen, C. C. R. J., & de Gelder, B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-10-31
- Volume
- 102
- Issue
- 45
- Pages
- 16518-16523
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2147449317
- Cited by
- 675
- References
- 6
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- green
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