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Autor/inn/enLeppanen, Jukka M.; Richmond, Jenny; Vogel-Farley, Vanessa K.; Moulson, Margaret C.; Nelson, Charles A.
TitelCategorical Representation of Facial Expressions in the Infant Brain
QuelleIn: Infancy, 14 (2009) 3, S.346-362 (17 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1525-0008
SchlagwörterNonverbal Communication; Child Development; Infants; Classification; Human Body; Cognitive Processes; Diagnostic Tests; Psychological Patterns; Brain Hemisphere Functions; Developmental Stages
AbstractCategorical perception, demonstrated as reduced discrimination of within-category relative to between-category differences in stimuli, has been found in a variety of perceptual domains in adults. To examine the development of categorical perception in the domain of facial expression processing, we used behavioral and event-related potential (ERP) methods to assess discrimination of within-category (happy-happy) and between-category (happy-sad) differences in facial expressions in 7-month-old infants. Data from a visual paired-comparison test and recordings of attention-sensitive ERPs showed no discrimination of facial expressions in the within-category condition, whereas reliable discrimination was observed in the between-category condition. The results also showed that face-sensitive ERPs over occipital-temporal scalp (P400) were attenuated in the within-category condition relative to the between-category condition, suggesting a potential neural basis for the reduced within-category sensitivity. Together, these results suggest that the neural systems underlying categorical representation of facial expressions emerge during the early stages of postnatal development, before acquisition of language. (Contains 3 figures and 2 footnotes.) (As Provided).
AnmerkungenPsychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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