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Social interest and the development of cortical face specialization: What autism teaches us about face processing
Abstract
Investigations of face processing in persons with an autism spectrum disorder (ASD) inform upon theories of the development of “normal” face processing, and the story that emerges challenges some models of the nature and origin of cortical face specialization. Individuals with an ASD possess deficits in face processing and a lack of a fusiform face area (FFA). Evidence from studies of ASD can be conceptualized best using an expertise framework of face processing rather than models that postulate a face module in the fusiform gyrus. Because persons with an ASD have reduced social interest, they may fail to develop cortical face specialization. Face specialization may develop in normal individuals because they are socially motivated to regard the face, and such motivation promotes expertise for faces. The amygdala is likely the key node in the system that marks objects as emotionally salient and could be crucial to the development of cortical face specialization. © 2002 Wiley Periodicals, Inc. Dev Psychobiol 40: 213–225, 2002. DOI 10.1002/dev.10028
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Self-citationHarms, M. B., Martin, A., & Wallace, G. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9138-6 · Cited by 1,028
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Metadata
- Authors
- Grelotti, D. J., Gauthier, I., & Schultz, R. T.
- Venue
- Developmental Psychobiology
- Publisher
- Wiley
- Published
- 2002-02-27
- Volume
- 40
- Issue
- 3
- Pages
- 213-225
- ISSN
- 0012-1630 (ISSN-L)
- 1098-2302
- OpenAlex
- W2049227985
- Cited by
- 386
- References
- 113
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- closed
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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.