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Sexually dimorphic facial features vary according to level of autistic-like traits in the general population
BACKGROUND: In a recent study, Bejerot et al. observed that several physical features (including faces) of individuals with an autism spectrum disorder (ASD) were more androgynous than those of their typically developed counterparts, suggesting that ASD may be understood as a ‘gender defiant’ disord...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404287/ https://www.ncbi.nlm.nih.gov/pubmed/25901187 http://dx.doi.org/10.1186/s11689-015-9109-6 |
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author | Gilani, Syed Zulqarnain Tan, Diana Weiting Russell-Smith, Suzanna N Maybery, Murray T Mian, Ajmal Eastwood, Peter R Shafait, Faisal Goonewardene, Mithran Whitehouse, Andrew JO |
author_facet | Gilani, Syed Zulqarnain Tan, Diana Weiting Russell-Smith, Suzanna N Maybery, Murray T Mian, Ajmal Eastwood, Peter R Shafait, Faisal Goonewardene, Mithran Whitehouse, Andrew JO |
author_sort | Gilani, Syed Zulqarnain |
collection | PubMed |
description | BACKGROUND: In a recent study, Bejerot et al. observed that several physical features (including faces) of individuals with an autism spectrum disorder (ASD) were more androgynous than those of their typically developed counterparts, suggesting that ASD may be understood as a ‘gender defiant’ disorder. These findings are difficult to reconcile with the hypermasculinisation account, which proposes that ASD may be an exaggerated form of cognitive and biological masculinity. The current study extended these data by first identifying six facial features that best distinguished males and females from the general population and then examining these features in typically developing groups selected for high and low levels of autistic-like traits. METHODS: In study 1, three-dimensional (3D) facial images were collected from 208 young adult males and females recruited from the general population. Twenty-three facial distances were measured from these images and a gender classification and scoring algorithm was employed to identify a set of six facial features that most effectively distinguished male from female faces. In study 2, measurements of these six features were compared for groups of young adults selected for high (n = 46) or low (n = 66) levels of autistic-like traits. RESULTS: For each sex, four of the six sexually dimorphic facial distances significantly differentiated participants with high levels of autistic-like traits from those with low trait levels. All four features were less masculinised for high-trait males compared to low-trait males. Three of four features were less feminised for high-trait females compared to low-trait females. One feature was, however, not consistent with the general pattern of findings and was more feminised among females who reported more autistic-like traits. Based on the four significantly different facial distances for each sex, discriminant function analysis correctly classified 89.7% of the males and 88.9% of the females into their respective high- and low-trait groups. CONCLUSIONS: The current data provide support for Bejerot et al.’s androgyny account since males and females with high levels of autistic-like traits generally showed less sex-typical facial features than individuals with low levels of autistic-like traits. |
format | Online Article Text |
id | pubmed-4404287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44042872015-04-22 Sexually dimorphic facial features vary according to level of autistic-like traits in the general population Gilani, Syed Zulqarnain Tan, Diana Weiting Russell-Smith, Suzanna N Maybery, Murray T Mian, Ajmal Eastwood, Peter R Shafait, Faisal Goonewardene, Mithran Whitehouse, Andrew JO J Neurodev Disord Research BACKGROUND: In a recent study, Bejerot et al. observed that several physical features (including faces) of individuals with an autism spectrum disorder (ASD) were more androgynous than those of their typically developed counterparts, suggesting that ASD may be understood as a ‘gender defiant’ disorder. These findings are difficult to reconcile with the hypermasculinisation account, which proposes that ASD may be an exaggerated form of cognitive and biological masculinity. The current study extended these data by first identifying six facial features that best distinguished males and females from the general population and then examining these features in typically developing groups selected for high and low levels of autistic-like traits. METHODS: In study 1, three-dimensional (3D) facial images were collected from 208 young adult males and females recruited from the general population. Twenty-three facial distances were measured from these images and a gender classification and scoring algorithm was employed to identify a set of six facial features that most effectively distinguished male from female faces. In study 2, measurements of these six features were compared for groups of young adults selected for high (n = 46) or low (n = 66) levels of autistic-like traits. RESULTS: For each sex, four of the six sexually dimorphic facial distances significantly differentiated participants with high levels of autistic-like traits from those with low trait levels. All four features were less masculinised for high-trait males compared to low-trait males. Three of four features were less feminised for high-trait females compared to low-trait females. One feature was, however, not consistent with the general pattern of findings and was more feminised among females who reported more autistic-like traits. Based on the four significantly different facial distances for each sex, discriminant function analysis correctly classified 89.7% of the males and 88.9% of the females into their respective high- and low-trait groups. CONCLUSIONS: The current data provide support for Bejerot et al.’s androgyny account since males and females with high levels of autistic-like traits generally showed less sex-typical facial features than individuals with low levels of autistic-like traits. BioMed Central 2015-04-15 2015 /pmc/articles/PMC4404287/ /pubmed/25901187 http://dx.doi.org/10.1186/s11689-015-9109-6 Text en © Gilani et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Gilani, Syed Zulqarnain Tan, Diana Weiting Russell-Smith, Suzanna N Maybery, Murray T Mian, Ajmal Eastwood, Peter R Shafait, Faisal Goonewardene, Mithran Whitehouse, Andrew JO Sexually dimorphic facial features vary according to level of autistic-like traits in the general population |
title | Sexually dimorphic facial features vary according to level of autistic-like traits in the general population |
title_full | Sexually dimorphic facial features vary according to level of autistic-like traits in the general population |
title_fullStr | Sexually dimorphic facial features vary according to level of autistic-like traits in the general population |
title_full_unstemmed | Sexually dimorphic facial features vary according to level of autistic-like traits in the general population |
title_short | Sexually dimorphic facial features vary according to level of autistic-like traits in the general population |
title_sort | sexually dimorphic facial features vary according to level of autistic-like traits in the general population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404287/ https://www.ncbi.nlm.nih.gov/pubmed/25901187 http://dx.doi.org/10.1186/s11689-015-9109-6 |
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