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Cognition in Males and Females with Autism: Similarities and Differences

Overview of attention for article published in PLOS ONE, October 2012
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Title
Cognition in Males and Females with Autism: Similarities and Differences
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047198
Pubmed ID
Authors

Meng-Chuan Lai, Michael V. Lombardo, Amber N. V. Ruigrok, Bhismadev Chakrabarti, Sally J. Wheelwright, Bonnie Auyeung, Carrie Allison, MRC AIMS Consortium, Simon Baron-Cohen

Abstract

The male bias in autism spectrum conditions (ASC) has led to females with ASC being under-researched. This lack of attention to females could hide variability due to sex that may explain some of the heterogeneity within ASC. In this study we investigate four key cognitive domains (mentalizing and emotion perception, executive function, perceptual attention to detail, and motor function) in ASC, to test for similarities and differences between males and females with and without ASC (n = 128 adults; n = 32 per group). In the mentalizing and facial emotion perception domain, males and females with ASC showed similar deficits compared to neurotypical controls. However, in attention to detail and dexterity involving executive function, although males with ASC showed poorer performance relative to neurotypical males, females with ASC performed comparably to neurotypical females. We conclude that performance in the social-cognitive domain is equally impaired in male and female adults with ASC. However, in specific non-social cognitive domains, performance within ASC depends on sex. This suggests that in specific domains, cognitive profiles in ASC are modulated by sex.

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Geographical breakdown

Country Count As %
United States 5 1%
Netherlands 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 388 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 59 15%
Student > Bachelor 58 15%
Student > Ph. D. Student 55 14%
Researcher 49 12%
Student > Doctoral Student 32 8%
Other 55 14%
Unknown 89 22%
Readers by discipline Count As %
Psychology 160 40%
Neuroscience 31 8%
Medicine and Dentistry 30 8%
Social Sciences 18 5%
Agricultural and Biological Sciences 16 4%
Other 41 10%
Unknown 101 25%