Children with autism spectrum disorder show reduced adaptation to number

Proceedings of the National Academy of Sciences of the United States of America - Tập 112 Số 25 - Trang 7868-7872 - 2015
Marco Turi1,2, David C. Burr2,3, Cecilia Kim4, David Aagten‐Murphy5, Filippo Muratori6,7, Elizabeth Pellicano3,8
1aDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy;
2bDepartment of Neuroscience, Psychology, Pharmacology, and Child Health, University of Florence, 50139 Florence, Italy;
3cSchool of Psychology, University of Western Australia, Perth, 6009, Australia;
4dDepartment of Developmental Neuroscience, The Scientific Recovery and Care Scientific Institute Stella Maris Foundation, University of Pisa, 56128 Pisa, Italy;
5Department of Psychology, Ludwig-Maximilians-Universität München, 80802 Munich, Germany
6Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
7Department of Developmental Neuroscience, The Scientific Recovery and Care Scientific Institute Stella Maris Foundation, University of Pisa, 56128 Pisa, Italy;
8gCentre for Research in Autism and Education, Department of Psychology and Human Development, University College London Institute of Education, University College London, London WC1H 0NU, United Kingdom

Tóm tắt

Significance It has long been known that perception is atypical in autism. The mechanisms underlying these atypicalities, however, are far from being well understood. Here, we test the integrity of one candidate mechanism, adaptation, in children with and without autism by assessing their susceptibility to number adaptation. We show that adaptation to numerosity is significantly attenuated in children with autism, with the size of their aftereffects only one-third of those of typical children. These results extend existing findings of reduced adaptation to high-level social stimuli and critically suggest that atypicalities in adaptive mechanisms may be pervasive in autism, at least at higher levels. These results fit well with recent Bayesian theories of autism, which propose fundamental problems with prediction.

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Proceedings of the National Academy of Sciences of the United States of America

Tập 112 Số 25

7868-7872

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