| Literature DB >> 20592203 |
Wako Yoshida1, Isabel Dziobek, Dorit Kliemann, Hauke R Heekeren, Karl J Friston, Ray J Dolan.
Abstract
Individuals with autism spectrum conditions (ASCs) have a core difficulty in recursively inferring the intentions of others. The precise cognitive dysfunctions that determine the heterogeneity at the heart of this spectrum, however, remains unclear. Furthermore, it remains possible that impairment in social interaction is not a fundamental deficit but a reflection of deficits in distinct cognitive processes. To better understand heterogeneity within ASCs, we employed a game-theoretic approach to characterize unobservable computational processes implicit in social interactions. Using a social hunting game with autistic adults, we found that a selective difficulty representing the level of strategic sophistication of others, namely inferring others' mindreading strategy, specifically predicts symptom severity. In contrast, a reduced ability in iterative planning was predicted by overall intellectual level. Our findings provide the first quantitative approach that can reveal the underlying computational dysfunctions that generate the autistic "spectrum."Entities:
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Year: 2010 PMID: 20592203 PMCID: PMC2907513 DOI: 10.1523/JNEUROSCI.0400-10.2010
Source DB: PubMed Journal: J Neurosci ISSN: 0270-6474 Impact factor: 6.167