The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London WC1N 3BG, United Kingdom.
J Neurosci. 2010 Jun 30;30(26):8815-8. doi: 10.1523/JNEUROSCI.0400-10.2010.
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."
自闭症谱系障碍(ASD)个体在递归推断他人意图方面存在核心困难。然而,确定这种谱系核心异质性的精确认知功能障碍仍不清楚。此外,社交互动障碍可能不是根本缺陷,而是不同认知过程缺陷的反映。为了更好地理解 ASD 中的异质性,我们采用了一种博弈论方法来描述社交互动中隐含的不可观察的计算过程。我们使用一种带有自闭症成人的社交狩猎游戏发现,代表他人策略复杂性的选择性困难,即推断他人的读心策略,可特异性地预测症状严重程度。相比之下,迭代规划能力的降低则可由整体智力水平预测。我们的研究结果提供了一种可揭示产生自闭症“谱系”的潜在计算功能障碍的定量方法。