Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Institute of Cognitive Neuroscience, University College London, London, United Kingdom.
Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Biol Psychiatry. 2014 Feb 1;75(3):223-30. doi: 10.1016/j.biopsych.2013.06.018. Epub 2013 Aug 15.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social and communication deficits. While such deficits have been the focus of most research, recent evidence suggests that individuals with ASD may exhibit cognitive strengths in domains such as mathematics.
Cognitive assessments and functional brain imaging were used to investigate mathematical abilities in 18 children with ASD and 18 age-, gender-, and IQ-matched typically developing (TD) children. Multivariate classification and regression analyses were used to investigate whether brain activity patterns during numerical problem solving were significantly different between the groups and predictive of individual mathematical abilities.
Children with ASD showed better numerical problem solving abilities and relied on sophisticated decomposition strategies for single-digit addition problems more frequently than TD peers. Although children with ASD engaged similar brain areas as TD children, they showed different multivariate activation patterns related to arithmetic problem complexity in ventral temporal-occipital cortex, posterior parietal cortex, and medial temporal lobe. Furthermore, multivariate activation patterns in ventral temporal-occipital cortical areas typically associated with face processing predicted individual numerical problem solving abilities in children with ASD but not in TD children.
Our study suggests that superior mathematical information processing in children with ASD is characterized by a unique pattern of brain organization and that cortical regions typically involved in perceptual expertise may be utilized in novel ways in ASD. Our findings of enhanced cognitive and neural resources for mathematics have critical implications for educational, professional, and social outcomes for individuals with this lifelong disorder.
自闭症谱系障碍(ASD)是一种神经发育障碍,其特征是社交和沟通缺陷。尽管这些缺陷一直是大多数研究的重点,但最近的证据表明,自闭症患者在数学等领域可能表现出认知优势。
使用认知评估和功能脑成像来研究 18 名自闭症儿童和 18 名年龄、性别和智商匹配的典型发育(TD)儿童的数学能力。多元分类和回归分析用于研究在解决数值问题时大脑活动模式在两组之间是否存在显著差异,并预测个体的数学能力。
自闭症儿童表现出更好的数值问题解决能力,并且比 TD 同龄人更频繁地使用复杂的分解策略来解决一位数加法问题。尽管自闭症儿童与 TD 儿童使用相似的大脑区域,但他们在腹侧颞叶-枕叶、后顶叶和内侧颞叶中表现出与算术问题复杂性相关的不同多元激活模式。此外,与面孔处理相关的腹侧颞叶-枕叶皮质区域的多元激活模式可预测自闭症儿童的个体数值问题解决能力,但不能预测 TD 儿童的能力。
我们的研究表明,自闭症儿童在数学方面的优越信息处理能力具有独特的大脑组织模式,并且通常参与知觉专长的皮质区域可能以新颖的方式在 ASD 中被利用。我们发现的对数学的认知和神经资源增强对具有这种终身障碍的个体的教育、职业和社会结果具有重要意义。