Wilson C Ellie, Happé Francesca, Wheelwright Sally J, Ecker Christine, Lombardo Michael V, Johnston Patrick, Daly Eileen, Murphy Clodagh M, Spain Debbie, Lai Meng-Chuan, Chakrabarti Bhismadev, Sauter Disa A, Baron-Cohen Simon, Murphy Declan G M
Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, King's College London, London, United Kingdom.
Autism Res. 2014 Oct;7(5):568-81. doi: 10.1002/aur.1394. Epub 2014 Jun 5.
Autism Spectrum Disorder (ASD) is diagnosed on the basis of behavioral symptoms, but cognitive abilities may also be useful in characterizing individuals with ASD. One hundred seventy-eight high-functioning male adults, half with ASD and half without, completed tasks assessing IQ, a broad range of cognitive skills, and autistic and comorbid symptomatology. The aims of the study were, first, to determine whether significant differences existed between cases and controls on cognitive tasks, and whether cognitive profiles, derived using a multivariate classification method with data from multiple cognitive tasks, could distinguish between the two groups. Second, to establish whether cognitive skill level was correlated with degree of autistic symptom severity, and third, whether cognitive skill level was correlated with degree of comorbid psychopathology. Fourth, cognitive characteristics of individuals with Asperger Syndrome (AS) and high-functioning autism (HFA) were compared. After controlling for IQ, ASD and control groups scored significantly differently on tasks of social cognition, motor performance, and executive function (P's < 0.05). To investigate cognitive profiles, 12 variables were entered into a support vector machine (SVM), which achieved good classification accuracy (81%) at a level significantly better than chance (P < 0.0001). After correcting for multiple correlations, there were no significant associations between cognitive performance and severity of either autistic or comorbid symptomatology. There were no significant differences between AS and HFA groups on the cognitive tasks. Cognitive classification models could be a useful aid to the diagnostic process when used in conjunction with other data sources-including clinical history.
自闭症谱系障碍(ASD)是根据行为症状进行诊断的,但认知能力对于描述ASD患者的特征也可能有用。178名高功能成年男性,其中一半患有ASD,一半没有,完成了评估智商、广泛认知技能以及自闭症和共病症状的任务。该研究的目的,首先是确定病例组和对照组在认知任务上是否存在显著差异,以及使用多变量分类方法从多个认知任务数据中得出的认知概况是否能够区分这两组。其次,确定认知技能水平是否与自闭症症状严重程度相关,第三,认知技能水平是否与共病精神病理学程度相关。第四,比较阿斯伯格综合征(AS)和高功能自闭症(HFA)患者的认知特征。在控制智商后,ASD组和对照组在社会认知、运动表现和执行功能任务上的得分存在显著差异(P值<0.05)。为了研究认知概况,将12个变量输入支持向量机(SVM),其在显著高于随机水平(P<0.0001)的情况下实现了良好的分类准确率(81%)。在对多重相关性进行校正后,认知表现与自闭症或共病症状的严重程度之间没有显著关联。AS组和HFA组在认知任务上没有显著差异。当与其他数据源(包括临床病史)结合使用时,认知分类模型可能对诊断过程有帮助。