Cyclotron Research Centre, University of Liège Liège, Belgium ; Department of Psychiatry, Autism Research Centre, University of Cambridge Cambridge, UK.
Department of Psychiatry, Autism Research Centre, University of Cambridge Cambridge, UK.
Front Comput Neurosci. 2014 Jun 6;8:60. doi: 10.3389/fncom.2014.00060. eCollection 2014.
The existence of an endophenotype of autism spectrum condition (ASC) has been recently suggested by several commentators. It can be estimated by finding differences between controls and people with ASC that are also present when comparing controls and the unaffected siblings of ASC individuals. In this work, we used a multivariate methodology applied on magnetic resonance images to look for such differences. The proposed procedure consists of combining a searchlight approach and a support vector machine classifier to identify the differences between three groups of participants in pairwise comparisons: controls, people with ASC and their unaffected siblings. Then we compared those differences selecting spatially collocated as candidate endophenotypes of ASC.
近年来，一些评论家提出了自闭症谱系障碍（ASC）的内表型存在的观点。通过在比较对照组和 ASC 个体未受影响的兄弟姐妹时，找到对照组和 ASC 人群之间存在的差异，就可以估计出这种内表型。在这项工作中，我们使用了一种多变量方法，应用于磁共振图像，以寻找这种差异。所提出的方法包括结合搜索灯方法和支持向量机分类器，以识别三组参与者在两两比较中的差异：对照组、患有 ASC 的人及其未受影响的兄弟姐妹。然后，我们通过选择空间上相互关联的作为 ASC 的候选内表型，来比较这些差异。
