Baron-Cohen Simon, Bowen Daniel C, Holt Rosemary J, Allison Carrie, Auyeung Bonnie, Lombardo Michael V, Smith Paula, Lai Meng-Chuan
Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; CLASS Clinic, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.
Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
PLoS One. 2015 Aug 27;10(8):e0136521. doi: 10.1371/journal.pone.0136521. eCollection 2015.
The "Reading the Mind in the Eyes" test (Eyes test) is an advanced test of theory of mind. Typical sex difference has been reported (i.e., female advantage). Individuals with autism show more difficulty than do typically developing individuals, yet it remains unclear how this is modulated by sex, as females with autism have been under-represented. Here in a large, non-male-biased sample we test for the effects of sex, diagnosis, and their interaction. The Eyes test (revised version) was administered online to 395 adults with autism (178 males, 217 females) and 320 control adults (152 males, 168 females). Two-way ANOVA showed a significant sex-by-diagnosis interaction in total correct score (F(1,711) = 5.090, p = 0.024, ηp2 = 0.007) arising from a significant sex difference between control males and females (p < 0.001, Cohen's d = 0.47), and an absence of a sex difference between males and females with autism (p = 0.907, d = 0.01); significant case-control differences were observed across sexes, with effect sizes of d = 0.35 in males and d = 0.69 in females. Group-difference patterns fit with the extreme-male-brain (EMB) theory predictions. Eyes test-Empathy Quotient and Eyes test-Autism Spectrum Quotient correlations were significant only in females with autism (r = 0.35, r = -0.32, respectively), but not in the other 3 groups. Support vector machine (SVM) classification based on response pattern across all 36 items classified autism diagnosis with a relatively higher accuracy for females (72.2%) than males (65.8%). Nevertheless, an SVM model trained within one sex generalized equally well when applied to the other sex. Performance on the Eyes test is a sex-independent phenotypic characteristic of adults with autism, reflecting sex-common social difficulties, and provides support for the EMB theory predictions for both males and females. Performance of females with autism differed from same-sex controls more than did that of males with autism. Females with autism also showed stronger coherence between self-reported dispositional traits and Eyes test performance than all other groups.
“从眼睛读懂心思”测试(眼睛测试)是一种高级心理理论测试。已有报道称存在典型的性别差异(即女性优势)。与正常发育个体相比,自闭症个体在该测试中表现出更多困难,但由于自闭症女性样本数量不足,目前尚不清楚性别如何对此产生调节作用。在本研究中,我们采用一个无男性偏向的大样本,来测试性别、诊断及其交互作用的影响。我们通过网络对395名自闭症成年人(178名男性,217名女性)和320名对照成年人(152名男性,168名女性)进行了眼睛测试(修订版)。双向方差分析显示,在总正确得分上存在显著的性别与诊断交互作用(F(1,711) = 5.090, p = 0.024, ηp2 = 0.007),这一结果源于对照男性和女性之间存在显著的性别差异(p < 0.001, 科恩d值 = 0.47),而自闭症男性和女性之间不存在性别差异(p = 0.907, d = 0.01);在不同性别中均观察到显著的病例对照差异,男性的效应量d = 0.35,女性的效应量d = 0.69。组间差异模式符合极端男性大脑(EMB)理论预测。眼睛测试-共情商数和眼睛测试-自闭症谱系商数的相关性仅在自闭症女性中显著(分别为r = 0.35,r = -0.32),在其他三组中不显著。基于所有36个项目的反应模式进行的支持向量机(SVM)分类,对自闭症诊断的分类准确率在女性中(72.2%)相对高于男性(65.8%)。然而,在某一性别中训练的SVM模型应用于另一性别时,泛化效果同样良好。眼睛测试的表现是自闭症成年人与性别无关的表型特征,反映了性别共有的社交困难,并为EMB理论对男性和女性的预测提供了支持。自闭症女性的表现与同性对照的差异比自闭症男性更大。自闭症女性在自我报告的性格特征和眼睛测试表现之间也比所有其他组表现出更强的一致性。