Ypma Rolf J F, Moseley Rachel L, Holt Rosemary J, Rughooputh Naresh, Floris Dorothea L, Chura Lindsay R, Spencer Michael D, Baron-Cohen Simon, Suckling John, Bullmore Edward T, Rubinov Mikail
Brain Mapping Unit, Department of Psychiatry; Hughes Hall.
Brain Mapping Unit, Department of Psychiatry; Bournemouth University, Dorset.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2016 Jul;1(4):364-371. doi: 10.1016/j.bpsc.2016.04.006.
Females and males differ significantly in the prevalence and presentation of autism spectrum conditions. One theory of this effect postulates that autistic traits lie on a sex-related continuum in the general population, and autism represents the extreme male end of this spectrum. This theory predicts that any feature of autism in males should 1) be present in autistic females, 2) differentiate between the sexes in the typical population, and 3) correlate with autistic traits. We tested these three predictions for default mode network (DMN) hypoconnectivity during the resting state, one of the most robustly found neurobiological differences in autism.
We analyzed a primary dataset of adolescents ( = 121, 12-18 years of age) containing a relatively large number of females and a replication multisite dataset including children, adolescents, and adults ( = 980, 6-58 years of age). We quantified the average connectivity between DMN regions and tested for group differences and correlation with behavioral performance using robust regression.
We found significant differences in DMN intraconnectivity between female controls and females with autism ( .001 in the primary dataset; .009 in the replication dataset), and between female controls and male controls ( .036 in the primary dataset; .002 in the replication dataset). We also found a significant correlation between DMN intraconnectivity and performance on a mentalizing task ( .001) in the primary dataset.
Collectively, these findings provide the first evidence for DMN hypoconnectivity as a behaviorally relevant neuroimaging phenotype of the sex-related spectrum of autistic traits, of which autism represents the extreme case.
自闭症谱系障碍的患病率和表现形式在女性和男性之间存在显著差异。关于这种现象的一种理论假设,在普通人群中,自闭症特征处于与性别相关的连续谱上,而自闭症代表了该谱系中男性化的极端情况。该理论预测,男性自闭症的任何特征应该:1)在自闭症女性中也存在;2)在正常人群中存在性别差异;3)与自闭症特征相关。我们针对静息状态下默认模式网络(DMN)连接不足这一在自闭症中最确凿的神经生物学差异之一,对这三个预测进行了检验。
我们分析了一个青少年主要数据集(n = 121,年龄在12 - 18岁),其中包含相对较多的女性样本,以及一个多站点重复数据集,包括儿童、青少年和成年人(n = 980,年龄在6 - 58岁)。我们量化了DMN区域之间的平均连接性,并使用稳健回归检验组间差异以及与行为表现的相关性。
我们发现女性对照组与自闭症女性之间在DMN内部连接性上存在显著差异(主要数据集中p <.001;重复数据集中p <.009),以及女性对照组与男性对照组之间也存在显著差异(主要数据集中p =.036;重复数据集中p <.002)。我们还在主要数据集中发现DMN内部连接性与心理理论任务表现之间存在显著相关性(p <.001)。
总体而言,这些发现首次证明了DMN连接不足是自闭症特征性别相关谱系中一种与行为相关的神经影像表型,而自闭症是其中的极端情况。