Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.
Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.
Transl Psychiatry. 2023 Jul 27;13(1):270. doi: 10.1038/s41398-023-02559-3.
Sensory atypicalities are particularly common in autism spectrum disorders (ASD). Nevertheless, our knowledge about the divergent functioning of the underlying somatosensory region and its association with ASD phenotype features is limited. We applied a data-driven approach to map the fine-grained variations in functional connectivity of the primary somatosensory cortex (S1) to the rest of the brain in 240 autistic and 164 neurotypical individuals from the EU-AIMS LEAP dataset, aged between 7 and 30. We estimated the S1 connection topography ('connectopy') at rest and during the emotional face-matching (Hariri) task, an established measure of emotion reactivity, and accessed its association with a set of clinical and behavioral variables. We first demonstrated that the S1 connectopy is organized along a dorsoventral axis, mapping onto the S1 somatotopic organization. We then found that its spatial characteristics were linked to the individuals' adaptive functioning skills, as measured by the Vineland Adaptive Behavior Scales, across the whole sample. Higher functional differentiation characterized the S1 connectopies of individuals with higher daily life adaptive skills. Notably, we detected significant differences between rest and the Hariri task in the S1 connectopies, as well as their projection maps onto the rest of the brain suggesting a task-modulating effect on S1 due to emotion processing. All in all, variation of adaptive skills appears to be reflected in the brain's mesoscale neural circuitry, as shown by the S1 connectivity profile, which is also differentially modulated during rest and emotional processing.
感觉异常在自闭症谱系障碍(ASD)中尤为常见。然而,我们对潜在体感区域的发散功能及其与 ASD 表型特征的关联的了解有限。我们应用了一种数据驱动的方法,在来自欧盟 AIMS LEAP 数据集的 240 名自闭症患者和 164 名神经典型个体中,对初级体感皮层(S1)与大脑其余部分的功能连接的精细变化进行了映射,这些个体的年龄在 7 至 30 岁之间。我们在静息状态和情绪面孔匹配(Hariri)任务期间估计了 S1 的连接拓扑结构(“连接图”),这是一种已建立的情绪反应测量方法,并研究了其与一系列临床和行为变量的关联。我们首先证明 S1 连接图沿着背腹轴组织,映射到 S1 的体感组织上。然后,我们发现其空间特征与个体的适应功能技能有关,这些技能由 Vineland 适应行为量表在整个样本中进行测量。较高的功能分化特征化了具有更高日常生活适应技能的个体的 S1 连接图。值得注意的是,我们在 S1 连接图中检测到静息状态和 Hariri 任务之间以及它们投射到大脑其余部分的投影图之间存在显著差异,这表明由于情绪处理,S1 存在任务调节效应。总之,适应技能的变化似乎反映在大脑的中尺度神经回路中,如 S1 连接谱所示,它在静息和情绪处理期间也存在差异调节。