The abnormal cortices of autism spectrum disorder (ASD) brains are uncertain. However, the pathological alterations of ASD brains are distributed throughout interconnected cortical systems. Functional connections (FCs) methodology identifies cooperation and separation characteristics of information process in macroscopic cortical activity patterns under the context of network neuroscience. Embracing the graph theory concepts, this paper introduces eigenvector centrality index (EC score) ground on the FCs, and further develops a new framework for researching the dysfunctional cortex of ASD in holism significance. The important process is to uncover noticeable regions and subsystems endowed with antagonistic stance in EC-scores of 26 ASD boys and 28 matched healthy controls (HCs). For whole brain regional EC scores of ASD boys, orbitofrontal superior medial cortex, insula R, posterior cingulate gyrus L, and cerebellum 9 L are endowed with different EC scores significantly. In the brain subsystems level, EC scores of DMN, prefrontal lobe, and cerebellum are aberrant in the ASD boys. Generally, the EC scores display widespread distribution of diseased regions in ASD brains. Meanwhile, the discovered regions and subsystems, such as MPFC, AMYG, INS, prefrontal lobe, and DMN, are engaged in social processing. Meanwhile, the CBCL externalizing problem scores are associated with EC scores.

自闭症谱系障碍 (ASD) 大脑的异常皮质尚不确定。然而，ASD 大脑的病理改变分布在相互关联的皮层系统中。功能连接 (FCs) 方法识别网络神经科学背景下宏观皮层活动模式中信息过程的合作和分离特征。本文采用图论概念，引入基于 FC 的特征向量中心性指数（EC 分数），并进一步开发了一个新的框架，用于从整体意义研究 ASD 功能失调的皮层。重要的过程是在 26 名 ASD 男孩和 28 名匹配的健康对照 (HC) 的 EC 分数中发现具有对抗立场的显着区域和子系统。对于 ASD 男孩的全脑区域 EC 分数，眶额上内侧皮质、岛叶 R、后扣带回 L 和小脑 9 L 具有显着不同的 EC 评分。在大脑子系统层面，ASD 男孩的 DMN、前额叶和小脑的 EC 评分异常。通常，EC 分数显示 ASD 大脑中患病区域的广泛分布。同时，发现的区域和子系统，如 MPFC、AMYG、INS、前额叶和 DMN，都在进行社会加工。同时，CBCL 外化问题分数与 EC 分数相关。EC 分数显示 ASD 大脑中患病区域的广泛分布。同时，发现的区域和子系统，如 MPFC、AMYG、INS、前额叶和 DMN，都在进行社会加工。同时，CBCL 外化问题分数与 EC 分数相关。EC 分数显示 ASD 大脑中患病区域的广泛分布。同时，发现的区域和子系统，如 MPFC、AMYG、INS、前额叶和 DMN，都在进行社会加工。同时，CBCL 外化问题分数与 EC 分数相关。