目的:可以使用图论和多变量模式分析(MVPA)检测关节康复后大脑网络中的神经成像模式。在这项研究中,我们假设关节康复的非综合征性唇腭裂(NSCLP)儿童的脑结构网络拓扑模式特征与健康比较相似.
方法:在3TMRI扫描仪上对28名NSCLP儿童和28名具有典型发育的对照进行了扩散张量成像扫描。构建了结构网络,并获得了它们的拓扑性质。此外,采用汉语清晰程度量表(CLCDS)评分与NSCLP患者的拓扑特征进行相关性分析。
结果:NSCLP组显示出类似的富俱乐部连接模式,但是小世界指数下降了,归一化丰富俱乐部系数,与对照相比,增加了连接的连接强度。关节康复儿童的结构网络的单变量和多变量模式主要是在支线和局部连接中,覆盖感觉运动,视觉,额顶叶,默认模式,显著性,和语言网络,和眶额皮质.此外,与CLCDS得分显著相关的联系,以及用于分类的加权区域,主要分布在与非优势半球的语言网络相关的背侧和腹侧流中。
结论:主要覆盖语言网络的平均水平丰富俱乐部连接模式以及馈线和本地连接的代偿性可能与NSCLP关节康复儿童的CLCDS有关。然而,衔接康复儿童的小世界和富裕俱乐部结构组织模式表现出随机网络和非富裕俱乐部组织趋势。这些发现增强了关节康复后NSCLP儿童神经影像学模式的理解。
OBJECTIVE: The neuroimaging pattern in brain networks after articulation rehabilitation can be detected using graph theory and multivariate pattern analysis (MVPA). In this study, we hypothesized that the characteristics of the topology pattern of brain structural network in articulation-rehabilitated children with non-syndromic cleft lip and palate (NSCLP) were similar to that in healthy comparisons.
METHODS: A total of 28 children with NSCLP and 28 controls with typical development were scanned for diffusion tensor imaging on a 3T MRI scanner. Structural networks were constructed, and their topological properties were obtained. Besides, the Chinese language clear degree scale (CLCDS) scores were used for correlation analysis with topological features in patients with NSCLP.
RESULTS: The NSCLP group showed a similar rich-club connection pattern, but decreased small-world index, normalized rich-club coefficient, and increased connectivity strength of connections compared to controls. The univariate and multivariate patterns of the structural network in articulation-rehabilitated children were primarily in the feeder and local connections, covering sensorimotor, visual, frontoparietal, default mode, salience, and language networks, and orbitofrontal cortex. In addition, the connections that were significantly correlated with the CLCDS scores, as well as the weighted regions for classification, were chiefly distributed in the dorsal and ventral stream associated with the language networks of the non-dominant hemisphere.
CONCLUSIONS: The average level rich-club connection pattern and the compensatory of the feeder and local connections mainly covering language networks may be related to the CLCDS in articulation-rehabilitated children with NSCLP. However, the patterns of small-world and rich-club structural organization in the articulation-rehabilitated children exhibited a random network and non-rich-club organization tendency. These findings enhanced the understanding of neuroimaging patterns in children with NSCLP after articulation rehabilitation.