Differentiation of Speech Delay and Global Developmental Delay in Children Using DTI Tractography-Based Connectome.
Differentiation of Speech Delay and Global Developmental Delay in Children Using DTI Tractography-Based Connectome.
复制标题
DOI：
10.3174/ajnr.a4662
复制
发表时间：
2016-06
期刊：
影响因子：
--
通讯作者：
Chugani HT
中科院分区：
文献类型：
--
作者：
Jeong JW;Sundaram S;Behen ME;Chugani HT
纯言语发育迟缓 (SD) 是一种常见的发育障碍，据估计，影响 5-8% 的人口。 SD 可能不仅是一种孤立的病症，而且可能是更广泛病症的一部分，例如整体发育迟缓 (GD)。本研究探讨基于连接组的扩散张量成像 (DTI) 纤维束成像是否可以区分幼儿的 GD 和 SD。 12 名纯 SD 儿童（年龄：39.1±20.9 个月，9 名男孩）、14 名 GD 儿童（年龄：39.3±18.2 个月，12 名男孩）和 10 名典型发育儿童（TD，年龄：38.5±20.5 个月，7 名男孩）接受了 3T DTI。对于每个受试者，使用 116 个感兴趣的皮质区域进行全脑连接组分析。在各个区域测量以下网络指标：强度（最短路径的数量）、效率（全局和本地集成的度量）、集群系数（本地聚合的度量）和介数（中心性的度量）。与 TD 相比，GD 和 SD 的全局和局部效率均显着降低 (p<0.0001)。 GD 中认知网络的节点强度显着降低，而 SD 中语言网络的节点强度显着降低，这使得区分 GD 和 SD 的准确率高达 > 83±4 %。本研究中发现的网络异常可能是 GD 和 SD 儿童中常见的神经认知和行为后果的基础。需要在更大的样本中进行进一步的验证研究。
Pure speech delay (SD) is a common developmental disorder which, according to some estimates, affects 5–8 % of the population. SD may be not only an isolated condition but can be part of a broader condition such as global developmental delay (GD). The present study investigates whether diffusion tensor imaging (DTI) tractography based-connectome can differentiate GD from SD in young children. 12 children with pure SD (age: 39.1±20.9, 9 boys), 14 children with GD (age: 39.3±18.2 months, 12 boys) and 10 children with typical development (TD, age: 38.5±20.5 months, 7 boys) underwent a 3T DTI. For each subject, whole brain connectome analysis was performed using 116 cortical regions of interest. The following network metrics were measured at individual region: strength (number of the shortest paths), efficiency (measures of global and local integration), cluster coefficient (measure of local aggregation), and betweeness (measure of centrality). Compared with TD, global and local efficiency were significantly reduced in both GD and SD (p<0.0001). The nodal strength of cognitive network is significantly reduced in GD whereas the nodal strength of language network is significantly reduced in SD, which resulted in high accuracy of > 83±4 % to discriminate GD from SD. The network abnormalities identified in the present study may underlie the neurocognitive and behavioral consequences commonly identified in children with GD and SD. Further validation studies in larger samples are required.