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Network over‐connectivity differentiates autism spectrum disorder from other developmental disorders in toddlers: A diffusion MRI study

机译:网络过度连通性可将自闭症谱系障碍与其他发育障碍区分开来:扩散MRI研究

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摘要

Advanced connectivity studies in toddlers with Autism Spectrum Disorder (ASD) are increasing and consistently reporting a disruption of brain connectivity. However, most of these studies compare ASD and typically developing subjects, thus providing little information on the specificity of the abnormalities detected in comparison with other developmental disorders (other‐DD). We recruited subjects aged below 36 months who received a clinical diagnosis of Neurodevelopmental Disorder (32 ASD and 16 other‐DD including intellectual disability and language disorder) according to DSM‐IV TR. Structural and diffusion MRI were acquired to perform whole brain probabilistic and anatomically constrained tractography. Network connectivity matrices were built encoding the number of streamlines (D ) and the tract‐averaged fractional anisotropy (D ) values connecting each pair of cortical and subcortical regions. Network Based Statistics (NBS) was finally applied on the connectivity matrices to evaluate the network differences between the ASD and other‐DD groups. The network differences resulted in an over‐connectivity pattern (i.e., higher D and D values) in the ASD group with a significance of  Hum Brain Mapp 38:2333–2344, 2017. ©
机译:对患有自闭症谱系障碍(ASD)的幼儿进行的高级连通性研究正在不断增加,并不断报告脑部连通性受到破坏。但是,大多数这些研究都比较了ASD和典型的发育中的受试者,因此与其他发育障碍(other-DD)相比,所检测到异常的特异性的信息很少。根据DSM-IV TR,我们招募了年龄在36个月以下的受试者,他们接受了神经发育障碍的临床诊断(32名ASD和16名其他DD,包括智力障碍和语言障碍)。获得结构和扩散核磁共振成像以执行全脑概率和解剖学上受限的束线图。建立了网络连通性矩阵,对连接每对皮层和皮层下区域的流线数(D)和管道平均分数各向异性(D)值进行编码。最后,将基于网络的统计信息(NBS)应用于连接矩阵,以评估ASD和其他DD组之间的网络差异。网络差异导致ASD组的过度连通性模式(即更高的D和D值),具有Hum Brain Mapp 38:2333–2344,2017的意义。

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