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Altered structural network architecture is predictive of the presence of psychotic symptoms in patients with 22q11.2 deletion syndrome

机译:改变的结构网络架构可以预测22q11.2缺失综合征患者的精神病症状

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22q11.2 deletion syndrome (22q11DS) represents a homogeneous model of schizophrenia particularly suitable for the search of neural biomarkers of psychosis. Impairments in structural connectivity related to the presence of psychotic symptoms have been reported in patients with 22q11DS. However, the relationships between connectivity changes in patients with different symptomatic profiles are still largely unknown and warrant further investigations. In this study, we used structural connectivity to discriminate patients with 22q11DS with ( N =31) and without ( N =31) attenuated positive psychotic symptoms. Different structural connectivity measures were used, including the number of streamlines connecting pairs of brain regions, graph theoretical measures, and diffusion measures. We used univariate group comparisons as well as predictive multivariate approaches. The univariate comparison of connectivity measures between patients with or without attenuated positive psychotic symptoms did not give significant results. However, the multivariate prediction revealed that altered structural network architecture discriminates patient subtypes (accuracy=67.7%). Among the regions contributing to the classification we found the anterior cingulate cortex, which is known to be associated to the presence of psychotic symptoms in patients with 22q11DS. Furthermore, a significant discrimination (accuracy=64%) was obtained with fractional anisotropy and radial diffusivity in the left inferior longitudinal fasciculus and the right cingulate gyrus. Our results point to alterations in structural network architecture and white matter microstructure in patients with 22q11DS with attenuated positive symptoms, mainly involving connections of the limbic system. These alterations may therefore represent a potential biomarker for an increased risk of psychosis that should be further tested in longitudinal studies. Highlights ? Altered network architecture discriminates psychotic patients with 22q11DS; ? Altered diffusivity measures are evident in psychotic patients with 22q11DS; ? White matter alterations associated to psychosis are located in limbic regions.
机译:22q11.2缺失综合征(22q11DS)代表了一种精神分裂症的同质模型,特别适合于寻找精神病的神经生物标志物。据报道22q11DS患者存在与精神病症状相关的结构连接障碍。然而,具有不同症状特征的患者的连通性变化之间的关系仍是未知之数,值得进一步研究。在这项研究中,我们使用结构连接性来区分具有(N = 31)和没有(N = 31)减轻的阳性精神病症状的22q11DS患者。使用了不同的结构连通性度量,包括连接成对的大脑区域的流线数量,图形理论度量和扩散度量。我们使用单变量组比较以及预测性多变量方法。在有或没有减轻的阳性精神病症状的患者之间进行连通性测量的单变量比较未得出明显的结果。但是,多变量预测显示,改变的结构网络体系结构可区分患者亚型(准确性= 67.7%)。在有助于分类的区域中,我们发现了前扣带回皮层,已知与22q11DS患者的精神病症状有关。此外,左下纵筋膜和右扣带回具有分数各向异性和径向扩散性,可得到显着的分辨力(准确度= 64%)。我们的研究结果表明22q11DS阳性症状减弱的患者的结构网络结构和白质微观结构发生了改变,主要涉及边缘系统的连接。因此,这些改变可能代表增加的精神病风险的潜在生物标志物,应在纵向研究中进一步测试。强调 ?更改后的网络架构可区分22q11DS的精神病患者; ?在患有22q11DS的精神病患者中,扩散系数的改变很明显。 ?与精神病相关的白质改变位于边缘区域。

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