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Resting state functional MRI reveals abnormal network connectivity in Neurofibromatosis 1

机译:静止状态的功能磁共振成像显示神经纤维瘤病1中的异常网络连接

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摘要

Neurofibromatosis type I (NF1) is a genetic disorder caused by mutations in the neurofibromin 1 gene at locus 17q11.2. Individuals with NF1 have an increased incidence of learning disabilities, attention deficits and autism spectrum disorders. As a single gene disorder, NF1 represents a valuable model for understanding gene-brain-behavior relationships. While mouse models have elucidated molecular and cellular mechanisms underlying learning deficits associated with this mutation, little is known about functional brain architecture in human subjects with NF1. To address this question, we used resting state functional connectivity MRI (rs-fcMRI) to elucidate the intrinsic network structure of 30 NF1 participants compared with 30 healthy demographically matched controls during an eyes-open rs-fcMRI scan. Novel statistical methods were employed to quantify differences in local connectivity (edge strength) and modularity structure, in combination with traditional global graph theory applications. Our findings suggest that individuals with NF1 have reduced anterior-posterior connectivity, weaker bilateral edges, and altered modularity clustering relative to healthy controls. Further, edge strength and modular clustering indices were correlated with IQ and internalizing symptoms. These findings suggest that Ras signaling disruption may lead to abnormal functional brain connectivity; further investigation into the functional consequences of these alterations in both humans and in animal models is warranted.
机译:I型神经纤维瘤病(NF1)是由基因17q11.2处神经纤维蛋白1基因突变引起的遗传性疾病。患有NF1的人学习障碍,注意力缺陷和自闭症谱系障碍的发生率增加。作为一种单基因疾病,NF1代表了一种了解基因-脑-行为关系的有价值的模型。尽管小鼠模型已经阐明了与这种突变相关的学习缺陷的分子和细胞机制,但对患有NF1的人类受试者的功能性大脑结构知之甚少。为了解决这个问题,我们使用静息状态功能连接性MRI(rs-fcMRI)来阐明30位NF1参与者与30位健康的人口统计学匹配对照在睁开rs-fcMRI扫描时的内在网络结构。结合传统的全局图论应用,采用了新颖的统​​计方法来量化局部连通性(边缘强度)和模块化结构上的差异。我们的发现表明,相对于健康对照组,患有NF1的个体的前-后连接性降低,双侧边缘变弱,并且模块化集群发生了变化。此外,边缘强度和模块化聚类指数与智商和内在症状相关。这些发现表明,Ras信号的破坏可能导致大脑功能异常连接。因此,有必要进一步研究这些改变对人类和动物模型的功能后果。

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