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Partially impaired functional connectivity states between right anterior insula and default mode network in autism spectrum disorder

机译:在自闭症频谱障碍中右前线inslula和默认模式网络之间部分受损的功能连接状态

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Time-invariant resting-state functional connectivity studies have illuminated the crucial role of the right anterior insula (rAI) in prominent social impairments of autism spectrum disorder (ASD). However, a recent dynamic connectivity study demonstrated that rather than being stationary, functional connectivity patterns of the rAI vary significantly across time. The present study aimed to explore the differences in functional connectivity in dynamic states of the rAI between individuals with ASD and typically developing controls (TD). Resting-state functional magnetic resonance imaging data obtained from a publicly available database were analyzed in 209 individuals with ASD and 298 demographically matched controls. A k-means clustering algorithm was utilized to obtain five dynamic states of functional connectivity of the rAI. The temporal properties, frequency properties, and meta-analytic decoding were first identified in TD group to obtain the characteristics of each rAI dynamic state. Multivariate analysis of variance was then performed to compare the functional connectivity patterns of the rAI between ASD and TD groups in obtained states. Significantly impaired connectivity was observed in ASD in the ventral medial prefrontal cortex and posterior cingulate cortex, which are two critical hubs of the default mode network (DMN). States in which ASD showed decreased connectivity between the rAI and these regions were those more relevant to socio-cognitive processing. From a dynamic perspective, these findings demonstrate partially impaired resting-state functional connectivity patterns between the rAI and DMN across states in ASD, and provide novel insights into the neural mechanisms underlying social impairments in individuals with ASD.
机译:时间不变的休息状态功能连接性研究已经照亮了右侧Instula(RAI)在自闭症谱系(ASD)突出的社会损伤中的关键作用。然而,最近的动态连接研究证明,而不是静止的,rai的静止功能连通性模式越差显着变化。本研究旨在探讨具有ASD和通常开发控制(TD)的个体之间rai动态状态的功能连通性的差异。从公共可用数据库获得的休息状态函数磁共振成像数据在209个具有ASD和298人口统计学匹配的控件中分析了209个个体。利用K-means聚类算法来获得RAI功能连通性的五种动态状态。首先在TD组中识别时间特性,频率特性和元分析解码,以获得每个RAI动态状态的特征。然后进行多元差异分析,以比较所获得的状态中ASD和TD组之间的RAI的功能连通性模式。在腹侧前额叶皮层和后刺皮层中,在ASD中观察到显着减损的连接性,这是默认模式网络(DMN)的两个关键中心。其中ASD在RAI和这些地区之间的连接减少了与社会认知处理更相关的国家。从动态角度来看,这些发现在ASD的州横跨州的RAI和DMN之间展示了部分受损的休息状态功能连接模式,并为亚本大学个人社会障碍的神经机制提供了新的洞察。

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