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Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism

机译:静止状态时变分析揭示了自闭症中功能连接的异常变化

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摘要

Recently, studies based on time-varying functional connectivity have unveiled brain states diversity in some neuropsychiatric disorders, such as schizophrenia and major depressive disorder. However, time-varying functional connectivity analysis of resting-state functional Magnetic Resonance Imaging (fMRI) have been rarely performed on the Autism Spectrum Disorder (ASD). Hence, we performed time-varying connectivity analysis on resting-state fMRI data to investigate brain states mutation in ASD children. ASD showed an imbalance of connectivity state and aberrant ratio of connectivity with different strengths in the whole brain network, and decreased connectivity associated precuneus/posterior cingulate gyrus with medial prefrontal gyrus in default mode network. As compared to typical development children, weak relevance condition (the strength of a large number of connectivities in the state was less than means minus standard deviation of all connection strength) was maintained for a longer time between brain areas of ASD children, and ratios of weak connectivity in brain states varied dramatically in the ASD. In the ASD, the abnormal brain state might be related to repetitive behaviors and stereotypical interests, and macroscopically reflect disruption of gamma-aminobutyric acid at the cellular level. The detection of brain states based on time-varying functional connectivity analysis of resting-state fMRI might be conducive for diagnosis and early intervention of ASD before obvious clinical symptoms.
机译:最近,基于时变功能连通性的研究揭示了某些神经精神疾病(例如精神分裂症和重度抑郁症)的大脑状态多样性。但是,很少对自闭症谱系障碍(ASD)进行时态功能磁共振成像(fMRI)的时变功能连接分析。因此,我们对静止状态fMRI数据进行了时变连通性分析,以调查ASD儿童的脑状态突变。在默认模式网络中,ASD显示出连接状态的不平衡和具有不同强度的连接率的异常比率,并且在先天神经网络中,与前额突/后扣带回和内侧前额回相关的连接性降低。与典型的发育儿童相比,ASD儿童的大脑区域之间的关联时间较弱(状态中大量连接的强度小于平均值减去所有连接强度的标准偏差),维持了较长的时间。在ASD中,大脑状态的弱连通性差异很大。在ASD中,异常的大脑状态可能与重复的行为和刻板印象有关,并且从宏观上反映了在细胞水平上γ-氨基丁酸的破坏。基于静息功能磁共振成像的时变功能连通性分析的脑状态检测可能有助于在出现明显临床症状之前对ASD进行诊断和早期干预。

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