BOLD signal variability and complexity in children and adolescents with and without autism spectrum disorder
BOLD signal variability and complexity in children and adolescents with and without autism spectrum disorder
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DOI：
10.1016/j.dcn.2019.100630
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发表时间：
2019-04-01
影响因子：
4.7
通讯作者：
McIntos, Anthony R.
中科院分区：
文献类型：
--
作者：
Easson, Amanda K.;McIntos, Anthony R.
神经信号的可变性是健康大脑功能的重要指标，信号复杂性也是如此，它与信息处理能力有关。变异性和复杂性的改变可能是某些大脑功能障碍的基础。在这里，静息态功能磁共振成像被用来检查儿童和青少年与自闭症谱系障碍（ASD）的变异性和复杂性。使用时间序列的均方连续差（MSSD）测量变异性，使用样本熵评估复杂性。实施分类方法以确定诊断组（ASD和对照组）之间的大脑测量是否不同。一个维度的方法被用来检查每个大脑测量和行为的严重程度，年龄，智商，和全球效率（GE）的每个参与者的结构连接体，这反映了信息处理的结构能力之间的关系的连续体。使用分类方法，没有显着的组间差异，既没有MSSD也没有熵。维度的方法揭示了显着的正相关关系，每个大脑的措施，GE，和年龄。在所有参与者中，每个大脑测量值与ASD行为的严重程度之间都存在负相关。这些结果揭示了患有和不患有ASD的儿童和青少年中BOLD信号的可变性和复杂性的本质。
Variability of neural signaling is an important index of healthy brain functioning, as is signal complexity, which relates to information processing capacity. Alterations in variability and complexity may underlie certain brain dysfunctions. Here, resting-state fMRI was used to examine variability and complexity in children and adolescents with and without autism spectrum disorder (ASD). Variability was measured using the mean square successive difference (MSSD) of the time series, and complexity was assessed using sample entropy. A categorical approach was implemented to determine if the brain measures differed between diagnostic groups (ASD and controls). A dimensional approach was used to examine the continuum of relationships between each brain measure and behavioral severity, age, IQ, and the global efficiency (GE) of each participant's structural connectome, which reflects the structural capacity for information processing. Using the categorical approach, no significant group differences were found for neither MSSD nor entropy. The dimensional approach revealed significant positive correlations between each brain measure, GE, and age. Negative correlations were observed between each brain measure and the severity of ASD behaviors across all participants. These results reveal the nature of variability and complexity of BOLD signals in children and adolescents with and without ASD.