基于脑功能网络分析的孤独症儿童辅助干预效果研究

脑功能网络是分析复杂网络之间连接关系的一种有效方法, 对脑功能障碍分析具有重要意义. 本文基于频域Granger因果分析的定向传递函数(Direction-transfer function, DTF), 构建了各频段的脑功能网络. 采用图论方法分析最佳阈值下经颅直流电刺激(Transcranial direct current stimulation, tDCS)干预前后孤独症(Autism spectrum disorder, ASD)儿童脑网络的平均度、全局效率和平均局部效率等特征, 并对比了经颅直流电刺激对孤独症儿童脑功能状态辅助干预效果. 结果发现刺激前组在各频段的图论特征均低于刺激后组($P<0.05$), 其中Theta频段和低-beta频段的局部效率统计性差异显著, 表明在一定程度上tDCS干预是ASD儿童治疗的有效手段.

Study on the Effect of Autistic Children's Auxiliary Intervention Based on Brain Functional Network Analysis

The brain functional network is an effective method to analyze the connection relationship between complex networks, which is of great significance to the analysis of brain dysfunction. In this paper, the brain function network of each frequency band is constructed based on the direction-transfer function (DTF), of frequency domain Granger causality analysis. Graph theory method was used to analyze the network average degree, global efficiency and average local efficiency of brain network of autism spectrum disorder (ASD) children in two groups pre-/post-transcranial direct current stimulation (tDCS) under the optimal threshold values, and compare the auxiliary intervention effect of tDCS on brain function status in ASD children. The results showed that the graph theory characteristics of the pre-tDCS group were lower than those of the post-tDCS group in each frequency band ($P<0.05$), and there were significant statistical differences in local efficiency in Theta and Low-beta bands. It is suggested that tDCS intervention is an effective method for the treatment of ASD children to a certain extent.