The number of common neighbor between nodes is applied to the modeling of resting-state brain function network in order to analyze the effect of anatomical distance on the modeling of resting-state brain function netw...The number of common neighbor between nodes is applied to the modeling of resting-state brain function network in order to analyze the effect of anatomical distance on the modeling of resting-state brain function network. Three models based on anatomical distance, the number of common neighbor, or anatomical distance and the number of common neighbor are designed. Basing on residuals creates the evaluation criteria for selecting the optimal brain function model network in each class model. The model is selected to simulate the human real brain function network by comparison with real data functional magnetic resonance imaging(f MRI)network. Finally, the result shows that the best model only is based on anatomical distance.展开更多
文摘目的探讨脑电功率谱密度(power spectral density,PSD)及功能连接分析对不同程度新生儿缺氧缺血性脑病(hypoxic-ischemic encephalopathy,HIE)早期大脑皮层功能的评估作用。方法选择2016年1月至2019年3月南通大学附属常州儿童医院新生儿科收治的轻、中度HIE患儿进行前瞻性研究,选择同期收治的无脑损伤足月儿为对照组。3组患儿生后72~96 h采集脑电图(electroencephalogram,EEG),分析4个频段(delta、theta、alpha、beta)各通道平均PSD谱密度及全脑PSD,于8个频段(delta、theta、alpha1、alpha2、beta1、beta2、beta3、beta4)使用孤立有效相关(the imaginary part of coherency,ICOH)进行功能连接分析,将PSD和ICOH值在3组间进行比较。结果共纳入轻度HIE组20例、中度HIE组15例及对照组30例。PSD分析显示,中度HIE组theta、alpha、beta频段在FP1、FP2、C3、C4、Fz、Cz、Pz、F3、P4通道较轻度组和对照组显著降低(P<0.05),而delta频段在以上各通道未见类似改变(P>0.05);轻度HIE组仅在P4通道theta频段、Cz通道alpha频段低于对照组(P<0.05);中度HIE组全脑平均PSD在各频段均较对照组显著降低(P<0.05);轻度HIE组全脑平均PSD与对照组比较差异无统计学意义(P>0.05)。ICOH分析显示,中度HIE组脑功能连接低于对照组,主要集中在delta频段;与轻度HIE组比较,中度HIE组功能连接在delta、theta、alpha1及alpha2频段明显减低;而轻度HIE组与对照组比较,仅在delta、alpha1频段有较少的ICOH差异。结论新生儿delta、theta、alpha频段PSD及ICOH可以定量分析HIE患儿脑功能状态,中度HIE患儿早期出现明显的皮层功能落后。
基金the National Natural Science Foundation of China(Nos.6117013661373101+3 种基金61472270 and61402318)the Natural Science Foundation of Shanxi(No.2014021022-5)the Special/Youth Foundation of Taiyuan University of Technology(No.2012L014)the Youth Team Fund of Taiyuan University of Technology(Nos.2013T047 and 2013T048)
文摘The number of common neighbor between nodes is applied to the modeling of resting-state brain function network in order to analyze the effect of anatomical distance on the modeling of resting-state brain function network. Three models based on anatomical distance, the number of common neighbor, or anatomical distance and the number of common neighbor are designed. Basing on residuals creates the evaluation criteria for selecting the optimal brain function model network in each class model. The model is selected to simulate the human real brain function network by comparison with real data functional magnetic resonance imaging(f MRI)network. Finally, the result shows that the best model only is based on anatomical distance.
