Research on Modeling Approach of Brain Function Network Based on Anatomical Distance

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.

基于解剖距离的功能脑网络建模方法研究

为了分析解剖距离对静息态功能脑网络建模的影响,在解剖距离的基础上将节点共同邻居引入到功能脑网络的建模中。设计三个模型,分别是基于解剖距离,节点共同邻居个数和解剖距离与节点共同邻居个数。借鉴残差的方法创建最优静息态功能模型网络评价标准。在每种模型网络中选出最优的模型网络。然后将每种模型中的最优网络与真实数据fMRI网络对比选出能够最大程度模拟真实网络的模型网络。结果证明在AAL模板下单独基于解剖距离建立的功能脑网络能最大化的模拟真实的网络。