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中文摘要：
为了提高静息态功能脑网络可信度,引用基于随机分块模型的网络重构方法对脑网络进行重构。通过网络指标的分析,验证该方法在脑网络中的适用性,找到网络中的虚假边;采用网络最大联通子集的方法来分析虚假边对网络连通性的影响。实验结果表明,该方法可用于脑网络的重构,通过重构可以找到影响脑网络连通性的虚假边,提高了连通性的可信度。
英文摘要：
In order to improve the reliability of functional brain network in resting state,a method based on stochastic block model is introduced to reconstruct functional brain network in resting state.Network indexes are analyzed to verify whether the method is suitable for use in brain network.Spurious interactions of brain network are found,and the method of the biggest linking subset of brain network is used on analyze the influence of spurious interactions on network connectivity.The experimental results show that the method of construction can be used in functional brain network in resting state,and the reconstructed network improves the reliability of functional brain network in resting state.With the reconstruction spurious interactions influencing functional brain network can be found,and the removal of these spurious interactions can improve the reliability of network connectivity.
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