Currently,functional connectomes constructed from neuroimaging data have emerged as a powerful tool in identifying brain disorders.If one brain disease just manifests as some cognitive dysfunction,it means that the di...Currently,functional connectomes constructed from neuroimaging data have emerged as a powerful tool in identifying brain disorders.If one brain disease just manifests as some cognitive dysfunction,it means that the disease may affect some local connectivity in the brain functional network.That is,there are functional abnormalities in the sub-network.Therefore,it is crucial to accurately identify them in pathological diagnosis.To solve these problems,we proposed a sub-network extraction method based on graph regularization nonnegative matrix factorization(GNMF).The dynamic functional networks of normal subjects and early mild cognitive impairment(eMCI)subjects were vectorized and the functional connection vectors(FCV)were assembled to aggregation matrices.Then GNMF was applied to factorize the aggregation matrix to get the base matrix,in which the column vectors were restored to a common sub-network and a distinctive sub-network,and visualization and statistical analysis were conducted on the two sub-networks,respectively.Experimental results demonstrated that,compared with other matrix factorization methods,the proposed method can more obviously reflect the similarity between the common subnetwork of eMCI subjects and normal subjects,as well as the difference between the distinctive sub-network of eMCI subjects and normal subjects,Therefore,the high-dimensional features in brain functional networks can be best represented locally in the lowdimensional space,which provides a new idea for studying brain functional connectomes.展开更多
数字微波传输路由是无线发射台站重要信号传输通道之一,是光缆路由故障情况下保障无线发射台站信号安全的重要手段。以无线发射台站现有光缆路由和微波路由构建同步数字体系(Synchronous Digital Hierarchy,SDH)环网,基于子网连接保护(S...数字微波传输路由是无线发射台站重要信号传输通道之一,是光缆路由故障情况下保障无线发射台站信号安全的重要手段。以无线发射台站现有光缆路由和微波路由构建同步数字体系(Synchronous Digital Hierarchy,SDH)环网,基于子网连接保护(Sub-Network Connection Protection,SNCP)监测实现双路由自动切换系统,确保无线发射台站广播电视节目和监控信号不间断传输,为台站安全播出提供传输保障,进一步提升台站安全播出保障能力,推动广播电视高质量发展。展开更多
基金supported by the National Natural Science Foundation of China(No.51877013),(ZJ),(http://www.nsfc.gov.cn/)the Natural Science Foundation of Jiangsu Province(No.BK20181463),(ZJ),(http://kxjst.jiangsu.gov.cn/)sponsored by Qing Lan Project of Jiangsu Province(no specific grant number),(ZJ),(http://jyt.jiangsu.gov.cn/).
文摘Currently,functional connectomes constructed from neuroimaging data have emerged as a powerful tool in identifying brain disorders.If one brain disease just manifests as some cognitive dysfunction,it means that the disease may affect some local connectivity in the brain functional network.That is,there are functional abnormalities in the sub-network.Therefore,it is crucial to accurately identify them in pathological diagnosis.To solve these problems,we proposed a sub-network extraction method based on graph regularization nonnegative matrix factorization(GNMF).The dynamic functional networks of normal subjects and early mild cognitive impairment(eMCI)subjects were vectorized and the functional connection vectors(FCV)were assembled to aggregation matrices.Then GNMF was applied to factorize the aggregation matrix to get the base matrix,in which the column vectors were restored to a common sub-network and a distinctive sub-network,and visualization and statistical analysis were conducted on the two sub-networks,respectively.Experimental results demonstrated that,compared with other matrix factorization methods,the proposed method can more obviously reflect the similarity between the common subnetwork of eMCI subjects and normal subjects,as well as the difference between the distinctive sub-network of eMCI subjects and normal subjects,Therefore,the high-dimensional features in brain functional networks can be best represented locally in the lowdimensional space,which provides a new idea for studying brain functional connectomes.
文摘数字微波传输路由是无线发射台站重要信号传输通道之一,是光缆路由故障情况下保障无线发射台站信号安全的重要手段。以无线发射台站现有光缆路由和微波路由构建同步数字体系(Synchronous Digital Hierarchy,SDH)环网,基于子网连接保护(Sub-Network Connection Protection,SNCP)监测实现双路由自动切换系统,确保无线发射台站广播电视节目和监控信号不间断传输,为台站安全播出提供传输保障,进一步提升台站安全播出保障能力,推动广播电视高质量发展。
