A Novel Framework to Seek Functional Connectivity

摘要：

　　In this paper,ICA (independent component analysis) is introduced in order to construct a feature space from the resting-state fMRrs data.The projection from the data space into the feature space reveals the regional clustering of function,and the subset of the space reveals the correlation across functionally related brain regions.We introduce SOM (self-organizing map) to assess regional functional connectivity as well as GA (genetic algorithm) to extract a feature subset,in which regional connectivity across functionally related brain regions can be assessed.The results of our framework demonstrate that the brain function is regionally clustered.

关键词： functional magnetic resonance imaging resting-state fMRI independent component analysis genetic algorithm self-organizing map

作者: Songshi Dai Shanan Zhu

作者单位: College of Electrical Engineering,Zhejiang University,HZ,China

会议类型: 国内会议

会议名称: 长江2011国际医学影像物理和工程应用大会暨第六届中国医学影像物理学术年会

会议地点: 杭州

会议语种:英文

页码: 206-212

在线出版日期: 2011-10-22（万方平台首次上网日期，不代表论文的发表时间）