CASIA OpenIR  > 脑图谱与类脑智能实验室  > 脑网络组研究
Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks
Yuhui Du; Jingyu Liu; Sui Jing(隋婧); Hao He; Godfrey D Pearlson D.; Vince D Calhoun
2014
会议名称2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014)
会议日期2014/8/28-9/2
会议地点Chicago,USA
摘要Identification of subject-specific brain functional networks of interest is of great importance in fMRI based brain network analysis. In this study, a novel method is proposed to identify subject-specific brain functional networks using a graph theory based semi-supervised learning technique by incorporating not only prior information of the network to be identified as similarly used in seed region based correlation analysis (SCA) but also background information, which leads to robust performance for fMRI data with low signal noise ratio (SNR). Comparison experiments on both simulated and real fMRI data demonstrate that our method is more robust and accurate for identification of known brain functional networks than SCA, blind independent component analysis (ICA), and clustering based methods including Ncut and Kmeans.
关键词Mood Disorders Connectivity Dsm-5
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/20796
专题脑图谱与类脑智能实验室_脑网络组研究
作者单位Institute of Automation Chinese Academy of Sciences
第一作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Yuhui Du,Jingyu Liu,Sui Jing,et al. Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks[C],2014.
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