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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
Conference Name2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014)
Conference Date2014/8/28-9/2
Conference PlaceChicago,USA
AbstractIdentification 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.
KeywordMood Disorders Connectivity Dsm-5
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20796
Collection脑网络组研究中心
AffiliationInstitute of Automation Chinese Academy of Sciences
Recommended Citation
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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