Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks
文献类型:会议论文
作者 | Yuhui Du; Jingyu Liu![]() ![]() |
出版日期 | 2014 |
会议日期 | 2014/8/28-9/2 |
会议地点 | Chicago,USA |
关键词 | Mood Disorders Connectivity Dsm-5 |
英文摘要 | 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. |
源URL | [http://ir.ia.ac.cn/handle/173211/20796] ![]() |
专题 | 自动化研究所_脑网络组研究中心 |
作者单位 | Institute of Automation Chinese Academy of Sciences |
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]. 见:. Chicago,USA. 2014/8/28-9/2. |
入库方式: OAI收割
来源:自动化研究所
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