Brain functional networks extraction based on fMRI artifact removal: single subject and group approaches
文献类型：会议论文
| 作者 | Yuhui Du; Elena A Allen; Hao He; Sui Jing(隋婧) ; Vince D Calhoun
|
| 出版日期 | 2014 |
| 会议日期 | 2014/8/28-9/2 |
| 会议地点 | Chicago,USA |
| 关键词 | Independent Component Analysis Resting-state Fmri Mri |
| 英文摘要 | Recent works have shown that, even in resting state, functional networks undergo dynamic changes over short time. In this study, we describe an approach to assess the difference in default mode network (DMN) dynamics between healthy controls (HC) and schizophrenia patients (SZ) using resting-state functional magnetic resonance imaging. Firstly, dynamic DMN was computed using a sliding time window method. Then, stability of the dynamic DMN evaluated using the spectrum of time-varying functional connectivity was compared between HC and SZ. Subsequently, the overall functional connectivity pattern and dynamic graph measures were also investigated for both groups. Results show that dynamic DMN of HC had more stable and stronger functional connectivity than that of SZ. Regarding to dynamic graph measures, SZ had lower connectivity strength, clustering coefficient, global efficiency, and local efficiency than HC. The findings suggest that dynamic functional network analysis is a promising technique for understanding schizophrenia. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20797]  |
| 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,Elena A Allen,Hao He,et al. Brain functional networks extraction based on fMRI artifact removal: single subject and group approaches[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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