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Brain functional networks extraction based on fMRI artifact removal: single subject and group approaches
Yuhui Du; Elena A Allen; Hao He; Sui Jing(隋婧); 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.
关键词Independent Component Analysis Resting-state Fmri Mri
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/20797
专题脑网络组研究中心
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],2014.
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