Brain functional networks extraction based on fMRI artifact removal: single subject and group approaches

	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,Elena A Allen,Hao He,et al. Brain functional networks extraction based on fMRI artifact removal: single subject and group approaches[C],2014.