Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis

	Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis
	Liu, Zhenyu1 ; Zhang, Yumei 2; Bai, Lijun 1; Yan, Hao 3; Dai, Ruwei1 ; Zhong, Chongguang 1; Wang, Hu 1; Wei, Wenjuan 1; Xue, Ting 4; Feng, Yuanyuan 1; You, Youbo 1; Tian, Jie 1,4; Tian Jie
发表期刊	NMR IN BIOMEDICINE
	2012-12-01
卷号	25 期号:12 页码:1311-1320
文章类型	Article
摘要	Recent neuroimaging studies have shown that the cognitive and memory decline in patients with Alzheimer's disease (AD) is coupled with abnormal functions of focal brain regions and disrupted functional connectivity between distinct brain regions, as well as losses in small-world attributes. However, the causal interactions among the spatially isolated, but functionally related, resting state networks (RSNs) are still largely unexplored. In this study, we first identified eight RSNs by independent components analysis from resting state functional MRI data of 18 patients with AD and 18 age-matched healthy subjects. We then performed a multivariate Granger causality analysis (mGCA) to evaluate the effective connectivity among the RSNs. We found that patients with AD exhibited decreased causal interactions among the RSNs in both intensity and quantity relative to normal controls. Results from mGCA indicated that the causal interactions involving the default mode network and auditory network were weaker in patients with AD, whereas stronger causal connectivity emerged in relation to the memory network and executive control network. Our findings suggest that the default mode network plays a less important role in patients with AD. Increased causal connectivity of the memory network and self-referential network may elucidate the dysfunctional and compensatory processes in the brain networks of patients with AD. These preliminary findings may provide a new pathway towards the determination of the neurophysiological mechanisms of AD. Copyright (c) 2012 John Wiley & Sons, Ltd.
关键词	Alzheimer's Disease Resting State Functional Mri Effective Connectivity Independent Components Analysis Multivariate Granger Causality Analysis
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Technology
关键词[WOS]	DEFAULT-MODE NETWORK ; HUMAN BRAIN ; FMRI ; CORTEX ; SYSTEMS ; SCHIZOPHRENIA ; ATTENTION ; DEMENTIA ; TASK ; ICA
收录类别	SCI
语种	英语
WOS研究方向	Biophysics ; Radiology, Nuclear Medicine & Medical Imaging ; Spectroscopy
WOS类目	Biophysics ; Radiology, Nuclear Medicine & Medical Imaging ; Spectroscopy
WOS记录号	WOS:000310237600002
引用统计	被引频次：48[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4100
专题	中国科学院分子影像重点实验室
通讯作者	Tian Jie
作者单位	1.Chinese Acad Sci, Inst Automat, Intelligent Med Res Ctr, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Capital Med Univ, Dept Neurol, Beijing Tiantan Hosp, Beijing 100050, Peoples R China 3.Shaanxi Normal Univ, Sch Psychol, Xian 710062, Peoples R China 4.Xidian Univ, Life Sci Res Ctr, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China
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	Liu, Zhenyu,Zhang, Yumei,Bai, Lijun,et al. Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis[J]. NMR IN BIOMEDICINE,2012,25(12):1311-1320.
APA	Liu, Zhenyu.,Zhang, Yumei.,Bai, Lijun.,Yan, Hao.,Dai, Ruwei.,...&Tian Jie.(2012).Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis.NMR IN BIOMEDICINE,25(12),1311-1320.
MLA	Liu, Zhenyu,et al."Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis".NMR IN BIOMEDICINE 25.12(2012):1311-1320.

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