Discriminant analysis of functional connectivity patterns on Grassmann manifold

	Discriminant analysis of functional connectivity patterns on Grassmann manifold
	Fan, Yong 1; Liu, Yong1 ; Wu, Hong 2; Hao, Yihui 3; Liu, Haihong 3; Liu, Zhening 3; Jiang, Tianzi1
发表期刊	NEUROIMAGE
	2011-06-15
卷号	56 期号:4 页码:2058-2067
文章类型	Article
摘要	The functional brain networks, extracted from fMRI images using independent component analysis, have been demonstrated informative for distinguishing brain states of cognitive function and brain disorders. Rather than analyzing each network encoded by a spatial independent component separately, we propose a novel algorithm for discriminant analysis of functional brain networks jointly at an individual level. The functional brain networks of each individual are used as bases for a linear subspace, referred to as a functional connectivity pattern, which facilitates a comprehensive characterization of fMRI data. The functional connectivity patterns of different individuals are analyzed on the Grassmann manifold by adopting a principal angle based Riemannian distance. In conjunction with a support vector machine classifier, a forward component selection technique is proposed to select independent components for constructing the most discriminative functional connectivity pattern. The discriminant analysis method has been applied to an fMRI based schizophrenia study with 31 schizophrenia patients and 31 healthy individuals. The experimental results demonstrate that the proposed method not only achieves a promising classification performance for distinguishing schizophrenia patients from healthy controls, but also identifies discriminative functional brain networks that are informative for schizophrenia diagnosis. (C) 2011 Elsevier Inc. All rights reserved.
关键词	Fmri Resting-state Functional Connectivity Patterns Grassmann Manifold Discriminant Analysis Schizophrenia
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]	INDEPENDENT COMPONENT ANALYSIS ; RESTING-STATE FMRI ; DISCONNECTION SYNDROME ; LIKELIHOOD ESTIMATION ; SYNAPTIC PLASTICITY ; EPISODIC MEMORY ; GROUP PICA ; SCHIZOPHRENIA ; CLASSIFICATION ; NETWORK
收录类别	SCI
语种	英语
WOS研究方向	Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000291457500018
引用统计	被引频次：70[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/173211/3114
专题	脑图谱与类脑智能实验室_脑网络组研究
作者单位	1.Chinese Acad Sci, Inst Automat, LIAMA Ctr Computat Med, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Elect Sci & Technol China, Sch Engn & Comp Sci, Chengdu 611731, Peoples R China 3.Cent S Univ, Xiangya Hosp 2, Inst Mental Hlth, Changsha 410011, Hunan, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Fan, Yong,Liu, Yong,Wu, Hong,et al. Discriminant analysis of functional connectivity patterns on Grassmann manifold[J]. NEUROIMAGE,2011,56(4):2058-2067.
APA	Fan, Yong.,Liu, Yong.,Wu, Hong.,Hao, Yihui.,Liu, Haihong.,...&Jiang, Tianzi.(2011).Discriminant analysis of functional connectivity patterns on Grassmann manifold.NEUROIMAGE,56(4),2058-2067.
MLA	Fan, Yong,et al."Discriminant analysis of functional connectivity patterns on Grassmann manifold".NEUROIMAGE 56.4(2011):2058-2067.