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Discriminant analysis of functional connectivity patterns on Grassmann manifold

文献类型：期刊论文

作者Fan, Yong1; Liu, Yong1; Wu, Hong2; Hao, Yihui3; Liu, Haihong3; Liu, Zhening3; Jiang, Tianzi1
刊名NEUROIMAGE
出版日期2011-06-15
卷号56期号:4页码:2058-2067
关键词fMRI Resting-state Functional connectivity patterns Grassmann manifold Discriminant analysis Schizophrenia
英文摘要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.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
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记录号WOS:000291457500018
源URL[http://ir.ia.ac.cn/handle/173211/3114]  
专题自动化研究所_脑网络组研究中心
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
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.

入库方式： OAI收割

来源：自动化研究所

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