CASIA OpenIR  > 脑网络组研究
Discriminant analysis of functional connectivity patterns on Grassmann manifold
Fan, Yong1; Liu, Yong1; Wu, Hong2; Hao, Yihui3; Liu, Haihong3; Liu, Zhening3; Jiang, Tianzi1
Source PublicationNEUROIMAGE
2011-06-15
Volume56Issue:4Pages:2058-2067
SubtypeArticle
AbstractThe 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.
KeywordFmri Resting-state Functional Connectivity Patterns Grassmann Manifold Discriminant Analysis Schizophrenia
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordINDEPENDENT COMPONENT ANALYSIS ; RESTING-STATE FMRI ; DISCONNECTION SYNDROME ; LIKELIHOOD ESTIMATION ; SYNAPTIC PLASTICITY ; EPISODIC MEMORY ; GROUP PICA ; SCHIZOPHRENIA ; CLASSIFICATION ; NETWORK
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000291457500018
Citation statistics
Cited Times:49[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3114
Collection脑网络组研究
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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