Combination of resting state fMRI, DTI, and sMRI data to discriminate schizophrenia by N-way MCCA plus jICA

	Combination of resting state fMRI, DTI, and sMRI data to discriminate schizophrenia by N-way MCCA plus jICA
	Sui, Jing1,2 ; He, Hao 1,3; Yu, Qingbao 1; Chen, Jiayu 1,3; Rogers, Jack 4; Pearlson, Godfrey D.5,6,7; Mayer, Andrew 1,8,9; Bustillo, Juan 8,9; Canive, Jose 8,9,10; Calhoun, Vince D.1,3,5
发表期刊	FRONTIERS IN HUMAN NEUROSCIENCE
	2013-05-29
卷号	7
文章类型	Article
摘要	Multimodal brain imaging data have shown increasing utility in answering both scientifically interesting and clinically relevant questions. Each brain imaging technique provides a different view of brain function or structure, while multimodal fusion capitalizes on the strength of each and may uncover hidden relationships that can merge findings from separate neuroimaging studies. However, most current approaches have focused on pair-wise fusion and there is still relatively little work on N-way data fusion and examination of the relationships among multiple data types. We recently developed an approach called "mCCA + jICA" as a novel multi-way fusion method which is able to investigate the disease risk factors that are either shared or distinct across multiple modalities as well as the full correspondence across modalities. In this paper, we applied this model to combine resting state fMRI (amplitude of low-frequency fluctuation, ALFF), gray matter (GM) density, and DTI (fractional anisotropy, FA) data, in order to elucidate the abnormalities underlying schizophrenia patients (SZs, n = 35) relative to healthy controls (HCs, n = 28). Both modality-common and modality-unique abnormal regions were identified in SZs, which were then used for successful classification for seven modality-combinations, showing the potential for a broad applicability of the mCCA + jICA model and its results. In addition, a pair of GM-DTI components showed significant correlation with the positive symptom subscale of Positive and Negative Syndrome Scale (PANSS), suggesting that GM density changes in default model network along with white-matter disruption in anterior thalamic radiation are associated with increased positive PANSS. Findings suggest the DTI anisotropy changes in frontal lobe may relate to the corresponding functional/structural changes in prefrontal cortex and superior temporal gyrus that are thought to play a role in the clinical expression of SZ.
关键词	Multimodal Fusion Mcca Plus Jica Resting State Fmri Dti Smri Schizophrenia Alff Gm
WOS标题词	Science & Technology ; Social Sciences ; Life Sciences & Biomedicine
关键词[WOS]	WHITE-MATTER ABNORMALITIES ; INDEPENDENT COMPONENT ANALYSIS ; CANONICAL CORRELATION-ANALYSIS ; BIPOLAR DISORDER ; PARANOID SCHIZOPHRENIA ; 1ST-EPISODE SCHIZOPHRENIA ; FUNCTIONAL CONNECTIVITY ; 1ST-DEGREE RELATIVES ; BRAIN CONNECTIVITY ; MULTIMODAL FUSION
收录类别	SCI
语种	英语
WOS研究方向	Neurosciences & Neurology ; Psychology
WOS类目	Neurosciences ; Psychology
WOS记录号	WOS:000319862900001
引用统计	被引频次：80[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/173211/3203
专题	脑图谱与类脑智能实验室_脑网络组研究
作者单位	1.Lovelace Biomed & Environm Res Inst, Mind Res Network, Albuquerque, NM USA 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, LIAMA Ctr Computat Med, Beijing, Peoples R China 3.Univ New Mexico, Dept ECE, Albuquerque, NM 87131 USA 4.New Coll Florida, Div Nat Sci, Sarasota, FL USA 5.Olin Neuropsychiat Res Ctr, Hartford, CT USA 6.Yale Univ, Dept Psychiat, New Haven, CT 06520 USA 7.Yale Univ, Dept Neurobiol, New Haven, CT USA 8.Univ New Mexico, Dept Psychiat, Albuquerque, NM 87131 USA 9.Univ New Mexico, Dept Neurosci, Albuquerque, NM 87131 USA 10.New Mexico VA Hlth Care Syst, Psychiat Res Program, Albuquerque, NM USA
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	Sui, Jing,He, Hao,Yu, Qingbao,et al. Combination of resting state fMRI, DTI, and sMRI data to discriminate schizophrenia by N-way MCCA plus jICA[J]. FRONTIERS IN HUMAN NEUROSCIENCE,2013,7.
APA	Sui, Jing.,He, Hao.,Yu, Qingbao.,Chen, Jiayu.,Rogers, Jack.,...&Calhoun, Vince D..(2013).Combination of resting state fMRI, DTI, and sMRI data to discriminate schizophrenia by N-way MCCA plus jICA.FRONTIERS IN HUMAN NEUROSCIENCE,7.
MLA	Sui, Jing,et al."Combination of resting state fMRI, DTI, and sMRI data to discriminate schizophrenia by N-way MCCA plus jICA".FRONTIERS IN HUMAN NEUROSCIENCE 7(2013).