Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies
文献类型：期刊论文
| 作者 | Sui, Jing1,2,3; Huster, Rene4; Yu, Qingbao1; Segall, Judith M.1; Calhoun, Vince D.1,5; Sui Jing(隋婧)
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| 刊名 | NEUROIMAGE
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| 出版日期 | 2014-11-15 |
| 卷号 | 102页码:11-23 |
| 关键词 | Multimodal fusion fMRI sMRI Diffusion MRI EEG Brain connectivity |
| 英文摘要 | Despite significant advances in multimodal imaging techniques and analysis approaches, unimodal studies are still the predominant way to investigate brain changes or group differences, including structural magnetic resonance imaging (sMRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and electroencephalography (EEG). Multimodal brain studies can be used to understand the complex interplay of anatomical, functional and physiological brain alterations or development, and to better comprehend the biological significance of multiple imaging measures. To examine the function-structure associations of the brain in a more comprehensive and integrated manner, we reviewed a number of multimodal studies that combined two or more functional (fMRI and/or EEG) and structural (sMRI and/or DTI) modalities. In this review paper, we specifically focused onmultimodal neuroimaging studies on cognition, aging, disease and behavior. We also compared multiple analysis approaches, including univariate and multivariate methods. The possible strengths and limitations of each method are highlighted, which can guide readers when selecting a method based on a given research question. In particular, we believe that multimodal fusion approaches will shed further light on the neuronalmechanisms underlying the major structural and functional pathophysiological features of both the healthy brain (e.g. development) or the diseased brain (e. g. mental illness) and, in the latter case, may provide a more sensitive measure than unimodal imaging for disease classification, e. g. multimodal biomarkers, which potentially can be used to support clinical diagnosis based on neuroimaging techniques. (C) 2013 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 ; CANONICAL CORRELATION-ANALYSIS ; VOXEL-BASED MORPHOMETRY ; TRANSCRANIAL MAGNETIC STIMULATION ; WHITE-MATTER MICROSTRUCTURE ; RESTING STATE FMRI ; CORPUS-CALLOSUM ; GRAY-MATTER ; ANTERIOR CINGULATE ; BIPOLAR DISORDER |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000345390400003 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3153]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 作者单位 | 1.Mind Res Network, Albuquerque, NM 87106 USA 2.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Carl von Ossietzky Univ Oldenburg, Expt Psychol Lab, Oldenburg, Germany 5.Univ New Mexico, Dept ECE, Albuquerque, NM 87131 USA |
| 推荐引用方式 GB/T 7714 | Sui, Jing,Huster, Rene,Yu, Qingbao,et al. Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies[J]. NEUROIMAGE,2014,102:11-23. |
| APA | Sui, Jing,Huster, Rene,Yu, Qingbao,Segall, Judith M.,Calhoun, Vince D.,&Sui Jing.(2014).Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies.NEUROIMAGE,102,11-23. |
| MLA | Sui, Jing,et al."Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies".NEUROIMAGE 102(2014):11-23. |
入库方式： OAI收割
来源：自动化研究所
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