Effects of Non-Local Diffusion on Structural MRI Preprocessing and Default Network Mapping: Statistical Comparisons with Isotropic/Anisotropic Diffusion
文献类型：期刊论文
| 作者 | Zuo, Xi-Nian1,2 ; Xing, Xiu-Xia3
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| 刊名 | PLOS ONE
 |
| 出版日期 | 2011-10-31 |
| 卷号 | 6期号:10 |
| ISSN号 | 1932-6203 |
| 通讯作者 | Zuo, XN (reprint author), Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, Beijing 100101, Peoples R China. |
| 产权排序 | 1 |
| 英文摘要 | Neuroimaging community usually employs spatial smoothing to denoise magnetic resonance imaging (MRI) data, e. g., Gaussian smoothing kernels. Such an isotropic diffusion (ISD) based smoothing is widely adopted for denoising purpose due to its easy implementation and efficient computation. Beyond these advantages, Gaussian smoothing kernels tend to blur the edges, curvature and texture of images. Researchers have proposed anisotropic diffusion (ASD) and non-local diffusion (NLD) kernels. We recently demonstrated the effect of these new filtering paradigms on preprocessing real degraded MRI images from three individual subjects. Here, to further systematically investigate the effects at a group level, we collected both structural and functional MRI data from 23 participants. We first evaluated the three smoothing strategies' impact on brain extraction, segmentation and registration. Finally, we investigated how they affect subsequent mapping of default network based on resting-state functional MRI (R-fMRI) data. Our findings suggest that NLD-based spatial smoothing maybe more effective and reliable at improving the quality of both MRI data preprocessing and default network mapping. We thus recommend NLD may become a promising method of smoothing structural MRI images of R-fMRI pipeline. |
| 学科主题 | Cognitive neuroscience |
| 收录类别 | SCI |
| 项目简介 | The current study was partially supported by the Startup Foundation for Distinguished Research Professor of Institute for Psychology (Y0CX492S03), the National Nature Science Foundation of China (10006012200802), Youth Foundation of Beijing University of Technology (X1006012201001), Natural Science Foundation for Basic Research of Beijing University of Technology (JX006012201002), and the Scientific Research Foundation for the Youth Specialized in Differential Equations of Beijing University of Technology (X3006012200801). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. |
| 原文出处 | http://www.medlive.cn/uploadfile/2011/1107/20111107112132225.pdf |
| 语种 | 英语 |
| WOS记录号 | WOS:000296916000021 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/11486]  |
| 专题 | 心理研究所_中国科学院行为科学重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Ctr, Beijing 100101, Peoples R China 3.Beijing Univ Technol, Coll Appl Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zuo, Xi-Nian,Xing, Xiu-Xia. Effects of Non-Local Diffusion on Structural MRI Preprocessing and Default Network Mapping: Statistical Comparisons with Isotropic/Anisotropic Diffusion[J]. PLOS ONE,2011,6(10). |
| APA | Zuo, Xi-Nian,&Xing, Xiu-Xia.(2011).Effects of Non-Local Diffusion on Structural MRI Preprocessing and Default Network Mapping: Statistical Comparisons with Isotropic/Anisotropic Diffusion.PLOS ONE,6(10). |
| MLA | Zuo, Xi-Nian,et al."Effects of Non-Local Diffusion on Structural MRI Preprocessing and Default Network Mapping: Statistical Comparisons with Isotropic/Anisotropic Diffusion".PLOS ONE 6.10(2011). |
入库方式： OAI收割
来源：心理研究所
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