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Effects of Non-Local Diffusion on Structural MRI Preprocessing and Default Network Mapping: Statistical Comparisons with Isotropic/Anisotropic Diffusion
Zuo, Xi-Nian1,2; Xing, Xiu-Xia3; Zuo, XN (reprint author), Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, Beijing 100101, Peoples R China.
2011-10-31
Source PublicationPLOS ONE
ISSN1932-6203
SubtypeArticle
Volume6Issue:10
Contribution Rank1
AbstractNeuroimaging 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.
Subject AreaCognitive Neuroscience
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Indexed BySCI
Language英语
Funding OrganizationStartup Foundation for Distinguished Research Professor of Institute for Psychology [Y0CX492S03] ; 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] ; Scientific Research Foundation for the Youth Specialized in Differential Equations of Beijing University of Technology [X3006012200801]
Project Intro.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.
WOS IDWOS:000296916000021
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Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/11486
Collection中国科学院行为科学重点实验室
Corresponding AuthorZuo, XN (reprint author), Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, Beijing 100101, Peoples R China.
Affiliation1.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
Recommended Citation
GB/T 7714
Zuo, Xi-Nian,Xing, Xiu-Xia,Zuo, XN . 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,&Zuo, XN .(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).
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