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REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing
Song, Xiao-Wei1,2; Dong, Zhang-Ye1; Long, Xiang-Yu1; Li, Su-Fang1; Zuo, Xi-Nian3; Zhu, Chao-Zhe1; He, Yong1; Yan, Chao-Gan1; Zang, Yu-Feng1,4,5; Song, XW (reprint author), Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China.
2011-09-20
Source PublicationPLOS ONE
ISSN1932-6203
SubtypeArticle
Volume6Issue:9Pages:e25031
Contribution Rank3
AbstractResting-state fMRI (RS-fMRI) has been drawing more and more attention in recent years. However, a publicly available, systematically integrated and easy-to-use tool for RS-fMRI data processing is still lacking. We developed a toolkit for the analysis of RS-fMRI data, namely the RESting-state fMRI data analysis Toolkit (REST). REST was developed in MATLAB with graphical user interface (GUI). After data preprocessing with SPM or AFNI, a few analytic methods can be performed in REST, including functional connectivity analysis based on linear correlation, regional homogeneity, amplitude of low frequency fluctuation (ALFF), and fractional ALFF. A few additional functions were implemented in REST, including a DICOM sorter, linear trend removal, bandpass filtering, time course extraction, regression of covariates, image calculator, statistical analysis, and slice viewer (for result visualization, multiple comparison correction, etc.). REST is an open-source package and is freely available at http://www.restfmri.net.
Subject AreaPhysiological Psychology/biological Psychology
URL查看原文
Indexed BySCI
Language英语
Funding OrganizationNational High Technology Program of China (863) [2008AA02Z405] ; Natural Science Foundation of China [30770594, 81020108022] ; Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT)
Project Intro.This work was funded by the National High Technology Program of China (863, No. 2008AA02Z405), the Natural Science Foundation of China (30770594, 81020108022), and the Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
WOS IDWOS:000295260400038
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Cited Times:1091[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/13243
Collection社会与工程心理学研究室
Corresponding AuthorSong, XW (reprint author), Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China.
Affiliation1.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
2.Chinese Acad Sci, Inst Biophys, Beijing 100080, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
4.Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou, Zhejiang, Peoples R China
5.Hangzhou Normal Univ, Affiliated Hosp, Hangzhou, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Song, Xiao-Wei,Dong, Zhang-Ye,Long, Xiang-Yu,et al. REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing[J]. PLOS ONE,2011,6(9):e25031.
APA Song, Xiao-Wei.,Dong, Zhang-Ye.,Long, Xiang-Yu.,Li, Su-Fang.,Zuo, Xi-Nian.,...&Song, XW .(2011).REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing.PLOS ONE,6(9),e25031.
MLA Song, Xiao-Wei,et al."REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing".PLOS ONE 6.9(2011):e25031.
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