| 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.
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| 2011-09-20 | |
| 发表期刊 | PLOS ONE
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| ISSN | 1932-6203 |
| 文章类型 | Article |
| 卷号 | 6期号:9页码:e25031 |
| 产权排序 | 3 |
| 摘要 | Resting-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. |
| 学科领域 | Physiological Psychology/biological Psychology |
| URL | 查看原文 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | National 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) |
| 项目简介 | 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记录号 | WOS:000295260400038 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.psych.ac.cn/handle/311026/13243 |
| 专题 | 社会与工程心理学研究室 |
| 通讯作者 | Song, XW (reprint author), Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China. |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| WOS000295260400038.p（1432KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 请求全文 | |
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