REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

	REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing
	Song, Xiao-Wei 1,2; Dong, Zhang-Ye 1; Long, Xiang-Yu 1; Li, Su-Fang 1; Zuo, Xi-Nian3 ; Zhu, Chao-Zhe 1; He, Yong 1; Yan, Chao-Gan1 ; Zang, Yu-Feng 1,4,5
刊名	PLOS ONE
	2011-09-20
卷号	6 期号:9 页码:e25031
ISSN号	1932-6203
通讯作者	Song, XW (reprint author), Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China.
产权排序	3
英文摘要	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.
学科主题	Physiological psychology/Biological Psychology
收录类别	SCI
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.
原文出处	http://library.ibp.ac.cn/html/slwj/000295260400038.pdf
语种	英语
WOS记录号	WOS:000295260400038
内容类型	期刊论文
源URL	[http://ir.psych.ac.cn/handle/311026/13243]
专题	心理研究所_社会与工程心理学研究室
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.,...&Zang, Yu-Feng.(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.