REST: a Toolkit for Resting-state Functional Magnetic Resonance Imaging Data Processing

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2011 Sep 28

PMID 21949842

Citations 983

Authors

Xiao-Wei Song

Zhang-Ye Dong

Xiang-Yu Long

Su-Fang Li

Xi-Nian Zuo

Chao-Zhe Zhu

Yong He

Chao-Gan Yan

Yu-Feng Zang

Affiliations

Soon will be listed here.

Abstract

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.

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