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

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Listed:
  • 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

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.

Suggested Citation

  • 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, 2011. "REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-12, September.
  • Handle: RePEc:plo:pone00:0025031
    DOI: 10.1371/journal.pone.0025031
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    Cited by:

    1. Qian Ran & Junyi Yang & Wenjing Yang & Dongtao Wei & Jiang Qiu & Dong Zhang, 2017. "The association between resting functional connectivity and dispositional optimism," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-13, July.
    2. Ying Han & Su Lui & Weihong Kuang & Qi Lang & Ling Zou & Jianping Jia, 2012. "Anatomical and Functional Deficits in Patients with Amnestic Mild Cognitive Impairment," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-7, February.
    3. Yu Sun & Qihua Yin & Rong Fang & Xiaoxiao Yan & Ying Wang & Anastasios Bezerianos & Huidong Tang & Fei Miao & Junfeng Sun, 2014. "Disrupted Functional Brain Connectivity and Its Association to Structural Connectivity in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-14, May.

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