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DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI

Chao-Gan, Yan ; Yu-Feng, Zang

Frontiers in systems neuroscience, 2010-01, Vol.4, p.13-13 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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  • Título:
    DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI
  • Autor: Chao-Gan, Yan ; Yu-Feng, Zang
  • Assuntos: data analysis ; DPARSF ; Neuroscience ; Rest ; Resting-state fMRI ; SPM
  • É parte de: Frontiers in systems neuroscience, 2010-01, Vol.4, p.13-13
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Edited by: Lucina Q. Uddin, Stanford University, USA
    Reviewed by: Martin Walter, Otto-von-Guericke-Universität Magdeburg, Germany; Srikanth Ryali, Stanford University, USA
  • Descrição: Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more attention because of its effectiveness, simplicity and non-invasiveness in exploration of the intrinsic functional architecture of the human brain. However, user-friendly toolbox for "pipeline" data analysis of resting-state fMRI is still lacking. Based on some functions in Statistical Parametric Mapping (SPM) and Resting-State fMRI Data Analysis Toolkit (REST), we have developed a MATLAB toolbox called Data Processing Assistant for Resting-State fMRI (DPARSF) for "pipeline" data analysis of resting-state fMRI. After the user arranges the Digital Imaging and Communications in Medicine (DICOM) files and click a few buttons to set parameters, DPARSF will then give all the preprocessed (slice timing, realign, normalize, smooth) data and results for functional connectivity, regional homogeneity, amplitude of low-frequency fluctuation (ALFF), and fractional ALFF. DPARSF can also create a report for excluding subjects with excessive head motion and generate a set of pictures for easily checking the effect of normalization. In addition, users can also use DPARSF to extract time courses from regions of interest.
  • Editor: Switzerland: Frontiers Research Foundation
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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