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DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI
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 re...
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889691/ https://www.ncbi.nlm.nih.gov/pubmed/20577591 http://dx.doi.org/10.3389/fnsys.2010.00013 |
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author | Chao-Gan, Yan Yu-Feng, Zang |
author_facet | Chao-Gan, Yan Yu-Feng, Zang |
author_sort | Chao-Gan, Yan |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2889691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-28896912010-06-24 DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI Chao-Gan, Yan Yu-Feng, Zang Front Syst Neurosci Neuroscience 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. Frontiers Research Foundation 2010-05-14 /pmc/articles/PMC2889691/ /pubmed/20577591 http://dx.doi.org/10.3389/fnsys.2010.00013 Text en Copyright © 2010 Yan and Zang. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Chao-Gan, Yan Yu-Feng, Zang DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI |
title | DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI |
title_full | DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI |
title_fullStr | DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI |
title_full_unstemmed | DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI |
title_short | DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI |
title_sort | dparsf: a matlab toolbox for “pipeline” data analysis of resting-state fmri |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889691/ https://www.ncbi.nlm.nih.gov/pubmed/20577591 http://dx.doi.org/10.3389/fnsys.2010.00013 |
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