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DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
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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.
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“ReHo analysis was performed on nonsmoothed functional volumes and images were smoothed after the analysis, because smoothing prior to ReHo calculation would increase regional similarity [51].”
From State and training effects of mindfulness meditation on brain networks reflect neuronal mechanisms of its antidepressant effect (2016) · cites this paper as [51]
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Metadata
- Authors
- Yan
- Venue
- Frontiers in System Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2010
- Volume
- 4
- Pages
- 13-13
- ISSN
- 1662-5137 (ISSN-L)
- PMC
- PMC2889691
- OpenAlex
- W2057550180
- Cited by
- 3,475
- References
- 51
- Citations by year
- 2026: 78 · 2025: 227 · 2024: 250 · 2023: 268 · 2022: 333 · 2021: 300 · 2020: 296 · 2019: 289 · 2018: 269 · 2017: 320 · 2016: 277 · 2015: 256 · 2014: 151 · 2013: 86 · 2012: 50
- FWCI
- 30.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Systems Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (30621130074, 30770594)
- Beijing Normal University
- Program for Changjiang Scholars and Innovative Research Team in University
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- resting-state fMRI, MATLAB toolbox, functional connectivity, regional homogeneity, amplitude of low-frequency fluctuation, fractional ALFF, image preprocessing, SPM
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