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 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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References in zbMATH (referenced in 2 articles )
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- Li, Wei; Wang, Miao; Wen, Wen; Huang, Yue; Chen, Xi; Fan, Wenliang; The Alzheimer’s Disease Neuroimaging Initiative: Neural dynamics during resting state: a functional magnetic resonance imaging exploration with reduction and visualization (2018)
- Forzani, Liliana; Fraiman, Ricardo; Llop, Pamela: Density estimation for spatial-temporal models (2013)