Date:2010-05-14
Author:Yan Chao-Gan* and Zang Yu-Feng*
Pages:7
Summary:DPARSF is a MATLAB toolbox designed for "pipeline" data analysis of resting-state functional magnetic resonance imaging (fMRI). It is based on functions from SPM and REST, a user-friendly tool for preprocessed data analysis. DPARSF automates various steps such as DICOM file conversion, head motion correction, normalization, smoothing, and nuisance covariate removal. It also calculates metrics like regional homogeneity (ReHo), amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), and functional connectivity (FC). The toolbox generates reports for subjects with excessive head motion and visual aids for checking normalization effects. DPARSF is freely available and aims to simplify the analysis of resting-state fMRI data, particularly for clinical studies. The toolbox's effectiveness is demonstrated through illustrations using a large sample dataset, showing consistent results with previous studies on the default mode network (DMN) and its anti-correlated network.