DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI.
DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI.
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DPARSF：用于静息态 fMRI“管道”数据分析的 MATLAB 工具箱。
DOI：
10.3389/fnsys.2010.00013
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发表时间：
2010
影响因子：
3
通讯作者：
Yu-Feng Z
中科院分区：
文献类型：
--
作者：
Chao-Gan Y;Yu-Feng Z
静止状态功能磁共振成像（fMRI）由于其有效性，简单性和无侵入性而吸引了越来越多的关注，但是，人脑的内在功能架构，但是，“管道”数据分析的用户友好工具箱。基于统计参数映射（SPM）和静止状态fMRI数据分析工具包（REST）的某些功能，仍缺乏静止状态的fMRI。 MATLAB工具箱称为静止状态fMRI的数据处理助手（DPARSF），用于“管道”数据分析静止状态fMRI。然后，DPARSF将提供所有预处理（切片，重新调整，归一化，平滑）数据和功能连通性的结果，区域均匀性，低频的放大器波动（ALFF）和分数ALFF。感兴趣的。
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.