Newsletter of resting-state fMRI forum

Resting-State fMRI Data Analysis Toolkit plus V1.22 (RESTplus V1.22)

 
 
     RESTplus evolved from REST (Resting-State fMRI Data Analysis Toolkit). It is based on Matlab and SPM8. RESTplus includes four main modules, i.e., pipeline, statistical analysis, utilities and viewer.

     The pipeline (either fixed or flexible) module provides a very easy way for data processing. After arrangethe DICOM or NIFTI filesand click a few buttons to set parameters, the pipeline (or flexible) module will automatically calculate each processing step and give you all the processed data. The pipeline and flexible module can perform slice timing, realign, reorient, normalize, smooth, detrend, filter, nuisance covariates regression, Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low-Frequency Fluctuation (ALFF), fractional ALFF (fALFF), Granger causality, degree centrality, voxel-mirrored homotopic connectivity (VMHC), and percent amplitude of fluctuation (PerAF). 

     You can also use RESTplus to perform statistical analysis, view your data, perform Monte Carlo simulation (similar to AlphaSim in AFNI), perform Gaussian random field theory multiple comparison correction like easythresh in FSL, calculate your images, regress out covariates, extract ROI time courses, reslice images, calculate intraclass correlation, perform quality assurance, normalize PET data, inverse data into original space, and sort DICOM files. RESTplus also includes ASL toolbox.

DOWNLOAD RESTplus V1.22

An example of RS-fMRI data analysis using RESTplus
Multimedia Course: Data Processing of Resting-State fMRI

    

Contributor list:

     JIA Xi-Ze, Wang Jue, Liao Wei, Zhang Han, Liu Dong-qiang, Ji Gong-jun, Gao Zhong-zhan, Li Xun, Huang Hui-yuan, Wang Ze, Yan Chao-gan, Song Xiao-wei, Zang Yu-feng

 

New features of RESTplus V1.22 (released 20190420)

Add BDA module. (Jia Xi-Ze)

 

New features of RESTplus V1.21 (released 20190205)

Add mean back modification (Wei Wei)

 

New features of RESTplus V1.2 (released 20160202)

1  AlphaSim. The so-called "bug" has been fixed (the edge effects within the mask)

2 A bug for "Nuisance covariates regression" has been fixed

   For RESTplus V1.0 and RESTplus V1.1, the nuisance covariates regression result was wrong when two or more subjects were included (in pipeline or flexible module). For RESTplus V1.2, the bug of indir_RegressOutCov.m has been fixed (line30,line40).  If you have had any regression results from RESTplus V1.0 or RESTplus V1.1, you have to re-analyze your data with RESTplus V1.2. Sorry for the inconvenience.

3 A bug for help panel of "3d ASL Normalization" has been fixed.

1. AlphaSim. The so-called “bug” has been fixed in RESTplus V1.2.(the edge effects within the mask)
2. A bug for "Nuisance covariates regression" has been fixed
3. A bug for help panel of "3d ASL Normalization" has been fixed.
 
 

New features of RESTplus V1.1 (released 20160122)

1. SPM12 Compatible (JIA Xi-Ze)

2. Added ASL toolbox for pcasl and 3D ASL (WANG Ze and JIA Xi-Ze)

3. Updated rp_spm_write_vol.m and rp_spm_read_vols.m from SPM5 to SPM12 (JIA Xi-Ze and LI Xun).

4. Spatial correlation of images in Imaging Calculator, supporting mask selection (JIA Xi-Ze; Thanks the report by JIAO Fang-Yang).

5. Added standardized effect size for t-tests (GAO Zhong-Zhan and JIA Xi-Ze)

6. Fixed a bug when subject ID of dicom header includes ‘-’ or ‘:’. ‘_’ and ‘:’ will be replaced by ‘_’. (JIA Xi-Ze; Thanks report of LIU Yan)

 

Jia Xi-Ze, Wang Jue, Liao Wei, Zhang Han, Liu Dong-qiang, Ji Gong-jun, Gao Zhong-zhan, Li Xun, Huang Hui-yuan, Wang Ze, Yan Chao-gan, Song Xiao-wei, Zang Yu-feng.
   Jia Xi-Ze, Wang Jue, Liao Wei, Zhang Han, Liu Dong-qiang, Ji Gong-jun, Gao Zhong-zhan, Li Xun, Huang Hui-yuan, Wang Ze, Yan Chao-gan, Song Xiao-wei, Zang Yu-feng.

New features of RESTplus V1.0 beta release 151028:

1 Added pipeline module (JIA Xi-Ze)

2 Added flexible module (JIA Xi-Ze)

3 Added quality assurance module (JIA Xi-Ze)

4 Added REST inverse module (JIA Xi-Ze)

5 Added PET Normalize module (JIA Xi-Ze)

6 Added REST Intraclass correlation module (JIA Xi-Ze)

7 Added ASL toolbox for pasl (Wang Ze and JIA Xi-Ze)

8 fix a bug in of NIfTI nii to NIfTI pairs. (Li Xun and JIA Xi-Ze)

9 Nuisance covariates regression can add mean back (JIA Xi-Ze)

10 Module of percent amplitude of fluctuation (PerAF) has been added. (JIA Xi-Ze)

 

Thanks a lot for your email to JIA Xi-Ze (jiaxize@foxmail.com) for any suggestion.

Predefined Types: 

Dynamic brain connectome analysis toolbox

Dynamic brain connectome (DynamicBC) analysis toolbox is a Matlab toolbox to calculate Dynamic Functional Connectivity (d-FC) and Dynamic Effective Connectivity (d-EC). Sliding window analysis (Bivariate Pearson correlation and Granger causality) and time varying parameter regression method (Flexible Least Squares) are two dynamic analysis strategies for time-variant connectivity analysis in the DynamicBC. Granger causality density/strength (GCD/GCS) and functional connectivity density/strength (FCD/FCS) analysis would be performed in this toolbox. Add DynamicBC's directory to MATLAB's path and enter "DynamicBC" in the command window of MATLAB to enjoy it.

The latest release is DynamicBC2.2_20181112

Manual could also be downloaded here

New features of DynamicBC 2.0 release 20180311:
New features of DynamicBC2.2 release 20181112:
--Added a visualization module for connectogram.
--Added a demo for visualization a connectogram.
--Added new feature for cluster number estimation.
--Fixed a bug for clustering the ALFF maps.

 

New features of DynamicBC 2.0 release 20180311:
   --Fixed minor bugs in the Clustering module.

New features of DynamicBC 2.0 release 20171228:
1. Changed the toolbox cover.
2. Added the new module for dynamic intrinsic brain activity (dynamic ALFF).  

 

New features of DynamicBC 1.2 release 20160415

Fixed the step bugs when selecting window size.

 

New features of DynamicBC 1.1 release 20140710:
1. Added the new utilties including the ‘Clustering’ and 'Spectrum' for dynamic FC/EC time series.
2. Added the new output of variance of dynamic FC/EC time series.  
 

New features of DynamicBC 1.0 release 20140429
This release fixed some minor bugs in dynamic FCD.

臧玉峰教授课题组诚觅数据重复合作者

为了确保数据处理的可信性,我们拟寻找数据重复合作者。合作大致协议如下:

1、 我们将把我们的原始数据和数据处理的每一个过程发给您,由您独立完成数据处理的每个过程,然后与我们的结果进行比对,确保结果相同。

2、 数据重复合作者列在作者中(如果有导师指导,可以列2人)。

3、 数据重复合作者无权将这些原始数据用于其它任何用途。

4、 数据重复合作者需要具备与相应的研究比较相关的数据处理能力。