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Resting-State fMRI Data Analysis Toolkit plus V1.1 (RESTplus V1.1)


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). 


DOWNLOAD 

Multimedia Course: Data Processing of Resting-State fMRI

 

     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.

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 V1.1 (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.

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 DynamicBC1.2_20160415.  

Manual could also be downloaded here.

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.

Resting-State fMRI Data Analysis Toolkit V1.8 (静息态功能磁共振数据处理工具包 V1.8)

Resting-State fMRI Data Analysis Toolkit (REST) is a convenient toolkit to calculate Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low-Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality, degree centrality, voxel-mirrored homotopic connectivity (VMHC) and perform statistical analysis. You also can use REST to 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, and sort DICOM files. Download a MULTIMEDIA COURSE would be helpful for knowing more about how to use this software. Add REST's directory to MATLAB's path and enter "REST" in the command window of MATLAB to enjoy it.

Citation of REST is: 
Xiao-Wei Song, Zhang-Ye Dong, Xiang-Yu Long, Su-Fang Li, Xi-Nian Zuo, Chao-Zhe Zhu, Yong He, Chao-Gan Yan, Yu-Feng Zang. (2011) REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing. PLoS ONE 6(9): e25031. doi:10.1371/journal.pone.0025031

The latest release is REST_V1.8_130615


DOWNLOAD 

Multimedia Course: Data Processing of Resting-State fMRI

New features of REST V1.8 release 130615:
1. Fixed a bug in temporal correlation of two groups of images in Image Calculator. (Thanks for the report of ZHANG Han)

2. The midline of VMHC results were set to zero. (YAN Chao-Gan)
 

New features of REST V1.8 release 130303:
When calling Mingrui Xia's BrainNet Viewer (http://www.nitrc.org/projects/bnv/), the default surface template is changed to the smoothed version (BrainMesh_ICBM152_smoothed.nv). The previous default template (BrainMesh_ICBM152.nv) hide more information in the sulcus. If the users want to use BrainMesh_ICBM152.nv as default surface template, please uncomment Line 3740 in rest_sliceviewer: %SurfFileName=[BrainNetViewerPath,filesep,'Data',filesep,'SurfTemplate',filesep,'BrainMesh_ICBM152.nv'];
(After discussion with Mingrui Xia).

New features of REST V1.8 release 130214:
1.    This release fixed some minor bugs, will not affect any data analysis.
2.    Fixed a bug when using .nii(.gz) files in REST Image Calculator. (WANG Xin-Di)
3.    Fixed a bug in using .nii(.gz) files in GCA analyses. (ZANG Zhen-Xiang)
4.    Fixed the imresize_old bug of REST Slice Viewer with Matlab 2012b. (YAN Chao-Gan)

New features of REST V1.8 release 121225:
1.    Support parallel computing! If you installed the MATLAB parallel computing toolbox, REST can distribute the subjects into different CPU cores. (WANG Xin-Di and YAN Chao-Gan).
2.    Algorithm change: (1) Filtering: a separate function for matrix filtering was written. The low cutoff frequency index calculation changed from round (in REST V1.7) to "ceil". E.g., if low cut off corresponded to index 5.1, now it will start from 6 other than 5. This change also applies to ALFF and fALFF calculation. The filtered data changes slightly, about 0.0001. (2) The ALFF generated by the new version is sqrt(2/N) times of the original version. (new version used: 2*abs(fft(x))/N; original version used:  sqrt(2*abs(fft(x))^2/N)). This change will not affect group analysis (as each individual scaled the same number), and will not affect mALFF and fALFF calculation as this factor will be normalized. (3) In the calculation of ReHo, the rank will keep as double and no longer converted into uint16, thus created slight difference with REST V1.7. (YAN Chao-Gan)
3.    REST Slice Viewer support 4D file display and the maximum and minimum value could be set. (WANG Xin-Di)
4.    Gaussian random field (GRF) theory multiple comparison correction (like easythresh in FSL) was supported. The smoothness could be evaluated for GRF correction or AlphaSim correction. (GUI by WANG Xin-Di, algorithm by YAN Chao-Gan)
5.    Modules of voxel-mirrored homotopic connectivity (VMHC) (Zuo et al., 2010), Degree Centrality (Buckner et al., 2009) were added. (GUI by WANG Xin-Di, algorithm by YAN Chao-Gan)
6.    REST GCA: could handle multiple ROIs (other than 2) in ROI-wise GCA now. Fixed a bug of discordance between the outputs and the description in REST-GCA readme in the pre-release of REST V1.8. (ZANG Zhen-Xiang)
7.    rest_readfile.m and rest_writefile: The default format changed to .nii from .img. (WANG Xin-Di)
8.    rest_to4d.m: now support one 4d file other than a directory, also support a cell of image filenames. (YAN Chao-Gan)
9.    rest_regress_ss.m: add the output of T value. (YAN Chao-Gan)
10.    rest_Write4DNIfTI.m: This function was added for write 4D nifti files based on SPM’s nifti function. (YAN Chao-Gan)
11.    rest_writefile.m: No longer need to change to RPI before writing. (YAN Chao-Gan)

关于dpabi mixed effect analysis的问题

老师们好!

DegreeCentrality

DegreeCentrality_PositiveBinarizedSumBrainMap

DegreeCentrality_PositiveWeightedSumBrainMap

请问老师DegreeCentrality跑出来的结果这两个文件名分别代表什么?都可以拿来做统计分析吗?

DPARSF Error

Hello,

 

招聘:杭州师范大学心理科学研究院实验操作助理

职位:科研助理

请教双因素析因分析文献的对与错

老师:

      您好,最近我一直在查关于双因素析因分析的资料,对此有些疑惑。如下文献是用SPM5做2X2的(基因X诊断)的双因素析因分析,他们是先分析诊断的主效应,然后再分析诊断与基因的交互效应。但我从统计学的书中看到的是:双因素析因分析首先要分析各因素的交互效应,若有交互效应后再进一步分析各因素各水平的单独效应;若无交互效应则各因素相互独立,才可以分析各因素的主效应。目前我只查到中国人发的这方面文献,而他们都像下面文献这样分析。难道是统计学的书错了吗?还是有别的原因呢?期待老师您的回复,谢谢!

 

Alphasim Correction

老师:
 
   您好,我是最近刚开始接触fMRI,有几个关于Alphasim校正的问题想下请教各位老师,还是希望老师能在百忙之中帮忙解答:
 

静息态功能连接的回归分析

各位老师,请问rsFC的回归分析应该怎么操作呀?rest里面的statistical analysis中只有相关分析,可是外审专家要求应该做回归而不是相关。

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