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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 DynamicBC_V1.1_20140710.  

Manual could also be downloaded here.

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)

post-hoc t-test

老师:
     您好!
     1.我有三组被试,先做了ANOVA, 得到了ANOVA显著的clusters, 然后save clusters做为mask,在这个mask里做two-sample post-hoc t-test.  用AlphaSim进行多重比较校正,那voxel level p值和 相应的cluster size是怎么定的呢(Alphasim矫正后的P为0.05 )?
     2.我研究的是Reho, 审稿人提出要控制灰质、白质混杂因素,在两组之间比较时,我已经把灰质体积加入了协变量,白质是否也可作为协变量加入,是否有比较方便的工具量化白质呢?

求助REST的Viewer里面的FDR校正是哪一种FDR校正方式?

 求助REST的Viewer里面的FDR校正是哪一种FDR校正方式?  是voxel-wise FDR,还是cluster-wise FDR 。

Seed based analysis

Dear experts,
I am trying to perform a seed-based resting-state analysis with one seed in the precuenus.

多被试的分析

各位老师好!
我现在单被试基础分析都熟练了,现在就是想增加被试到30个左右,那怎么做多人的呢,求均值吗?还是分别做然后做t检验?
我做的是基于小波相关的功能连接,用的dparsf提取的text文件信号,如何做t检验呢? 看到过要用spss  ,那么是先对信号做t检验呢,还是对连接矩阵做t检验呢?对二值矩阵做可以吗?
拜托老师给予解答!谢谢!

IdleTimeout has been reached; process stopped

 Hi and thank you for reading this.

关于相关性分析问题

各位老师好,想请教一下如何做关于静息态reho、alff、FC等结果与病人年龄、量表得分之间的相关性。是要自己制作一个像.mat文件一样的的几行几列的文件吗?不会操作,求详细解答,谢谢了。老板给了相关的学习视频,唯独这个没有,希望懂的老师不吝赐教,或者给链接,谢谢了。

how to do Conjunction analysis

老师您好:
     想请教conjunction analysis在SPM里是如何的操作的。比如说:我要研究brain metabolism和cognitive的相关性,并且把age作为混杂因素控制。那么我在SPM里选择mutiple regression ,输入age cognitive, 输入的contrast为 0 1, 还有负相关 输入 0 -1 ;同理我要研究metabolism与depression相关,仍然把age作为混杂因素,输入的contrast是0 1 还有 0-1.

Unable to use ResMS.img for Alphasim

Hi everyone,

I am unable to use ResMS.img to run Monte Carlo simulation. Below is the error message that I got:

Undefined function or variable "testFlag".
 
Error in rest_Smoothest_gui>Comput_pushbutton_Callback (line 207)
if strcmp(testFlag,'Z')
 
Error in gui_mainfcn (line 95)
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