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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 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.

rest

老师您好,我刚刚开始学习应用这些软件。看了您的视频教程,在用REST处理原始数据的时候,选择REST—UTILITIES__REST DICOM SORTER,选择文件之后,不在空白那里出现,点击RUN,之后就出现这个
 
那个后缀名三种都试过,IMA,dcm,none都是这样结果。后来直接用光盘里面的数据也是这样。请问老师这是哪里出错了呢?多谢老师指教
另外,如果不用rest批处理的话,还可以用什么软件做批处理的呢?
再次感谢老师指教

回归与方差分析协变量问题请教各位老师

各位老师好,
我有一个关于三组病人单因素三水平方差分析FA的问题,考虑到年龄可能对白质改变起影响,所以就想在做方差分析的时候设年龄为协变量。之前试验性地比较了有无协变量情况的主效应,发现F-map还是不一样的。

首先,我不是很确定这算不算协方差分析。
其次,如果按照协方差的分析,前提需要满足年龄这个协变量与三组病人图像的回归系数,也就是斜率是一致的,才可行协方差分析。
第三,如果要评价三组病人图像跟各自年龄的回归系数,该在SPM里怎么操作?另外,如果三者的回归系数不一致,也就是说三条回归方程线有交叉,那我应该怎么处理年龄这个因素呢?
最后,如果在anova当中加了年龄做协变量,那么在随后的组间比较(事后分析)的时候,我还需要在T检验的时候加每两组的年龄作为他们的协变量吗?

不知道表述的清不清楚,问题有点繁琐,先谢谢各位老师啦~