DPABI/DPABISurf/DPARSF

各位老师们好，

Dear colleagues,

I hope you are fine. I am doing a test of rs-MRI analysis of one subject using DPABI and aftr the step of reorientation I got this message

尊敬的严教授，您团队啥时候DTI的处理模块呢

各位老师，请问TR一致，Time points不一致的影像数据可以比较吗？比如Alff，Reho，DC，用他们的Z值图可以直接contrast吗？

Hello, 

Dear all,

In the statistical analysis, we need to choose a binary mask.

What kind of binary masks I can apply? If I turn to the group-wise GM mask, it seems there're too many comparisons, leading to failure in the tfce+fwe correction (p<0.05).

Can I use the |Z|>2 of the Z map as the binary mask instead to reduce the number of comparisons?

Thanks!

Dear Dr. Yan,

I am using DPASFA v4.3 to run resting-state image, within the step : ARSWDCF. The detrended images are good, but something goes wrong after the regression.  Bellowing are the settings I used, the Detrended image, and Detrended + Covregessed .  If I put the cov_regressed images into ICA, it will produce even more weird results.   

各位老师好，我有一批影像数据，扫描时顶叶没有cover全，那么用DPABI进行流程化操作计算DC时，这部分脑区是否还是参与了DC指标的计算？如何解决这一问题呢？

Hi,

1) I need to High-pass filter my data. Since my TR is 1.3 (multiband sequence), I simply typed [0.01 - 0.3] in the GUI. Is it safe enough? Or maybe should I do anything else?

2) Also,  I wonder whether there is any difference between filtering the data from the GUI's preprocessing section (which is my case, please see attached image), and filtering  from the FC section.  

3) Open question, from which I do not expect bynary (do/don't do ) answers.  Just, opinions:  How about not filtering rs-fMRI data?

Hi,

1) I need to High-pass filter my data. Since my TR is 1.3 (multiband sequence), I simply typed [0.01 - 0.3] in the GUI. Is it safe enough? Or maybe should I do anything else?

2) Also,  I wonder whether there is any difference between filtering the data from the GUI's preprocessing section (which is my case, please see attached image), and filtering  from the FC section.  

3) Open question, from which I do not expect bynary (do/don't do ) answers.  Just, opinions:  How about not filtering rs-fMRI data?