DPABI/DPABISurf/DPARSF

严老师以及各位老师，你们好。我在用DpabiSurf来跑被试者功能连接的时候遇到一个问题，之前用Dpabi计算FC的时候可以用Mask来定义ROI，这里的Mask是nii文件。那么现在我用DpabiSurf来计算FC的时候以前的Mask还适用吗？我看视频教程里面使用的Mask是gii格式的。如果需要使用gii格式的Mask，我应该去哪里获取呢？比如我想要计算海马与其他脑区的FC，我应该如何设置ROI。希望能得到你们的回答，非常感谢。

Dear Experts,

I would like to use dpabi for a functional connectivity analysis using an ROI approach. I have two subject groups and I want to conduct a region to region connectivity analyses based on the ROI_FC maps off line.

 I have done two analyses to check my data : 1) I have run both subject groups separately through the dpabi pipeline and 2) I also ran the data of both groups ( as one single group) through the dpabi pipeline. When I looked at a single subject ROI_FCMap file, the connectivy maps have  different values between these analyses.

Dear DPARSFA team,

first, I would like to thank you for your efforts with DPABI, I enjoy working with the toolbox. I hope I’m not sending questions that were already discussed and solved in the forum that I just hadn’t seen.

I encountered two problems for which I am kindly asking for advices.

1.请问各位老师，任务态fMRI为什么一般是在一阶分析的时候做高频滤波，而静息态fMRI一般是在预处理的时候做低频滤波？

2.为什么任务态fMRI一般是在一阶分析的时候加入头动变量，而静息态fMRI是在预处理的时候去除？

3.为什么任务态fMRI在预处理的时候一般不去除白质、CSF等信号？

Hi, 

I'm a beginner user of Dpabi and DPARSF.

now I'm trying to preprocess fMRI data using DPARSF.

After a few attempts, I finished the process, but I think the results seems little bit strange(preprocessing step-attached photo)

I found that there would be  no error message during the process. 

Hi. I'm a new user of Dpabi and Dparsf for investigating FC of brain network. 

I have a question about preprocessing steps using DPARSF. 

I want to acquire both GSR(Global signal regression) processed data and no-GSR processed data.

So, in Dparsf, I selected 'Both with & without ~' in Nuisance regressors(WM, CSF,Global) section. (attached photo)

But, the results only shows that the data contain only no-GSR processed data. (attached photo)

My desktop OS is Windows 10. 

Hi

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze

Hi

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze

Hi

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze

Hi

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze