当已经做完normalization评分之后，想从quality control里面再次打开查看所有narmalization评分时，出现报错如下，并且导致后面步骤中，打开查看功能像、结构像评分以及控制头动等步骤均报错。
严老师您好！
向您请教一个问题，我用运行着docker的windows 10专业版系统，用基于matlab的dpabi，用网站上下载的练习dpabisurf的demo数据，按照dpabisurf的默认设置运算，跑了几次，都是出同样的问题：尽管matlab的窗口显示在忙，但工作文件的大小超过24小时没有变化，检查fmriprep/sub-Sub001/log文件下的crash，内容如下（试跑了几次，报的都是这个内容）：
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