DPABI/DPABISurf/DPARSF

Dear Labs ,

We have some questions of download from ADNI's data.

As we knew , FunRaw and T1Raw data file format must the same.

Hello everyone!

I'm new to this topic and am struggling with the statistical analysis of my resting state data. Right now I'm testing the toolbox with only two of my subjects. When I try to add the FC-results to the Group images for a two-sample-t-test, it says [464] in front of the pathway (2*116 ROIs for the two subjects) instead of just [2] for the two subjects, as it was displayed in the tutorial. Do I need to organize the FC-results in any way, before I can use them?

Also, is it necessary to use covariate images for the analysis?

严老师您好：

我是学习这方面的新手，把nifit文件经过一系列预处理后选择AAL脑模板，希望得到116*116的功能连接矩阵。但处理后的文件是190（volumn数）*2233（ROI数）的矩阵，我很疑惑，不清楚设置是不是出错了。

这是我设置的面板：

Hello everyone,

I am using DPABI statistical analysis to run Mixed-Effect Linear Model.

These are my groups:

G1C1
G1C2
G2C1
G2C2

I’m not sure how to interpret the interaction effect? What does it represent? Is it the group difference in the change? If so, what is the contrast effects (i.e. change in G1 – change in G2?)

Regards,
Winson

各位老师好，

         我想请问一下，如果是一个被试一个被试进行数据处理的话，要怎么做group mask呢？在进行单样本检验时需要用到的mask不知要使用哪一个。

Hello everyone,

I'm relatively new to analyzing resting-state data and have a problem with quality control. When I try to do the QC on Raw T1/Fun I get the Error message "Cannot find D:\ProcessingDemoData\QC\RawT1ImgQC.tsv". Can anyone help me out? I use Matlab R2019b and the Demo Data to learn how to use DPARSF.

Thanks in advance,

Julia

Dear DPABI experts, 

尊敬的严教授及团队成员，

你们好，非常感谢你们打造了这款软件！

我在使用它时遇到了一点问题（苹果系统），在使用V4模版处理数据时，程序报告了如下错误。

Hi Prof. Yan,

       I have a mask which created based on a previous task fMRI (in MNI space), now I want to transfer this mask to individual space and extract ROI time series of resting data for each subject, I want to know that can DPABI help me to transfer the mask (in MNI space) to individual space? And how can I do this. Thank you very much!