DPABI/DPABISurf/DPARSF

如何处理同一被试重复扫描的结果?

Submitted by Aoling on

实验中我对同一被试进行了两次重复扫描,并用DPABI对这两组数据分别进行了计算,得到了RESULT和S2_RESULT。请问我在统计时应该如何处理这两组数据呢?请问下述的方案可行吗?或者有其他的办法。

1. 把重复扫描的结果当成独立的样本进行统计

2. 取同一被试计算结果的均值进行统计

3. 分别统计看哪个结果更好

multiband 数据预处理错误

Submitted by muzhi on

老师:

您好!

我是DPABI的初学者,我用的是DPABI3.1,matlab2014b,spm12.

想请教几个问题:

1、在设置time points和TR为0后得到的TRInfo.tsv文件打开得到的time points 是1,但实际time points是150,请问为什么会出现这种情况?

2、在转dicom文件为nifti之后进行其他处理时,无论设置time points为1还是150,都会出现如下错误

   

请问该如何解决?

3、multiband数据如何设置slice number和slice order以及reference slice?

 

 

Issue with DPARSF concering preprocessing

Submitted by Letizia on

Good morning,

I am an intern at Ghent University and I am trying to use DPARSF to preprocess my data. Actually, they have already been preprocessed by my colleague, but they still need to undergo some further steps (detrending, filtering, ...). I downloaded DPABI and DPARSF on my computer, I set the paths (I added DPABI and DPARSF with subfolders on Matlab), I loaded my participants and I set all the parameters on DPARSF, but when I tried to run it, it was giving me this error:

Paired-t test 放入的 Text Covariate, 是否可以當成影響Paired-t test結果的變數 ?

Submitted by Tony Xu on

老師您好!

想請問一下,

當我在分析介入前後,Functional Connectivity的差別時,對同一組人做介入後與介入前相減的paired-t test時,

分別以對應後測與前測放入生理參數(心率變異度的RMSSD)作為Text Covariates

請問這樣所得到paired-t test結果顯著的Cluster,可以解釋為:

1. 介入後所增加的功能性連結會與RMSSD的變化有相關性嗎 (因為是將RMSSD這個前後變化的因素考慮進去所得到的結果)

2. 介入後所增加的功能性連結是排除了RMSSD的變化,所以paired-t test結果顯著的Cluster是和RMSSD這個前後變化的數值沒有關係的

請問一下我對 paired-t test 結果顯著的Cluster的理解應該1.是對的,還是2.是對的呢 ?

謝謝!!

A question about file names of the result

Submitted by 3MCIpawns on

Dear Dr. Yan and DPARSF-users:

After I finished the processing steps in DPARSFA, I found that there are 3 different ROI signal files with ".mat" in the result folder. You can see them in file attachments.

I wonder the difference among them and, if I want to use the time courses of ROIs to make correlation analysis, then which file should I use?

Thank you for considering my request!

Best wishes!