Applying High-pass filtering with DPARSFA 5.0

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?

Applying High-pass filtering with DPARSFA 5.0

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?

请问DC指标可以用于任务态数据的分析吗?

请问一下各位老师,DC(度中心性)这一指标可以用于Task-related fMRI数据的分析吗?预处理的时候有什么特别需要注意的地方?

statistical analysis

Hi,

In the training course of statistical analysis, we are told to apply tfce+PT.

But can I use the tfce+FDR instead? 

I wonder which one is better, tfce+PT or tfce+FDR?

Thanks,

Bin

paired t-test

Dear all,

I uniformly parcellate the GM binary mask of size 61*73*61 into 6k parcels. Each parcel is a 2*2*2 cube.

So my feature is built on parcel-level for each subject.

Can I apply the paired t-test statistical pipeline in the DPABI software?

Or do I need to get back to voxel-level feature in order to use this pipeline?

Thanks!

 

Forums:

DPABI V4.3, DPABISurf V1.3 and DPARSF V5.0 were released!

Dear colleagues,
 
We are pleased to announce the release of DPABI V4.3, DPABISurf V1.3 and DPARSF V5.0.
 

How to use ADNI's data ?

Dear Labs ,

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

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

用dpabi处理被试的灰质报错

 

尊敬的严教授及团队成员,

Functional Connectivity Statistical Analysis

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?

DPABI计算功能连接

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:

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