DPABI/DPABISurf/DPARSF

DPARSF Cov_regression produces weired images

Submitted by LLF on

Dear Dr. Yan,

I am using DPASFA v4.3 to run resting-state image, within the step : ARSWDCF. The detrended images are good, but something goes wrong after the regression.  Bellowing are the settings I used, the Detrended image, and Detrended + Covregessed .  If I put the cov_regressed images into ICA, it will produce even more weird results.   

Applying High-pass filtering with DPARSFA 5.0

Submitted by JulianG on

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

Submitted by JulianG on

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

Submitted by JulianG on

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?

Functional Connectivity Statistical Analysis

Submitted by schlaugummi on

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?