DPABI/DPABISurf/DPARSF

Global_Signal_Regression_and_Degree_Centrality

Submitted by l5583325 on

Hi! Dr.YAN

I am doing a degree centrality study with the help of Dpabi.

Significant and desired group difference have been found, if we do not regress out the GS.

Different threshold for connectivity (0.2;0.3;0.4) and scrubbing or not have been used to test the effects of preprocessing options on the results. Group difference are stable.

Yet, GSR(Global Signal Regression) dramaticlly changes those results. We can not find similar results even using the ROI method.

Why couldn't DPARSFA identify 4D files in pairs(.hdr, .img)

Submitted by liq2005liq on

Hi, Chao-gan

I found that DPARSFA could not identify 4D  files in pairs(.hdr, .img). It only identify them as one time point. It maybe not convenient for someone who want to use DPARSFA to do data processing of   4D  files in pairs(.hdr, .img). Should it be a bug?

Whatever, I just let you know this phenomenon. Thanks.

Best

Qiang

error message when using statistical analysis module in dpabi

Submitted by yaqiong on

Hi everyone,

I try to use the statistical analysis module in dpabi, but it always reports some error information when it comes to text covariates regression. I have no idea what is the problem and how to solve it. Could you please help me to cheek up the problem? Thanks in advance.

The error information is as following:

Undefined function or variable 'dLH'.

Error in y_Smoothest (line 86)
fprintf('DLH %f voxels^-3 before correcting for temporal DOF\n',dLH);

Problem with nuisance covariate regression

Submitted by Dina Dajani on

Hello,

When I regress nuisance covariates (linear trends, Friston 24, and WM & CSF with 99% subject specific maps) the resulting image is completely blank with no brain. When I do this same nuisance covaraite regression but instead choose the WM & CSF a priori SPM maps, it works fine and I am able to finish the preprocessing correctly.  But, for my analyses I would prefer to use the subject-specific maps.  What may be going wrong here?  Thank you for any advice.

 

Best

Dina Dajani