DPABI/DPABISurf/DPARSF

Question about masks for nuisance regression of WM and CSF signal and SPM apriori masks

Submitted by David on

Hi,

I have a small ROI mask like BNST and want to subtract this mask from the white matter segmented files or the subjects before regressing WM signal. I used the normal segmentation procedure (not new segment) and get three different types of segmented WM and CSF -files (files starting with c2..., mc2..and wc2). I need to know which one is used for the nuisance regression in DPARSF when using Segment (instead of SPM apriori) in order to subtract my mask from those files beforehand.

Nuisance Covariates Regression

Submitted by lihong001 on

Dear Chao-Gan,

 I am rerunning a dataset using a relatively older verions of DPABI _V1.2_141101 and spm8. Previously it worked well. This time the pipeline was broken several times. Now at the step of Nuisance Covariates Regression, it stopped again. For this step, for the option of Nuisance setting, I chose white matter, CSF, mask used Segment, method was CompCor with PC number of 5.  Here is the error message:

 Moving Coviables Removed Files: S0076 ok

??? Index exceed matrix dimensions. 

Error in ==> DPARSFA_run>(parfor_body) at 2674

One sample t-test with Rest 1.8

Submitted by Wei on

Dear experts,

I got some problems with Rest 1.8 while doing statistics for fALff. mfAllf-1 files are generated by Rest strictly following the course video. 

1. About mask: If I leave the mask option empty, does it mean that Rest will run the default mask or whole brain? Is there any default mask in Rest programme that I can use?

2. I use DMN mask created by Pickatlas. This mask was tested in SPM before for statistics analysis and it worked well. But when I put it into Rest, It comes back with errors.

Read 3D EPI functional images: "N:\test1\mfALFF-1"...

preprocessing for oblique acquisition of functional images

Submitted by Ekaterina on

Hello,

I would like to ask a very basic question regarding the preprocessing procedure of functional images acguired in oblique axial direction (100%). The check normalization pictures look pretty good.

I am obtaining slightly different results if those images are normalised to EPI or T1, espcially some lack of activation in the very rostral frontal areas?

Do you think that an extra step should be used during the preprocessing of oblique images using dpabi? Reorientation?

Any advice on this issue would be greatly appreciated.

Thanks,

Ekaterina

preprocessing for oblique acquisition of functional images

Submitted by Ekaterina on

Hello,

I would like to ask a very basic question regarding the preprocessing procedure of functional images acguired in oblique axial direction (100%). The check normalization pictures look pretty good.

I am obtaining slightly different results if those images are normalised to EPI or T1, espcially some lack of activation in the very rostral frontal areas?

Do you think that an extra step should be used during the preprocessing of oblique images using dpabi? Reorientation?

Any advice on this issue would be greatly appreciated.

Thanks,

Ekaterina