DPABI/DPABISurf/DPARSF

When processing my data for one subject, I ended up with a lot of noise in the FunRawARglobalCWS folder when I expected the data to be cleaner. Does this have something to do with the fact that the NIFTI files are in 4D rather than 3D? I attached a screenshot of the image below. The DPARSFA settings that I am using are also attached. When reorienting the functional and T1 NIFTIs, my process is to put in -45 and -25 to center the image on the viewer then pressing "Reorient", is this correct? Final question: can you tell me what each of the folder-names mean?

Dear experts,

I am trying to perform an ALFF analysis with dpabi. I want to introduce the GM volume as a covariate in the two-sample t-test.

I think that I have to introduce this covariate in "covariate images" option in the statistical analysis, but What kind of images should I use?

I have the segmented and dartel images for all subjects, but I don't know if these images are the correct ones.

Best,

Juan

Dear experts 

I preprocessed dicom files from FunRaw to smoothed ReHo image by DPARSF. The whole process was error-free, but the bottom regions of the szReHo image including cerebellum and pons were shown  as  black. I think there was a problem with preprocessing, but I do not know exactly what the problem is. I attached files created during preprocessing. I would like to ask you for your expert advice. Thank you

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Dear all,

I am trying to do some of ALFF and fALFF analysis in resting -state, but I don't know if I am proceeding well. I just want to compare the activity in resting-state beteween two groups. Similar to this paper from Wang, Human Brain Mapping 32:1720–1740 (2011).

I did all the pre-processing in SPM and now I want to use this images for ALFF. 

Hi,

Hi All,

I just wanted to share my experience about an error I got in DPARSF in case anyone else comes across it or in case the DPARSF creators want to fix this in future versions.

I have been running DPARSF jobs and they seem to fail a portion of the time somewhere after the initiation of the BET step.

Before this step, DPARSF requires user input (in my batch at least) saying "No co* images found" or something along those lines.

Dear Yan,

Although I am still learning, I am very happy with your software for the resting state analyses.

However, I have a doubt. I performed the FC analyes considering the ROI1. Then, I used SPM to compare two groups G1 and G2. At the whole brain, I obtain a significative difference between the two groups in the cluster C1.

In DPARSF, "Extract ROI time courses" can extract the ROI time courses from the defined ROIs, as stored in: ROISignals in {WorkingDir}/Results/ROISignals_FunImgARCWF/ROISignals_Sub_001.mat

"Functional Connectivity" analysis can also extract the ROI time courses, as stored in: SeedSeries in {WorkingDir}/Results/FC_FunImgARCWF/ROI_FCMap_Sub_001.mat