DPABI/DPABISurf/DPARSF

Dear DR YAN

Hi:

I want to make a gray matter mask with GM probabilities greater than 20%. I've found there are brainmasks in REST, but I don't know whether they are gray matter masks or whole brain masks and what interpolating thresholds  were used. Would you plese teach me how to make a Grey Matter mask by using REST or dpabi? Thanks a lot!

Hello,

I don't quite understand the conceptual difference between these outputs of the Functional Connectivity option. Both have as many rows as there are time points. Is it correct that "ROI_FCMap.txt" is the average correlation between the ROI and the rest of the brain at each time point and "ROISignals.txt" is the average activation of the ROI at every time point? Also are these numbers already z-transformed or not?

Thank you so much for your help!

Lisa

Dear DPARSF experts

I face the following error. What should I do? (I use matlab 2015a and spm 12)

Dear experts,

I am new to DPARSF A and I would like to use this software to analyse resting state data from a series of subjects.

After having set all the parameters and prepared the data in the required way, I tried to run the software from the gui but I get the following error:

Hi,

just found out, that when using Dartel the Group mask as created with the GroupMask tool with DPABI shows holes, i.e. missing/empty voxels.  The indivual wAutoMask-files for the subjects also have those holes. 

Solution seems to be to smooth the wAutoMask files, which gets rid of the holes  and the GroupMask looks fine thereafter. 

Just something that can be considered in next releases :)

greetings

Hi experts,

I have a question about AlphaSim correction and how to correclty apply a threshold. I'm pretty new to the field, so my question might be very simple for you.

Basically I'd like to apply a threshold o voxel p 0.005, cluster p 0.05 to my T map.

Once I've loaded my T image on the viewer, I've opened alpha sim option and selected a mask and voxel p value (0.005), I run alpha sim and I get my txt output. At this point I look for alpha 0.05 and use the cluster size indicated in the same line as minimum cluster size using the option 'set cluster size'.

Hi,

Is there a way to turn off the warning message, that gives notification when no co-images (the cropped and reoriented from the dcm2nii) were found? That would be very helpful, because I have to preprocess a lot of datasets and did not reorient my strucutural images and it is cumbersome when the preprocessing stops because of the warning message and I have to manually press yes to continue. When I run some preprocessing over night it is especially inconvenient when the preprocessing does not go on automatically :(. 

Hi. Dr. Chao-Gan Yan

I am Seungnam 

I am analyzing the rFMRI data using DPARSFA progrm. Thank you for good program.

I am using the subfunction of Functioanl connectivity and Degree Centrality of DPARSFA.

I understand that Degree Centrality means functional connectivity strength, that is global functional connectivity density. Am I right?

How do you calculate the Degree Centrality?

Could I know the equation of Degree Centrality and it's reference?

I already had a Buckner et al. 2009 and Zuo et al. 2012. But still not clear the concept.