Predefined Types:

Failed Model Estimation --- There is no significant Voxels ?

During Preprocessing of Image Data, many of us face problem of Model Estimation and failed to extract significant voxels,  i raised this question on the forum of Researchgate,  i am sharing it here, so anyone facing problem of Model Estimation may find useful answers and methods to overcome this problem.   heres the Link:  


Thank You

Tamoor Malik

Yunnan University



some questions regarding the preprocessing steps

Hi experts,
I am using DPABI to perform Functional Connectivity. I have some questions regarding the preprocessing steps.
1)Does Preprocessing steps order matter for performing Functional Connectivity analysis? and which are the recommended preprocessing steps? because I have seen different groups used different steps order (e.g., FunImgARWCSDFB, FunImgARCFWS, FunImgARCWSF, etc)


While I input the data for fMRI into DPARSF in matlab, then clicked "run" button, outcomes could not be produced. Warnings often pop out . what are  the reasons?  look forward to  expertise:)

Asking Professor Yan for advice from a doctor

   Using the DPARSF for first time, I have few knowledge of  it.
    so confusions as follows exist:
   I have a query on whether basic version of DPARSF could process all signals for fMRI well? 
   Where the advanced vesion of DPARSF can be downloaded?


Hello, thank you for the wonderful effort at packaging the surface and volume based processing pipelines into one package.

One quick request for the package - Please include the RSFA measure

Error in timepoints for preprocessed data in DPARSF V2.1

Dear Expert,

I am running rs-fMRI demo data provided on your website for 3 subjects on DPARSF V2.1  for ALFF and ReHo calculation. I preprocessed data till smoothing on SPM12 running on Matlab R2016a. After preprocessing I put all the data in FunImgNormalizedSmoothed folder. For detrending and filtering when I use DPARSF V2.1, I am getting an error for timepoints (screenshot attached). 

Any help would be appreciated.

DPABI output- ROIsignals.text differences

Dear Experts,
I re-ran 2 subjects through DPABI using the same parameters and ROIs that I used for the same two people that I ran as part of a larger group ( n=50).
When I compare the output folders FunImgARCFWS_ROISIGNALS/ROISIGNALS_subjectx of the same person, the ROI time courses look very different, even though I used the same parameters as before.
Would you know why that is? I can only imaging that in my prior analysis these two subjects were run as part of a different group? Does the ROISignals .text output gets normalized according to the included subjects?

error when use Permutation test



我使用的dpabi版本是V3.1, MATLAB2017,WINDOWS 系统。


error after slice timing



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