DPABI/DPARSF Stand-Alone Version

 

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LabelMap an user friendly plugin to present rest-fMRI images computed with DPABI

LabelMap is a plugin software for DPABI to present rest-fMRI images computed with DPABI  in an easy-to-use layout format.

 

 

 

LabelMap was developed in May 2019 by PhD. Ing. G. Parla and Prof. Dr. G. Sparacia at NeuroLab - Palermo, Italy

Click here to view a video demonstration of LabelMap at work https://youtu.be/dF3KEwRhZaU

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Why

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:)

Error information about two sample t-test of dynamic ALFF

Dear Prof. Yan,
 
When I did two sample t-test of dynamic ALFF, the error information showed as follows,
 
Reading images from "F:\exp\ALFF_sub_10001.nii" etc.
Assignment has more non-singleton rhs dimensions than non-singleton
subscripts
Error in y_ReadAll (line 109)

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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?

Concordance_VolumeWise results

Dear  Prfo. Yan and Colleagues,

Hi! There are NaN in the results of Concordance_VolumeWise in some subjects. How can I solve this problem? Thanks!

Best wishes,

Lotus

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The interpretation of the TFCE results

Dear Prof. Yan,
 
I would like to know how the TFCE results can be used, the names of the files are listed as follows. 
 
T2_vox_tstat_uncp
T2_vox_tstat_fwep
T2_clustere_tstat
T2_clustere_tstat_fwep
T2_tfce_tstat
T2_tfce_tstat_uncp
 T2_tfce_tstat_fwep
 
Thank you!
 
Best wishes,
 
Lotus

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计算REHO和ALFF前是否需要去全脑信号?

 
各位老师,我在同一项研究中,功能连接的组间差异结果是基于去除全脑信号的文件得出的。现在又要补充分析ReHo和Alff的结果,是否应该继续使用去除全脑信号的文件进行分析?
 
我查看到DPABI自动生成的ResultsS下面的文件,smReHo代表(除全脑均值, Zang et al., 2004)或szReHo代表 (减全脑均值,除全脑标准差,Zuo et al., 2013).这两个结果本身会对全脑均值进行处理?所以有些疑惑了。如果我用去除全脑信号的文件进行分析是否会对结果造成影响?所以是否还是应该使用包含全脑信号的文件进行处理?但是又是否会因为功能连接的结果是基于去除全脑信号的文件得出的,而使审稿人疑惑?
这种情况下如何决策比较好?

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