DPABI V3.1 and DPARSF V4.4 are released!

Submitted by YAN Chao-Gan on
Dear colleagues,
 
We are pleased to announce the release of DPABI V3.1 and DPARSF V4.4.
 
New features of DPABI_V3.1_180801 and DPARSF_V4.4_180801 (download at http://rfmri.org/dpabi):
 
1. Added a prompt of "Congratulations, the running of DPARSFA is done!!! :)" when DPARSF finishes its processing.
 
2. Added a new atlas (Schaefer2018_400Parcels_7Networks_order_FSLMNI152_1mm.nii) to the V4 parameters. Please see more details at Schaefer, A., Kong, R., Gordon, E.M., Laumann, T.O., Zuo, X.N., Holmes, A.J., Eickhoff, S.B., Yeo, B.T.T., 2017. Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI. Cereb Cortex, 1-20.
 
3. The dcm2nii has been updated to the latest version in courtesy of Dr. Chris Rorden. See: Li, X., Morgan, P.S., Ashburner, J., Smith, J., Rorden, C., 2016. The first step for neuroimaging data analysis: DICOM to NIfTI conversion. J Neurosci Methods 264, 47-56.
 
4. As there were some parallel computing issues in calling outside command, the callings were no longer using parallel computing (i.e., downgrade from parfor to for). These includes the callings of dcm2nii and bet. 
 
5. Flexibility for concordance was added to the module of Temporal Dynamic Analysis (DPABI_TDA). Users can freely calculate the concordance of any combinations of ALFF, fALFF, ReHo, Degree Centrality, Global Signal Correlation and VMHC.
 
6. Fixed some compatibility bugs with higher versions of MATLAB. For example, Time Course error in DPABI_VIEW; uimenu parent problem when calling monkey/rat module; errors regard generating pictures for checking normalization in DPARSFA.
 
7. Tips for calling "bet": You should start matlab from terminal (e.g., Linux: matlab; Mac: open /Applications/MATLAB_R2018a.app/). If you installed FSL5.0, you may also need to run this: source /usr/share/fsl/5.0/etc/fslconf/fsl.sh. In addition, in some Linux versions, you may need to start matlab in this way: LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libstdc++.so.6" matlab.
 
 
Best,
 
Chao-Gan
 
--
Chao-Gan YAN, Ph.D.
Principal Investigator
Deputy Director, Magnetic Resonance Imaging Research Center
Institute of Psychology, Chinese Academy of Sciences
16 Lincui Road, Chaoyang District, Beijing 100101, China
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Hello, I downloaded the newest version and am currently processing some data. With the previous version, the dcm2nii conversion would take 25-30 minutes for ~60 subjects (using 12 cores). But now the Matlab screen shows some statements like below- and after 30 minutes only 12 subjects' data has been converted. I am using Matlab R2015a.

FFFE,E000,Image Fragment [0@3938]= Offset3938 Length0
FFFE,E000,Image Fragment [0@814]= Offset814 Length0
FFFE,E000,Image Fragment [0@962]= Offset962 Length0
FFFE,E000,Image Fragment [0@3938]= Offset3938 Length0
FFFE,E000,Image Fragment [0@814]= Offset814 Length0
FFFE,E000,Image Fragment [0@962]= Offset962 Length0
FFFE,E000,Image Fragment [0@3938]= Offset3938 Length0
 
Should I change some MATLAB setting? or is this normal?
 

 

thank you.

dcm2nii was updated in this version.

A solution is copy the folder of "DPARSF/dcm2nii" in an older version of DPABI to overwrite the folder in the new version.

I would wait for more feedback to see if we need to rollback.