DPABI V2.1, DPARSF V4.1 and The R-fMRI Course V2.1

Dear colleagues,
We are pleased to announce the release of DPABI V2.1, DPARSF V4.1 and The R-fMRI Course V2.1.
New features of DPABI_V2.1_160415 and DPARSF_V4.1_160415 (download at http://rfmri.org/dpabi):
1. DPARSF V4.1_160415 released.
1.1. Fixed a bug in DPARSF Basic Edition. The bug is that the white matter signal is always removed in nuisance regression (only exist in the Basic Edition).
1.2. DPARSF Advanced Edition: Add an option of “Add mean back” for nuisance regression. The mean will be added back to the residual after nuisance regression. This is useful for circumstances of ICA or task-based analysis.
1.3. DPARSF Advanced Edition: Re-run with global signal regression (DPARSFA_RerunWithGSR). Fixed a bug when “Remove first X time points” was defined, the number of time points will be adjusted accordingly now. Thanks to the report of Hua-Sheng Liu.
1.4. DPARSF Advanced Edition: Add a slice timing batch mode for MultiBand data. Users could specify a text timing file for a given participant in SliceOrderInfo.tsv. Please see http://wiki.rfmri.org/SliceTiming for more details.
2. DPABI Results Organizer (under “The R-fMRI Maps Project”): also save the text version of ROI signals.
3. Dual Regression added (under Utilities). Define a map, then regress the map on the 4D data for a participant, thus get a time series. Variance-normalize the time series, and then regress on the 4D data, thus get the dual regression map.
4. DPABI Image Calculator (under “Utilities”). Syntax changed, now includes: g1.*To4D((i1>2.3),100) Make a mask (threshold at 2.3 on i1) and then apply to each image in group 1 (group 1 has 100 images).
5. Donsenbach 160 ROIs were merged into a single mask file (Dosenbach_Science_160ROIs_Radius5_Mask.nii).
6. Fixed a bug in y_GroupAnalysis_Image: CovVolume read error.
7. Add "MultiSelect" Mode when user selected "Add Image" for several GUIs.
8. DPABI Image Calculator (under Utilities): Fixed a bug when removing image or directory. Now, when you remove the item, the identifier will be re-ordered.
9. DPABI Viewer: Added a colorbar mode for DPABI_VIEW, when you add "+" or "-" flag at the end in "Add Overlay's Colorbar" entry, DPABI_VIEW will use full colormap to display the overlay.
New components of The R-fMRI Course V2.1 (available at http://rfmri.org/Course):
I. Resting-State fMRI: Algorithms, Applications to Brain Disorders and Data Processing (Or Dr. Yu-Feng Zang's talk: Brief Introduction of Resting-State fMRI)                 
II. Resting-State fMRI: Principles of Data Processing and Introduction to DPARSF                 
III. Resting-State fMRI: Quality Control, Standardization, Statistical Analysis, Results Viewing, The R-fMRI Maps Project and Introduction to DPABI                
IV. Introduction to DPARSF Basic Edition  
In addition, We have created a wiki website for DPABI (http://wiki.rfmri.org), that all the users (registered at the R-fMRI Network) can edit any item of the wiki, gradually forming a detailed knowledge base for DPABI and R-fMRI by the community effort.
With the advances of DPABI and DPARSF, we hope researchers/users could join our effort of the R-fMRI Maps Project (a key component of the Human Brain Data Sharing Initiative, HBDSI). The aim of the R-fMRI Maps project is to build a big data of intrinsic brain activity indices, which has the potential to allow us addressing critical questions about the brain. We have shared a broad array of the R-fMRI indices of open R-fMRI data (through a standard processing pipeline built in DPABI/DPARSF), and encourage researchers share their processed R-fMRI indices to public through the R-fMRI Maps project. Simply download and utilize the shared data, or share your data after processing with DPABI/DPARSF’s default settings.
If you have further questions, please refer to http://rfmri.org/RfMRIMapsDiscussion to discuss.

Chao-Gan YAN, Ph.D.
Principal Investigator
Deputy Director, MRI Research Center
Institute of Psychology, Chinese Academy of Sciences
16 Lincui Road, Chaoyang District, Beijing 100101, China