DPABI V7.0 (together with DPABIFiber V1.0 and DPABISurf V2.0) were released!

Dear Colleagues,

We are pleased to announce the release of DPABI V7.0 (together with DPABIFiber V1.0 and DPABISurf V2.0)!

New features of DPABI_V7.0_230110 (download at http://rfmri.org/dpabi, please also update the docker file by: docker pull cgyan/dpabi):
1. DPABIFiber 1.0.
DPABIFiber is a fiber tractography analysis toolbox based on diffusion-weighted imaging (DWI), evolved from DPABI/DPABISurf/DPABINet/DPARSF, as easy-to-use as DPABI/DPABISurf/DPABINet/DPARSF. DPABIFiber is based on QSIPrep (Cieslak et al., 2021), MRtrix3 (Tournier et al., 2019), AFQ (Yeatman et al., 2012), fMRIPprep (Esteban et al., 2019), FreeSurfer (Tustison et al., 2014), ANTs (Avants et al., 2009), FSL (Jenkinson et al., 2012), SPM12 (Ashburner, 2012), dcm2niix (Li et al., 2016), PALM (Winkler et al., 2014), GNU Parallel (Tange, 2011), MATLAB (The MathWorks Inc., Natick, MA, US), Docker (https://docker.com) and DPABI (Yan et al., 2016). DPABIFiber provides a user-friendly graphical user interface (GUI) for pipeline DWI preprocessing, fiber tractography reconstruction, tract-based spatial statistics (TBSS) (Smith et al., 2006), automating fiber-tract quantification (AFQ) (Yeatman et al., 2012), structural connectome matrix analyses, seed-based structural connectivity analyses, and tract-weighted functional connectivity (TW-FC) (Calamante et al., 2013), while requires no programming/scripting skills from the users. Please see more details at: http://rfmri.org/DPABIFiber
2. DPABISurf 2.0.
2.1. Back engine updated to fMRIPrep V22.1.1, thus using FreeSurfer 7.
2.2. Added new mode: Calculate in Native Space. The processed results in native space also fits better to the TWFC analyses with DPABIFiber Pipeline.
2.3. Could segment subregions (Thalamus, Hippocampus, Amygdala and Brainstem) with FreeSurfer 7.3. 
2.4. Could use FastSurfer instead of FreeSurfer to perform surface construction.
2.5. Could add wildcard strings in Defining ROIs.
2.6. Could select ROI Indices for specific ROI files.
2.7. Could delete first time points if start with BIDS.
2.8. Could detect TR if start with BIDS or fmriprep.
3. DPARSF 5.4.
3.1. Could add wildcard strings in Defining ROIs.
3.2. Could select ROI Indices for specific ROI files.
4. Statistical Analysis. Added option of TFCE2D for TBSS and surface-based statistical analysis.
5. y_ReadRPI. Fixed a bug in calculating new origin when flipping axes.
Chao-Gan YAN, Ph.D.
Professor, Principal Investigator
Director, International Big-Data Center for Depression Research
Director, Magnetic Resonance Imaging Research Center
Institute of Psychology, Chinese Academy of Sciences
16 Lincui Road, Chaoyang District, Beijing 100101, China