DPABI V6.0 and DPABINet V1.0 were released!

Dear colleagues,
We are pleased to announce the release of DPABI V6.0, DPABINet V1.0, DPABISurf V1.6 and DPARSF V5.2.
New features of DPABI_V6.0_210501 (download at http://rfmri.org/dpabi):
1. DPABINet V1.0 released! 
DPABINet is a toolbox for brain network and graph theoretical analyses, evolved from DPABI/DPABISurf/DPARSF, as easy-to-use as DPABI/DPABISurf/DPARSF. DPABINet is based on Brain Connectivity Toolbox (Rubinov and Sporns, 2010) (RRID:SCR_004841), FSLNets (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLNets; RRID: SCR_002823), BrainNet Viewer (Xia et al., 2013) (RRID:SCR_009446), circos (Krzywinski et al., 2009) (RRID:SCR_018207), SPM (Ashburner, 2012) (RRID:SCR_007037), PALM (Winkler et al., 2016), MATLAB (The MathWorks Inc., Natick, MA, US) (RRID:SCR_001622), Docker (https://docker.com) (RRID:SCR_016445) and DPABI (Yan et al., 2016) (RRID:SCR_010501). DPABINet provides user-friendly graphical user interface (GUI) for Brain network construction, graph theoretical analyses, statistical analyses and results viewing, while requires no programming/scripting skills from the users.
With DPABINet, users can easily generate images as follows:
2. DPABISurf V1.6.
2.1. Can use individual ROI definition files for each subject. The first line of the ROI definition file should be: 'Seed_ROI_List:'. An example SeedROI.txt:
2.2. Fixed a bug in dealing with multiple sessions of FieldMap.
2.3. Allow skipping subjects in TRInfo.tsv.
2.4. The surface for ReHo calculation were changed from pial to white.
3. DPARSF V5.2.
3.1. Users can threshold subjects with bad quality after reorienting.
3.2. Allow skipping subjects in TRInfo.tsv.
4. DICOM sorter added new layout and show demo.
5. A BIDS converter was added. DPABI->Utilities->DPABI BIDS Converter. Users can also deface the T1 Images before converting to BIDS. This module is good for sharing BIDS data, and is compatible with Brain Imaging Sharing Initiative: http://bisi.org.cn.
6. As suggested by Dr. Andrew Zalesky, the functional subcortical atlas "Tian2020_Subcortex_Atlas" was added. Ref: Tian, Y., Margulies, D.S., Breakspear, M., Zalesky, A. (2020). Topographic organization of the human subcortex unveiled with functional connectivity gradients. Nat Neurosci, 23(11), 1421-1432, doi:10.1038/s41593-020-00711-6.
7. A function get_components.m within the Network-based statistic (NBS) toolbox was added with Dr. Andrew Zalesky's permission. Ref: Zalesky, A., Fornito, A., Bullmore, E.T. (2010). Network-based statistic: identifying differences in brain networks. Neuroimage, 53(4), 1197-1207, doi:10.1016/j.neuroimage.2010.06.041.
8. Brain Connectivity Toolbox (BCT) was redistributed within DPABI with Dr. Mikail Rubinov's permission. Ref: Rubinov, M., Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. Neuroimage, 52(3), 1059-1069, doi:S1053-8119(09)01074-X [pii] 10.1016/j.neuroimage.2009.10.003.
9. DPABI now is compatible with Dr. Mingrui Xia's latest version of BrainNet Viewer. Ref: Xia, M., Wang, J., He, Y. (2013). BrainNet Viewer: a network visualization tool for human brain connectomics. PLoS ONE, 8(7), e68910, doi:10.1371/journal.pone.0068910.
Chao-Gan Yan
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