The human brain is one of the most complex network systems in the universe, consisting of about 1011 neurons and about 1015 connections. Since the human brain is a highly integrated and cooperating complex system, studying the functional integration between different brain regions is crucial for understanding the information interaction between brain regions and the coordination between brain networks. In order to facilitate brain network research, Dr. Chao-Gan Yan’s team (The R-fMRI Lab) developed a free and open source software DPABINet. DPABINet V1.1 has been released with DPABI V6.1, which can construct brain network, calculate graph theoretical analysis indices, perform statistic analyses and present brain network images.
In addition, to better construct the brain network, we recommend using DPABISurf for surface based preprocessing. DPABISurf is a surface-based resting-state fMRI data analysis toolbox evolved from DPABI/DPARSF, as easy-to-use as DPABI/DPARSF. DPABISurf is based on fMRIPrep, FreeSurfer, ANTs, FSL, AFNI, SPM, dcm2niix, PALM, GNU Parallel, Docker and DPABI. DPABISurf provides user-friendly graphical user interface (GUI) for pipeline surface-based preprocessing, statistical analyses and results viewing, while requires no programming/scripting skills from the users.
The use of DPABINet and DPABISurf is as simple as DPABI software, here we are pleased to release a free online course to make users proficient in DPABINet brain network analysis in the most correct and effective way. Please visit http://rfmri.org/Course#DPABINet for The DPABINet Brain Network Open Course!