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Dear Colleagues,

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 MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be http://rfmri.org/Course#DPABINet for The DPABINet Brain Network Open Course!

(Mostly recorded at the DPABINet Brain Network Online Training Camp, April 18th ~ 22nd, 2022)

1. Brain Network: Current Research and Methodological Issues             

2. Brain Network: the REST-meta-MDD Project             

3. Brain Network: Applications             

4. Brain Network: Innovation Points             

5. DPABI Data Organization             

6. Surface-Based Brain Imaging Analysis and DPABISurf            

7. Data Processing with DPABISurf            

8. DPABINet: Network Construction            

9. DPABINet: Statistical Analysis and Results Viewing            

10. Graph Theoretical Analysis: Current Research and Methodological Issues            

11. Graph Theoretical Analysis: Applications            

12. DPABINet for Graph Theoretical Analysis            

13. Graph Theoretical Analysis: Statistical Analysis and Results Viewing            

14. Brain Network Analysis: Example of Rumination            

15. DPABINet: Utilities            

Practice 1. DPABISurf Preprocessing            

Practice 2. DPABISurf Results            

Practice 3. DPABINet: Network Analysis            

Practice 4. Display Nodes with Significant Edges            

Practice 5. DPABINet: Graph Theoretical Analysis            

Practice 6. DPABINet: Display with text configuration            

Practice 7. DPABINet: Correction Within Significant Edges           Related Code

Best,

Chao-Gan


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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
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