Closed XueminZhu-Charmaine closed 4 years ago
Abstract Connectome maps brain network’s elements and connections to create a comprehensive architectural description of the network architecture. M2G pipeline is designed to estimate connectomes using several functional and diffusion studies, which preserves biological variability and reliability. This paper provides a comprehensive dataset of connectome outcomes generating from all available dMRI databases using M2G. The data provide materials and a test bed for neuroscience research.
Sprint 1 goals:
Hi @XueminZhu-Charmaine , can you list what datasets you are planning on running?
Hi @XueminZhu-Charmaine , can you list what datasets you are planning on running?
We're still finding the datasets.
1.Correct labelings of Neuroparc atlas with Fang Cai, Zhen Hu, Jialin Kang, and Wilson Tang. Neuroparc Correction Excel Sheets: https://drive.google.com/drive/folders/1m_cxxYcHkEkJoqg4-c2wmW8FUN52Wuti?usp=sharing
2.Writing analysis code and do batch analysis on M2G results with Zhen Hu, Fang Cai, Wilson Tang, and Eric. Here is the DoD: https://github.com/NeuroDataDesign/M2G_analysis
4.Everyone: Data Descriptor Paper Draft. Here is the link: https://www.overleaf.com/7229861125bncdyxrwxkkb
Trying to write a data descriptor paper about m2g.