The R-fMRI Network (RFMRI.ORG) is a network for supporting resting-state fMRI related studies. We would like to connect R-fMRI researchers (as nodes) by their sharings (as edges) in the R-fMRI Network. Through the network, we can share ideas, comments, resources, tools, experiences, data, and "share that brain".
Past: In 2009, Dr. Yu-Feng Zang at Beijing Normal University (now at Hangzhou Normal University) proposed building an online forum to support the REST toolbox and for discussions of resting-state fMRI related topics. Mr. Xiaowei Song designed and implemented the website infrastructure based on Drupal (drupal.org). Dr. Chao-Gan Yan created the online resources including data processing courses and FAQs. And all users collectively created the content at the Forum of resting-state fMRI (restfmri.net). In particular, Dr. Zang's group members (Dr. Han Zhang, Mr. Xin-Di Wang, Mr. Zhen-Xiang Zang, Dr. Gong-Jun Ji, Mr. Zhao Qing, Mr. Zhang-Ye Dong, et al.) frequently replied to questions.
Present: In August 2013, triggered by a prolonged shutdown of restfmri.net due to web hosting service problems, Dr. Chao-Gan Yan initiated The R-fMRI Network - a network for supporting resting-state fMRI related studies, and created the website rfmri.org. The R-fMRI Network (RFMRI.ORG) is trying to transform from centralized discussions (a few main nodes answering most questions) to distributed discussions (many researchers communicating and exchanging experiences). The R-fMRI Network has been set up so that each user is an equal node exchanging information and resources.
Future: The future goal of the R-fMRI Network (RFMRI.ORG) is to connect resting-state fMRI researchers to promote basic and clinical R-fMRI studies. Researchers (nodes) with basic neuroscience, methodological, or clinical backgrounds can connect with each other in the network. The R-fMRI Network will facilitate efficient exchange of ideas, tools, resources, experiences and data among the nodes. We anticipate the R-fMRI Network will help to enhance collaborations among researchers, especially to translate our knowledge of basic neuroscience and methodology into clinical applications (bench to bedside).
If you have any questions or suggestions, please feel free to reach out to the entire network, or contact the service nodes, e.g., the node of Chao-Gan Yan, Ph.D.
Let’s connect in The R-fMRI Network!
The support team of The R-fMRI Network (RFMRI.ORG)