Should we rename OpenfMRI? Request for community input
We have been busy in the last year building a new platform that will ultimately serve as the new basis for the OpenfMRI project, supporting both data analysis and sharing. One major change with the new platform is that we will support processing and sharing of datasets that do not include fMRI (such as structural […]
Report from the first CRN coding sprint
Two weeks ago (1st-4th of August 2016) we hosted a coding sprint at Stanford aimed at making neuroimaging data processing and analysis tools more portable and accessible. We invited an international group representing many of the leading data processing pipelines (such as SPM, FSL, BROCCOLI, MRTrix, NIAK, C-PAC, Nipype, OPPNI aka NPAIRS, hyperalignment, nilearn, mindboggle […]
Coding sprint for a new neuroimaging data processing platform
The CRN mission is to make the best neuroimaging methods easily available to researchers and at the same time incentivize them to share their data. To achieve this we have built an infrastructure that makes uploading data easy (thanks to the new BIDS standard). Once the data are uploaded, researchers can run preprocessing and analysis […]
Big problems for common fMRI thresholding methods
A new preprint has been posted to the ArXiv that has very important implications and should be required reading for all fMRI researchers. Anders Eklund, Tom Nichols, and Hans Knutsson applied task fMRI analyses to a large number of resting fMRI datasets, in order to identify the empirical corrected “familywise” Type I error rates observed […]
Reproducibilty and the ease of fooling ourselves
The new study from the Reproducibility Project, published this week in Science, has been getting a great deal of attention. In short, out of 100 attempted well-powered replications of findings from three psychology journals, less than half were found to replicate. Ed Yong has a particularly nice piece at the Atlantic that discusses the results […]
How not to get lost in your data
Prof. Smith had a brilliant idea – without acquiring any new data he will be able to test his new hypothesis. All he has to do is to get his PhD student to reanalyze the data acquired by his postdoc two years ago. Brilliant! And so cheap! Everything was rosy until he tried to put […]
Welcome to the Stanford Center for Reproducible Neuroscience
We are happy to welcome you to the new home of the Stanford Center for Reproducible Neuroscience. Our center was founded in 2015 with the goal of developing an open online analysis platform to help researchers enhance the reproducibility of their research. This platform will extend the current OpenfMRI.org project by providing tools to easily […]