AUTHOR=Poldrack Russell A., Barch Deanna M., Mitchell Jason , Wager Tor , Wagner Anthony D., Devlin Joseph T., Cumba Chad , Koyejo Oluwasanmi , Milham Michael TITLE=Toward open sharing of task-based fMRI data: the OpenfMRI project JOURNAL=Frontiers in Neuroinformatics VOLUME=7 YEAR=2013 URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2013.00012 DOI=10.3389/fninf.2013.00012 ISSN=1662-5196 ABSTRACT=

The large-scale sharing of task-based functional neuroimaging data has the potential to allow novel insights into the organization of mental function in the brain, but the field of neuroimaging has lagged behind other areas of bioscience in the development of data sharing resources. This paper describes the OpenFMRI project (accessible online at http://www.openfmri.org), which aims to provide the neuroimaging community with a resource to support open sharing of task-based fMRI studies. We describe the motivation behind the project, focusing particularly on how this project addresses some of the well-known challenges to sharing of task-based fMRI data. Results from a preliminary analysis of the current database are presented, which demonstrate the ability to classify between task contrasts with high generalization accuracy across subjects, and the ability to identify individual subjects from their activation maps with moderately high accuracy. Clustering analyses show that the similarity relations between statistical maps have a somewhat orderly relation to the mental functions engaged by the relevant tasks. These results highlight the potential of the project to support large-scale multivariate analyses of the relation between mental processes and brain function.