NeuroVault. org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain

KJ Gorgolewski, G Varoquaux, G Rivera, Y Schwartz…�- Neuroimage, 2016 - Elsevier
Neuroimage, 2016Elsevier
NeuroVault. org is dedicated to storing outputs of analyses in the form of statistical maps,
parcellations and atlases, a unique strategy that contrasts with most neuroimaging
repositories that store raw acquisition data or stereotaxic coordinates. Such maps are
indispensable for performing meta-analyses, validating novel methodology, and deciding on
precise outlines for regions of interest (ROIs). NeuroVault is open to maps derived from both
healthy and clinical populations, as well as from various imaging modalities (sMRI, fMRI�…
Abstract
NeuroVault.org is dedicated to storing outputs of analyses in the form of statistical maps, parcellations and atlases, a unique strategy that contrasts with most neuroimaging repositories that store raw acquisition data or stereotaxic coordinates. Such maps are indispensable for performing meta-analyses, validating novel methodology, and deciding on precise outlines for regions of interest (ROIs). NeuroVault is open to maps derived from both healthy and clinical populations, as well as from various imaging modalities (sMRI, fMRI, EEG, MEG, PET, etc.). The repository uses modern web technologies such as interactive web-based visualization, cognitive decoding, and comparison with other maps to provide researchers with efficient, intuitive tools to improve the understanding of their results. Each dataset and map is assigned a permanent Universal Resource Locator (URL), and all of the data is accessible through a REST Application Programming Interface (API). Additionally, the repository supports the NIDM-Results standard and has the ability to parse outputs from popular FSL and SPM software packages to automatically extract relevant metadata. This ease of use, modern web-integration, and pioneering functionality holds promise to improve the workflow for making inferences about and sharing whole-brain statistical maps.
Elsevier