bioRxivNeuroscience
Sharing brain mapping statistical results with the neuroimaging data model
Camille MaumetiD, Tibor AueriD, Alexander BowringiD, Gang Chen, Samir Das, Guillaume FlandiniD, Satrajit GhoshiD, Tristan GlatardiD, Krzysztof J. GorgolewskiiD, Karl G. Helmer, Mark JenkinsoniD, David Keator, Nolan Nolan Nichols, Jean-Baptiste Poline, Richard Reynolds, Vanessa Sochat, Jessica Turner, Thomas E. NicholsiD
Abstract
Only a tiny fraction of the data and metadata produced by an fMRI study is finally conveyed to the community. This lack of transparency not only hinders the reproducibility of neuroimaging results but also impairs future meta-analyses. In this work we introduce NIDM-Results, a format specification providing a machine-readable description of neuroimaging statistical results along with key image data summarising the experiment. NIDM-Results provides a unified representation of mass univariate analyses including a level of detail consistent with available best practices. This standardized representation allows authors to relay methods and results in a platform-independent regularized format that is not tied to a particular neuroimaging software package. Tools are available to export NIDM-Result graphs and associated files from the widely used SPM and FSL software packages, and the NeuroVault repository can import NIDM-Results archives. The specification is publically available at: http://nidm.nidash.org/specs/nidm-results.html.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Best Practices in Data Analysis and Sharing in Neuroimaging using MRI
Thomas E. Nichols, Samir Das, … B. T. Thomas Yeo·Nature NeurosciencePeer-reviewed·Mar 1, 2017
- Data management and sharing in neuroimaging: Practices and perceptions of MRI researchers
John Borghi, Ana E. Van Gulick·PLoS ONEPeer-reviewed·Jul 16, 2018
- Highlight Results, Don't Hide Them: Enhance interpretation, reduce biases and improve reproducibility
Paul A. Taylor, Richard C. Reynolds, … Gang Chen·NeuroImagePeer-reviewed·Apr 26, 2023
- Is the Statistic Value All We Should Care about in Neuroimaging?
Gang Chen, Paul A Taylor, Robert W Cox·NeuroImagePeer-reviewed·Feb 1, 2017
- The Brain Imaging Data Structure: a standard for organizing and describing outputs of neuroimaging experiments
Krzysztof Jacek Gorgolewski, Tibor Auer, … Russell A. Poldrack·bioRxiv·May 12, 2016
- A practical guide for improving transparency and reproducibility in neuroimaging research
Krzysztof J. Gorgolewski, Russell Poldrack·bioRxiv·Apr 12, 2016