
NIDM
About
NeuroImaging Data Model (NIDM)-Results provides a representation of mass univariate neuroimaging analysis results, unified across analysis software packages. Implementation of NIDM-Results within FSL and SPM, two of the main neuroimaging software packages, provides an automated solution to share maps generated by neuroimaging studies along with their metadata. In neuroimaging, “mass univariate” analyses – where a univariate model is independently fit to each voxel in parallel – are applied to a large range of datasets including: functional MRI, anatomical MRI (with Voxel-Based Morphometry), PET, EEG and MEG data.
Learn more: http://nidm.nidash.org/specs/nidm-results.html
Links
Publications NIDM-Results webpageCommentaries on endorsed standards
BIDS and the NeuroImaging Data Model (NIDM)Supporting software
Exporters
- SPM to NIDM (native since SPM12, cf. release notes: https://www.fil.ion.ucl.ac.uk/spm/software/spm12/SPM12_Release_Notes.pdf
- FSL to NIDM (native python library since FSL 5.0.10, cf. release notes: https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/WhatsNew#A5.0.10.2C_25.2F04.2F2017)
Importer
- NeuroVault importer (native) https://github.com/NeuroVault/NeuroVault
Viewers
- SPM to NIDM (toolbox) https://github.com/incf-nidash/nidmresults-spmhtml
- FSL to NIDM (toolbox) https://github.com/incf-nidash/nidmresults-fslhtml
Additional URL
- A representation of mass univariate neuroimaging analysis results for:
- fMRI
- Anatomical MRI with voxel-based morphometry
- PET
- EEG
- MEG
- Share or reuse data from NeuroVault (supports both import and export to NIDM-Results) and CBRAIN (supports export to NIDM-Results)
- Use SPM or FSL for analyses. NIDM-Results is natively implemented in SPM and an exporter available for FSL
Use Brain Imaging Data Structure (BIDS) in conjunction with the Neuroimaging Data Structure (NIDM) because NIDM adds additional capabilities to track provenance and disambiguate experimental details and data elements that may have substantial ambiguity to the eventual data user. Learn more: https://f1000research.com/documents/8-1373