The goal of this project was to make AFNI fMRI results compliant with the NIDM-Results standard.
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Providing export to NIDM-Results for AFNI makes it easier for AFNI users to report their fMRI results in compliance with best practices. The generated NIDM packs can be shared on NeuroVault effectively making thresholded and unthresholded maps publicly (or privately) available along with all metadata. NIDM also enhance interoperability across neuroimaging tools (currently: AFNI, SPM, FSL).
Brainstorming: updates needed in NIDM to model AFNI fMRI analyses (e.g. voxelwise data scaling, space of the coordinates for the results table, etc.) and possible updates in AFNI to make the export fully automatic (folder formatting, etc.) (all)
Creation of an example dataset, understanding usage for 3dClusterize (RR, CM)
Coding: ClustExp_StatParse.py to export clusters and peaks as JSON (JR), Minimal NIDM export script from a 3dttest++ example (CM). In future stages, the exporter will rely solely on metadata extracted by the ClustExp_StatParse.py routine.
why events like this enable these types of projects?
In person meetings are invaluable to make collaborative projects like this one possible. Exchanging information about AFNI analyses and the NIDM standard.
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