A standardised representation for non-parametric fMRI results
Résumé
Introduction : Reuse of data collected and analysed at another site is becoming more prevalent in the neuroimaging
community (cf. for example (Milham et al. 2017)) but this process usually relies on intensive data and
metadata curation. Given the ever-increasing number of research datasets produced and shared, it is
desirable to rely on standards that will enable automatic data and metadata retrieval for large-scale
analyses (Wilkinson et al. 2016).
We recently introduced NIDM-Results (Maumet et al. 2016), a data model to represent and publish
data and metadata created as part of a mass univariate neuroimaging study (typically functional
magnetic resonance imaging). Here we extend this model to allow for the representation of
non-parametric analyses and we introduce a JSON API that will facilitate export into NIDM-Results.
Domaines
Neurosciences [q-bio.NC]
Fichier principal
MAUMET_OHBM2018_nonparametricNIDMResults.pdf (436.52 Ko)
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Maumet_NIDM-SnPM_OHBM2018.pdf (1.44 Mo)
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