Viewing FSL results with SPM and vice versa Thomas Maullin-Sapey1, Peter Williams2, Guillaume Flandin3, Thomas E. Nichols1,4, Camille Maumet4 1. Department of Statistics, University of Warwick, Coventry, UK 2. Department of Mathematics, University of Warwick, Coventry, UK 3. Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK. 4. WMG, University of Warwick, Coventry, UK Acknowledgments: We would like to acknowledge the work of all the INCF task force members as well as of many other colleagues who have helped the task force. We are particularly indebted to M. Abrams and the INCF secretariat staff. We also acknowledge the long-standing support of DDWG activities by the BIRN (NIH 1 U24 RR025736-01), and the Wellcome Trust for support of (CM, TEN). Fig. 1. Viewing the results of the same group fMRI study with SPM and FSL. The corresponding NIDM-Results pack is available at: http://neurovault.org/collections/1692/fsl_group_ols.nidm. Introduction A growing number of efforts are emerging in the neuroimaging community to increase reproducibility of research findings (e.g. [1,2]). In an attempt to facilitate publishing of neuroimaging data and metadata, the NeuroImaging Data Model (NIDM) defines a set of specifications based on semantic web technologies. The NIDM-Results specification was recently introduced, providing a machine-readable representation of mass univariate statistical results, including extensive metadata and key images summarising the findings [3]. NIDM-Results packs can be generated from SPM [5] and FSL [6]. However few tools exist to read and display NIDM-Results. Here, we introduce two NIDM-Results viewers, one each oriented for users accustomed to SPM and FSL, two of the most widely-used neuroimaging analysis softwares [7]. Results Conclusion SPM-style viewer: https://github.com/incf-nidash/nidmresults-spmhtml, FSL-style viewer: https://github.com/incf-nidash/nidmresults-fslhtml, NIDM-Results specification: http://nidm.nidash.org/specs/nidm-results.html. Getting started with NIDM: http://nidm.nidash.org/getting-started/. We hope that the viewer will facilitate the adoption of the NIDM-Result format for sharing of statistical results in the neuroimaging community as well as interoperability across software packages. This work is part of a growing ecosystem of tools for NIDM and it is our intention to develop more applications to further to increase the practical utility of NIDM-Results. Other projects also include the creation tools for meta-analysis of neuroimaging data. [1] Gorgolewski, Front Neuroinform. 2015 [2] Poldrack Front Neuroinform. 2013 [3] Maumet Scientific Data. 2016 [4] http://www.equator-network.org [5] Penny Academic press. 2011 [6] Jenkinson Neuroimage. 2012 [7] Carp Neuroimage. 2012 [8] https://rdflib.readthedocs.io/ [9] http://neurovault.org/collections/1692/ [10] Pauli et al. Front Neuroinform. 2016 References We acknowledge the work of all INCF task force members as well as the Wellcome Trust for support of CM and TEN. Acknowledgments Usage -style view -style view Publication Unthresholded statistic maps All cluster & peak locations Machine-readable metadata NIDM-Results Selected peak locations Figure (selected slices) Thresholded statistics Installation NIDM-Results Useful links addpath(PATH_TO/spm12) addpath(PATH_TO/nidmresults-spmhtml) 1. Download SPM-style viewer from https://github.com/incf-nidash/nidmresults-spmhtml 2. Update the Matlab path pip install git+git://github.com/incf-nidash/nidmresults-fs lhtml.git 1. Install the FSL-style viewer using pip nidm_results_display(‘fsl_group_ols.nidm.zip’) View a NIDM-Results pack with: nidmviewerfsl fsl_group_ols.nidm.zip