9 research outputs found

    NIDM-Results. A standard for describing and sharing neuroimaging results: application to image-based meta-analysis

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    <div><i>NeuroSpin seminar - October 3rd, 2016</i></div><div><br></div><div>Only a tiny fraction of the data and metadata produced by an fMRI study is eventually conveyed to the community. This lack of transparency not only hinders the reproducibility of neuroimaging results but also impairs future meta-analyses. The issue is multi-factorial with a number of ethical, psychological and technical barriers. In an effort to tackle some of the technical issues, The Neuroimaging Data Model (NIDM) was built to make sharing of neuroimaging data and metadata as effortless as possible. This model was developed as part of the International Neuroinformatics Coordinating Facility (INCF) neuroimaging task force.</div><div>In this talk, I will present NIDM, and review our recent progress in providing a model to share the statistical results of a neuroimaging study. In particular, I will show how this standard is made accessible to neuroimaging researchers through their usual software packages and tools (SPM, FSL, Neurovault). Finally, I will demonstrate how the use of this standard enables image-based meta-analyses. </div

    Practical Intensity-Based Meta-Analysis

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    Talk given during the OHBM Neuroimaging Meta-Analysis Educational course on 26 June 2016

    OHBM 2017: Practical intensity based meta-analysis

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    "Practical intensity-based meta-analysis" slides from my talk in the OHBM 2017 educational talk on Neuroimaging meta-analysis.<div><br></div><div>http://www.humanbrainmapping.org/files/2017/ED Courses/Neuroimaging Meta-Analysis.pdf<br></div

    Do the units matter? Validity of Intensity Based MetaAnalysis in the presence of unit mismatches

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    Poster submitted to the 2015 Organization for Human Brain Mapping (OHBM) in Hawaii, 14-18 June

    Practical Image-Based Meta-Analysis

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    Talk given at the 2015 Organization for Human Brain Mapping (OHBM) in Hawaii, 14-18 June

    Is Z enough? Impact of Meta-Analysis using only Z/T images in lieu of estimates and standard errors

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    <div>Poster submitted to the 2014 Organization for Human Brain Mapping (OHBM) conference in Hamburg, 8-12 June.</div><div><br></div
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