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Towards reproducible neuroimaging across different analysis pipelines

Camille Maumet, Inria, Univ Rennes, CNRS, Inserm聽
Tuesday February 20, 12-1pm
Zoom Link:听
In Person: 550 Sherbrooke, Room 189

Abstract:听When a change in analysis methods leads to different results, what does this mean for our research findings? In this presentation, we will discuss reproducibility in neuroimaging. Neuroimaging studies are characterized by a very large analysis space, and practitioners usually have to choose between different software, software versions, algorithms, parameters, etc. For many years, these choices have been regarded as implementation details, but it is becoming increasingly clear that the exact choices of analytical strategy can lead to different and sometimes contradictory results. We will review our recent efforts to better understand and manage the different sources of this analytical variability in neuroimaging.