When changes in the analysis methods lead to different results, what does it tell us on our research? In this talk we will discuss reproducibility in the field of neuroimaging. Neuroimaging studies are characterized by a very large analysis space and, to build their analyses, practitioners must choose between different software, software versions, algorithms, parameters, etc. For many years, those choices have been considered as implementation details but evidence is growing that the exact choices of analytical strategy can lead to different and sometimes contradictory results. We will review our recent efforts to better cope with and understand the different sources of this analytical variability in neuroimaging.