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My current thoughts about methods validity and design in brain imaging.
Data processing is a significant part of a neuroimaging study. The choice of corresponding methods and tools is crucial. I will give an opinionated view how on a path to building better data processing for neuroimaging. I will take examples on endeavors that I contributed to: defining standards for functional-connectivity analysis, the nilearn neuroimaging tool, the scikit-learn machine-learning toolbox -an industry standard with a million regular users. I will cover not only the technical process -statistics, signal processing, software engineering- but also the epistemology of methods development. Methods govern our results, they are more than a technical detail.