Krzysztof J. Gorgolewski

TL;DR: fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data that dispenses of manual intervention, thereby ensuring the reproducibility of the results.

TL;DR: Nipype solves issues by providing Interfaces to existing neuroimaging software with uniform usage semantics and by facilitating interaction between these packages using Workflows, and provides an environment that encourages interactive exploration of algorithms, eases the design of Workflows within and between packages, and reduces the learning Curve.

TL;DR: The Brain Imaging Data Structure (BIDS) is developed, a standard for organizing and describing MRI datasets that uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.

TL;DR: How the field of functional MRI should evolve is described to produce the most meaningful and reliable answers to neuroscientific questions.

TL;DR: FMRIPrep has the potential to transform fMRI research by equipping neuroscientists with a high-quality, robust, easy-to-use and transparent preprocessing workflow which can help ensure the validity of inference and the interpretability of their results.