Tibor Auer

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: The Cam-CAN Stage 2 repository contains multi-modal (MRI, MEG, and cognitive-behavioural) data from a large, cross-sectional adult lifespan (18–87 years old) population-based sample, providing a depth of neurocognitive phenotyping that is currently unparalleled, enabling integrative analyses of age-related changes in brain structure, brain function, and cognition.

TL;DR: This work introduces a framework for creating, testing, versioning and archiving portable applications for analyzing neuroimaging data organized and described in compliance with the Brain Imaging Data Structure (BIDS).

TL;DR: Over 80 neurofeedback researchers present a consensus-derived checklist – CRED-nf – for reporting and experimental design standards in the field.

TL;DR: An open-source framework, automatic analysis (aa), that can reduce the amount of time neuroimaging laboratories spend performing analyses and reduce errors, expanding the range of scientific questions it is practical to address.