Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …

Summary Data Lad is a Python-based tool for the joint management of code, data, and their
relationship, built on top of a versatile system for data logistics (git-annex) and the most …

Arterial spin labeled (ASL) magnetic resonance imaging (MRI) is the primary method for
noninvasively measuring regional brain perfusion in humans. We introduce ASLPrep, a …

Memories undergo a time-dependent neural reorganization, which is assumed to be
accompanied by a transformation from detailed to more gist-like memory. However, the …

Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of
the human brain; the first of which is 'BigBrain'. Here, we review recent methodological …

When fields lack consensus standards and ground truths for their analytic methods,
reproducibility can be more of an ideal than a reality. Such has been the case for functional …

The reproducibility crisis in neuroimaging has led to an increased demand for standardized
data processing workflows. Within the ENIGMA consortium, we developed HALFpipe (H …

Abstract Changes in dopaminergic neuromodulation play a key role in adult memory
decline. Recent research has also implicated noradrenaline in shaping late-life memory …

The implementation of adequate quality assessment (QA) and quality control (QC) protocols
within the magnetic resonance imaging (MRI) research workflow is resource-and time …