Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

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 …

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research
and clinical studies of the human brain. However, no reference standards currently exist to …

Imaging technologies are increasingly used to generate high-resolution reference maps of
brain structure and function. Comparing experimentally generated maps to these reference …

Recent years have marked a renaissance in efforts to increase research reproducibility in
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …

Fundamental and clinical neuroscience has benefited tremendously from the development
of automated computational analyses. In excess of 600 human neuroimaging papers using …

The importance of effective research data management (RDM) strategies to support the
generation of Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience data …

Functional neuroimaging is an essential tool for neuroscience research. Pre-processing
pipelines produce standardized, minimally pre-processed data to support a range of …

The amygdala and its connections with medial prefrontal cortex (mPFC) play central roles in
the development of emotional processes. While several studies have suggested that this …

Preprocessing choices present a particular challenge for researchers working with
functional magnetic resonance imaging (fMRI) data from young children. Steps which have …