The sharing of human neuroimaging data has great potential to accelerate the development
of imaging biomarkers in neurological and psychiatric disorders; however, major obstacles …

Neuroimaging databases for neuro‐psychiatric disorders enable researchers to implement
data‐driven research approaches by providing access to rich data that can be used to study …

In order to support efficient processing, data must be formatted according to standards that
are prevalent in the field and widely supported among actively developed analysis tools …

Establishing a unified theory of cognition has been a major goal of psychology. While there
have been previous attempts to instantiate such theories by building computational models …

In this paper, we provide an overview and analysis of the BRAIN Initiative data-sharing
ecosystem. First, we compare and contrast the characteristics of the seven BRAIN Initiative …

The field of science is in a stage of crisis. Questionable research practices like p-hacking
and hypothesising after the results are known ('harking') combined with a publication bias …

Abstract NeuroHackademy (https://neurohackademy. org) is a two-week event designed to
train early-career neuroscience researchers in data science methods and their application to …

Data sharing is an essential component of open science practice. The Brain Imaging Data
Structure project has pioneered a way to organize neuroimaging and behavioural data that …

Visualization software is a critical component at every stage of neuroimaging research. It
enables researchers to inspect raw or processed datasets for artifacts, to identify anomalies …

The promise of large-scale, high-resolution datasets from Electron Microscopy (EM) and X-
ray Microtomography (XRM) lies in their ability to reveal neural structures and synaptic …