The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …

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 …

Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations,
and guidelines that help scientists to produce work that is of the highest quality at any given …

The analysis of the interdependence between time series has become an important field of
research in the last years, mainly as a result of advances in the characterization of dynamical …

The understanding of neurophysiological mechanisms responsible for motor imagery (MI) is
essential for the development of brain-computer interfaces (BCI) and bioprosthetics. Our …

Brainstorm is a free, open-source Matlab and Java application for multimodal electrophysiology
data analytics and source imaging [primarily MEG, EEG and depth recordings, and …

There is growing awareness across the neuroscience community that the replicability of
findings about the relationship between brain activity and cognitive phenomena can be …

We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the
specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with …

In contrast with other imaging modalities, there is presently a scarcity of fully open resources
in magnetoencephalography (MEG) available to the neuroimaging community. Here we …

Neuroscience is advancing standardization and tool development to support rigor and
transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, …