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 …

Context. Electroencephalography (EEG) is a complex signal and can require several years
of training, as well as advanced signal processing and feature extraction methodologies to …

The sharing of research data is essential to ensure reproducibility and maximize the impact
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN …

Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …

Abstract The Organization for Human Brain Mapping (OHBM) has been active in advocating
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …

Following its introduction in 2014 and with support of a broad international community, the
open-source toolbox Lead-DBS has evolved into a comprehensive neuroimaging platform …

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 …

Electroencephalography (EEG) recordings have been rarely included in large-scale studies.
This is arguably not due to a lack of information that lies in EEG recordings but mainly on …

Electroencephalography (EEG), as a non-invasive modality, enables the representation of
the underlying neuronal activities as electrical signals with high temporal resolution. In …