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 …

Human neuroscience has always been pushing the boundary of what is measurable. During
the last decade, concerns about statistical power and replicability–in science in general, but …

Power analysis for first-order interactions poses two challenges:(a) Conducting an
appropriate power analysis is difficult because the typical expected effect size of an …

The aim of the current study is to investigate the effect of Brain-Based Learning (BBL) on
students' intrinsic motivation to learn and perform mathematics. Owing to the educational …

Methodological reporting guidelines for studies of ERPs were updated in Psychophysiology
in 2014. These guidelines facilitate the communication of key methodological parameters …

Event‐related potentials (ERPs) can be very noisy, and yet, there is no widely accepted
metric of ERP data quality. Here, we propose a universal measure of data quality for ERP …

The rise of large, publicly shared functional magnetic resonance imaging (fMRI) data sets in
human neuroscience has focused on acquiring either a few hours of data on many …

The purpose of this study was to explore the effects of virtual reality (VR) application on
creative performance and immersion, evaluated through electroencephalography brain …

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 …

Instantaneous brain states have consequences for our sensation, perception, and
behaviour. Fluctuations in arousal and neural desynchronization likely pose perceptually …