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

The electroencephalogram (EEG) is one of the oldest technologies to measure neuronal
activity of the human brain. It has its undisputed value in clinical diagnosis, particularly (but …

A significant proportion of the electroencephalography (EEG) literature focuses on
differences in historically pre-defined frequency bands in the power spectrum that are …

The technology to collect brain imaging and physiological measures has become portable
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …

Filters are commonly used to reduce noise and improve data quality. Filter theory is part of a
scientist's training, yet the impact of filters on interpreting data is not always fully appreciated …

Background Filtering is a ubiquitous step in the preprocessing of electroencephalographic
(EEG) and magnetoencephalographic (MEG) data. Besides the intended effect of the …

The concurrent use of transcranial magnetic stimulation with electroencephalography (TMS–
EEG) is growing in popularity as a method for assessing various cortical properties such as …

Although it is widely known that high‐pass filters can reduce the amplitude of slow ERP
components, these filters can also introduce artifactual peaks that lead to incorrect …

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

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 …