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 …

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 …

Electroencephalography (EEG) is the non-invasive measurement of the brain's electric
fields. Electrodes placed on the scalp record voltage potentials resulting from current flow in …

Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

Electroencephalography (EEG) and magnetoencephalography (MEG) are non-invasive
electrophysiological methods, which record electric potentials and magnetic fields due to …

Magnetoencephalography (MEG) is an invaluable tool to study the dynamics and
connectivity of large-scale brain activity and their interactions with the body and the …

A non-invasive functional-brain-imaging system based on optically-pumped-magnetometers
(OPM) is presented. The OPM-based magnetoencephalography (MEG) system features 20 …

Magnetoencephalography (MEG) records weak magnetic fields outside the human head
and thereby provides millisecond-accurate information about neuronal currents supporting …