Review on solving the forward problem in EEG source analysis

H Hallez, B Vanrumste, R Grech, J Muscat… - … of neuroengineering and …, 2007 - Springer
Background The aim of electroencephalogram (EEG) source localization is to find the brain
areas responsible for EEG waves of interest. It consists of solving forward and inverse …

Analysis of multimodal neuroimaging data

F Biessmann, S Plis, FC Meinecke… - IEEE reviews in …, 2011 - ieeexplore.ieee.org
Each method for imaging brain activity has technical or physiological limits. Thus,
combinations of neuroimaging modalities that can alleviate these limitations such as …

MNE software for processing MEG and EEG data

A Gramfort, M Luessi, E Larson, DA Engemann… - neuroimage, 2014 - Elsevier
Magnetoencephalography and electroencephalography (M/EEG) measure the weak
electromagnetic signals originating from neural currents in the brain. Using these signals to …

[HTML][HTML] Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view

B Burle, L Spieser, C Roger, L Casini… - International Journal of …, 2015 - Elsevier
Among the different brain imaging techniques, electroencephalography (EEG) is classically
considered as having an excellent temporal resolution, but a poor spatial one. Here, we …

[HTML][HTML] Measuring MEG closer to the brain: Performance of on-scalp sensor arrays

J Iivanainen, M Stenroos, L Parkkonen - NeuroImage, 2017 - Elsevier
Optically-pumped magnetometers (OPMs) have recently reached sensitivity levels required
for magnetoencephalography (MEG). OPMs do not need cryogenics and can thus be placed …

Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics

R Sun, A Sohrabpour, GA Worrell… - Proceedings of the …, 2022 - National Acad Sciences
Many efforts have been made to image the spatiotemporal electrical activity of the brain with
the purpose of mapping its function and dysfunction as well as aiding the management of …

OpenMEEG: opensource software for quasistatic bioelectromagnetics

A Gramfort, T Papadopoulo, E Olivi, M Clerc - Biomedical engineering …, 2010 - Springer
Background Interpreting and controlling bioelectromagnetic phenomena require realistic
physiological models and accurate numerical solvers. A semi-realistic model often used in …

The effect of epoch length on estimated EEG functional connectivity and brain network organisation

M Fraschini, M Demuru, A Crobe… - Journal of neural …, 2016 - iopscience.iop.org
Objective. Graph theory and network science tools have revealed fundamental mechanisms
of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not …

Distinguishing the neural correlates of perceptual awareness and postperceptual processing

MA Cohen, K Ortego, A Kyroudis… - Journal of …, 2020 - Soc Neuroscience
To identify the neural correlates of perceptual awareness, researchers often compare the
differences in neural activation between conditions in which an observer is or is not aware of …

[HTML][HTML] Differences in unity: The go/no-go and stop signal tasks rely on different mechanisms

L Raud, R Westerhausen, N Dooley, RJ Huster - NeuroImage, 2020 - Elsevier
Response inhibition refers to the suppression of prepared or initiated actions. Typically, the
go/no-go task (GNGT) or the stop signal task (SST) are used interchangeably to capture …