A methodological framework for inverse-modeling of propagating cortical activity using MEG/EEG
The prevailing view on the dynamics of large-scale electrical activity in the human cortex is that it constitutes a functional network of discrete and localized circuits. Within this view, a natural way to analyse magnetoencephalographic (MEG) and electroencephalographic (EEG) data is by adopting me...
Main Author: | Rikkert Hindriks |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-12-01
|
Series: | NeuroImage |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920308314 |
Similar Items
-
Relation between the phase-lag index and lagged coherence for assessing interactions in EEG and MEG data
by: Rikkert Hindriks
Published: (2021-03-01) -
Lag-invariant detection of interactions in spatially-extended systems using linear inverse modeling.
by: Rikkert Hindriks
Published: (2020-01-01) -
Validating EEG, MEG and Combined MEG and EEG Beamforming for an Estimation of the Epileptogenic Zone in Focal Cortical Dysplasia
by: Frank Neugebauer, et al.
Published: (2022-01-01) -
Cortical Signal Suppression (CSS) for Detection of Subcortical Activity Using MEG and EEG
by: Samuelsson, John G, et al.
Published: (2021) -
Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.
by: Paolo Belardinelli, et al.
Published: (2012-01-01)