Accounting for linear transformations of EEG and MEG data in source analysis.
Analyses of electro- and magnetoencephalography (EEG, MEG) data often involve a linear modification of signals at the sensor level. Examples include re-referencing of the EEG, computation of synthetic gradiometer in MEG, or the removal of artifactual independent components to clean EEG and MEG data....
Main Authors: | Joerg F Hipp, Markus Siegel |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0121048 |
Similar Items
-
Correction: Accounting for Linear Transformations of EEG and MEG Data in Source Analysis.
by: PLOS ONE Staff
Published: (2015-01-01) -
Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG
by: Joerg F Hipp, et al.
Published: (2013-07-01) -
Sensitivity of MEG and EEG to Source Orientation
by: Ahlfors, Seppo Pentti, et al.
Published: (2011) -
Towards an objective evaluation of EEG/MEG source estimation methods – The linear approach
by: Olaf Hauk, et al.
Published: (2022-07-01) -
Bayesian analysis of phase data in EEG and MEG
by: Sydney Dimmock, et al.
Published: (2023-09-01)