[HTML][HTML] A unified view on beamformers for M/EEG source reconstruction
… academic open source software packages for MEG analysis (… The successful estimation of
source activity using beamformers … to obtain a whole brain estimate of source time courses, …
source activity using beamformers … to obtain a whole brain estimate of source time courses, …
[HTML][HTML] Modified covariance beamformer for solving MEG inverse problem in the environment with correlated sources
A Kuznetsova, Y Nurislamova, A Ossadtchi - NeuroImage, 2021 - Elsevier
… To reconstruct activity via vector LCMV beamformer from the … efficient and prone to errors if
the seed source is set apriori. … of activity across all N sources represented in the whole brain …
the seed source is set apriori. … of activity across all N sources represented in the whole brain …
[HTML][HTML] Comparison of beamformer implementations for MEG source localization
… source imaging estimate source distributions that reconstruct (… noise covariance, and the
effective number of sensors (rank) … However, pathological brain activity may produce high SNR, …
effective number of sensors (rank) … However, pathological brain activity may produce high SNR, …
Quantitative evaluation in estimating sources underlying brain oscillations using current source density methods and beamformer approaches
… Brain oscillations from EEG and MEG shed light on … select the most effective source localization
technique that is in … applied to sensor level CSD to reconstruct the source level CSD of all …
technique that is in … applied to sensor level CSD to reconstruct the source level CSD of all …
EEG/MEG source estimation and spatial filtering: the linear toolkit
… are computationally efficient and easy to apply to large data sets. Our … how the activity of
known source currents in the brain is … of beamformers, we assume that all other sources, ie, brain …
known source currents in the brain is … of beamformers, we assume that all other sources, ie, brain …
[HTML][HTML] Towards an objective evaluation of EEG/MEG source estimation methods–The linear approach
… (EEG and MEG) record electrical brain activity with high … -source solutions do not accurately
reconstruct the true … Our two beamformers produced larger SD values than the MNE-…
reconstruct the true … Our two beamformers produced larger SD values than the MNE-…
Estimating neural sources using a worst-case robust adaptive beamforming approach
… Recently, brain source localization and beamforming methods have … (EEG) and/or the
magnetoencephalograph (MEG). … Existing beamforming methods are very effective in many cases, …
magnetoencephalograph (MEG). … Existing beamforming methods are very effective in many cases, …
[HTML][HTML] Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS–EEG Data
J Metsomaa, Y Song, TP Mutanen, PC Gordon… - Brain Topography, 2024 - Springer
… the algorithm is highly efficient in speed. … activity of the neural, artifactual, and noise
components are mutually uncorrelated and that their topographies are not affected by the activity of …
components are mutually uncorrelated and that their topographies are not affected by the activity of …
[HTML][HTML] Testing covariance models for MEG source reconstruction of hippocampal activity
… The estimation of electrical brain activity given the scalp level … experimental dataset from a
recent beamformer MEG study 16 . We … MEG (OP-MEG) systems 58 that might more effectively …
recent beamformer MEG study 16 . We … MEG (OP-MEG) systems 58 that might more effectively …
[HTML][HTML] Can EEG and MEG detect signals from the human cerebellum?
… with MEG or EEG than sources located in deeper brain structures (… , beamformer methods
will be useful since these reconstruct … A successful strategy for localizing cerebellar activity has …
will be useful since these reconstruct … A successful strategy for localizing cerebellar activity has …