[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
… time efficient and prone to errors if the seed source is set apriori. … with other relevant source
reconstruction methods we ran … irrelevant activity with 1000 task-unrelated cerebral sources …
reconstruction methods we ran … irrelevant activity with 1000 task-unrelated cerebral sources …
[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, …
[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] On the potential of a new generation of magnetometers for MEG: a beamformer simulation study
… generated by sources in spatially separate brain locations; this … We examine reconstruction
accuracy of beamforming for … systems the effective characterisation of deep sources relies on …
accuracy of beamforming for … systems the effective characterisation of deep sources relies on …
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, …
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 …
[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-…
An introduction to MEG connectivity measurements
… Using brain imaging techniques such as MRI, fMRI, and MEG… , functional, and effective.
Structural connectivity can have … an adaptive spatial filter (beamformer) to reconstruct source …
Structural connectivity can have … an adaptive spatial filter (beamformer) to reconstruct source …
Characterizing hippocampal dynamics with MEG: A systematic review and evidence‐based guidelines
E Ruzich, M Crespo‐García, SS Dalal… - Human brain …, 2019 - Wiley Online Library
… when applying beamformers because these adaptive spatial … spike activity or the use of
single dipole source reconstruction … whether MEG methods can be used to effectively localize …
single dipole source reconstruction … whether MEG methods can be used to effectively localize …
[HTML][HTML] Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction
C Cai, K Sekihara, SS Nagarajan - NeuroImage, 2018 - Elsevier
… to correlated brain activity present in real MEG and EEG data … , there are still no efficient
source reconstruction algorithms. … cortical activity really impacts the performance of Beamformer. …
source reconstruction algorithms. … cortical activity really impacts the performance of Beamformer. …