ArticleFrontiers in neuroscience2017
The Effect of Head Model Simplification on Beamformer Source Localization.
Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Oscillatory brain state-dependent stimulation with transcranial magnetic stimulation combined with electroencephalography.Nature protocols · 2026Review
- Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Review
- Comparing the performance of beamformer algorithms in estimating orientations of neural sources.iScience · 2024Article
- Investigating the effect of template head models on Event-Related Potential source localization: a simulation and real-data study.Frontiers in neuroscience · 2024Article
- Global sensitivity of EEG source analysis to tissue conductivity uncertainties.Frontiers in human neuroscience · 2024Article
- Validating EEG, MEG and Combined MEG and EEG Beamforming for an Estimation of the Epileptogenic Zone in Focal Cortical Dysplasia.Brain sciences · 2022Article
- The Influence of the Head Model Conductor on the Source Localization of Auditory Evoked Potentials.Brain topography · 2021Article
- Data-driven beamforming technique to attenuate ballistocardiogram artefacts in electroencephalography-functional magnetic resonance imaging without detecting cardiac pulses in electrocardiography recordings.Human brain mapping · 2021Article
- High-Resolution EEG Source Localization in Segmentation-Free Head Models Based on Finite-Difference Method and Matching Pursuit Algorithm.Frontiers in neuroscience · 2021Article
- Parametrizing the Conditionally Gaussian Prior Model for Source Localization with Reference to the P20/N20 Component of Median Nerve SEP/SEF.Brain sciences · 2020Article
- Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.Frontiers in neuroscience · 2019Article
- The FieldTrip-SimBio pipeline for EEG forward solutions.Biomedical engineering online · 2018Article
- Partial Least Square Aided Beamforming Algorithm in Magnetoencephalography Source Imaging.Frontiers in neuroscience · 2018Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Beamformers are a widely-used tool in brain analysis with magnetoencephalography (MEG) and electroencephalography (EEG). For the construction of the beamformer filters realistic head volume conductor modeling is necessary for accurately computing the EEG and MEG leadfields, i.e., for solving the EEG and MEG forward problem. In this work, we investigate the influence of including realistic head tissue compartments into a finite element method (FEM) model on the beamformer's localization ability. Specifically, we investigate the effect of including cerebrospinal fluid, gray matter, and white matter distinction, as well as segmenting the skull bone into compacta and spongiosa, and modeling white matter anisotropy. We simulate an interictal epileptic measurement with white sensor noise. Beamformer filters are constructed with unit gain, unit array gain, and unit noise gain constraint. Beamformer source positions are determined by evaluating power and excess sample kurtosis (g
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