ArticleFrontiers in neuroscience2014
Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance.
Article in Frontiers in neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed.
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- Improving neuroimaging headgear placement robustness using facial-landmark guided augmented reality.bioRxiv : the preprint server for biology · 2025Article
- Brainstem and Deep Gray Nuclei Modulate Brain Network Efficiency in Low-risk Term Newborns.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
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- Comparison of electrode position marking procedures on the cranial surface.Brain and behavior · 2023Article
- ECG Electrode Localization: 3D DS Camera System for Use in Diverse Clinical Environments.Sensors (Basel, Switzerland) · 2023Article
- On electromagnetic head digitization in MEG and EEG.Scientific reports · 2023Article
- Smartphone-based photogrammetry provides improved localization and registration of scalp-mounted neuroimaging sensors.Scientific reports · 2022Article
- Variability of EEG electrode positions and their underlying brain regions: visualizing gel artifacts from a simultaneous EEG-fMRI dataset.Brain and behavior · 2022Article
- Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex.Frontiers in neuroinformatics · 2022Article
- Accuracy of high-density EEG electrode position measurement using an optical scanner compared with the photogrammetry method.Clinical neurophysiology practice · 2022Article
- Information redundancy across spatial scales modulates early visual cortical processing.NeuroImage · 2021Article
- Using the MoBI motion capture system to rapidly and accurately localize EEG electrodes in anatomic space.The European journal of neuroscience · 2021Article
- A Method to Experimentally Estimate the Conductivity of Chronic Stroke Lesions: A Tool to Individualize Transcranial Electric Stimulation.Frontiers in human neuroscience · 2021Article
- Automatic Detection of Fiducial Landmarks Toward the Development of an Application for Digitizing the Locations of EEG Electrodes: Occipital Structure Sensor-Based Work.Frontiers in neuroscience · 2021Article
- Self-Abrading Servo Electrode Helmet for Electrical Impedance Tomography.Sensors (Basel, Switzerland) · 2020Article
- Algorithmic localization of high-density EEG electrode positions using motion capture.Journal of neuroscience methods · 2020Article
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- Semi-Automated and Direct Localization and Labeling of EEG Electrodes Using MR Structural Images for Simultaneous fMRI-EEG.Frontiers in neuroscience · 2020Article
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4 authors.
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Abstract
Inaccuracy of EEG electrode coordinates forms an error term in forward model generation and ultimate source reconstruction performance. This error arises from the combination of both intrinsic measurement noise of the digitization apparatus and manual coregistration error when selecting corresponding points on anatomical MRI volumes. A common assumption is that such an error would lead only to displacement of localized sources. Here, we measured electrode positions on a 3D-printed full-scale replica head, using three different techniques: a fringe projection 3D scanner, a novel "Flying Triangulation" 3D sensor, and a traditional electromagnetic digitizer. Using highly accurate fringe projection data as ground truth, the Flying Triangulation sensor had a mean error of 1.5 mm while the electromagnetic digitizer had a mean error of 6.8 mm. Then, again using the fringe projection as ground truth, individual EEG simulations were generated, with source locations across the brain space and a range of sensor noise levels. The simulated datasets were then processed using a beamformer in conjunction with the electrode coordinates registered with the Flying Triangulation and electromagnetic digitizer methods. The beamformer's output SNR was severely degraded with the digitizer-based positions but less severely with the Flying Triangulation coordinates. Therefore, the seemingly innocuous error in electrode registration may result in substantial degradation of beamformer performance, with output SNR penalties up to several decibels. In the case of low-SNR signals such as deeper brain structures or gamma band sources, this implies that sensor coregistration accuracy could make the difference between successful detection of such activity or complete failure to resolve the source.
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