ArticleFrontiers in neuroscience2021
Co-registration Comparison of On-Scalp Magnetoencephalography and Magnetic Resonance Imaging.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 42 citations in OpenAlex.
- Temporal Response Function-Driven Representational Similarity Analysis for Speech Perception Decoding with MEG and EEG.Biology · 2026Article
- Article
- A Sensor Localization and Orientation Method for OPM-MEG Based on Rigid Coil Structures and Magnetic Dipole Fitting Models.Bioengineering (Basel, Switzerland) · 2025Article
- Decoding the Spatiotemporal Dynamics of Neural Response Similarity in Auditory Processing: A Multivariate Analysis Based on OPM-MEG.Human brain mapping · 2025Article
- Inferring laminar origins of MEG signals with optically pumped magnetometers (OPMs): A simulation study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Three-dimensional infrared scanning: an enhanced approach for spatial registration of probes for neuroimaging.Neurophotonics · 2024Article
- Article
- Review
- Stomach Geometry Reconstruction Using Serosal Transmitting Coils and Magnetic Source Localization.IEEE transactions on bio-medical engineering · 2023Article
- Calibration and Localization of Optically Pumped Magnetometers Using Electromagnetic Coils.Sensors (Basel, Switzerland) · 2022Article
- Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach.iScience · 2022Article
- OMMR: Co-registration toolbox of OPM-MEG and MRI.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetoencephalography (MEG) can non-invasively measure the electromagnetic activity of the brain. A new type of MEG, on-scalp MEG, has attracted the attention of researchers recently. Compared to the conventional SQUID-MEG, on-scalp MEG constructed with optically pumped magnetometers is wearable and has a high signal-to-noise ratio. While the co-registration between MEG and magnetic resonance imaging (MRI) significantly influences the source localization accuracy, co-registration error requires assessment, and quantification. Recent studies have evaluated the co-registration error of on-scalp MEG mainly based on the surface fit error or the repeatability error of different measurements, which do not reflect the true co-registration error. In this study, a three-dimensional-printed reference phantom was constructed to provide the ground truth of MEG sensor locations and orientations relative to MRI. The co-registration performances of commonly used three devices-electromagnetic digitization system, structured-light scanner, and laser scanner-were compared and quantified by the indices of final co-registration errors in the reference phantom and human experiments. Furthermore, the influence of the co-registration error on the performance of source localization was analyzed via simulations. The laser scanner had the best co-registration accuracy (rotation error of 0.23° and translation error of 0.76 mm based on the phantom experiment), whereas the structured-light scanner had the best cost performance. The results of this study provide recommendations and precautions for researchers regarding selecting and using an appropriate device for the co-registration of on-scalp MEG and MRI.
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