Benchmarking OPM-MEG using Auditory Evoked Responses
Magnetoencephalography (MEG), which non-invasively measures the magnetic field generated from neuronal clusters, has the potential for use in clinical settings for diagnosis and treatment response prediction. The conventional MEG uses superconducting interference devices (SQUIDs) that require cryogenic cooling.
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Machine Learning-Based Decoding of Executed and Imagined Finger Movements from OPM-MEG Data
Introduction: Brain-Computer Interfaces (BCIs) have many applications, including enabling communication and supporting motor rehabilitation. Decoding fine movements, such as finger movements, allows for more flexible BCI control.
Wervers, Juliƫtte Victoria
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Accurate OPM-MEG Co-Registration via Magnetic Dipole-Based Sensor Localization with Rigid Coil Structures and Optical Direction Constraints. [PDF]
Xu W +8 more
europepmc +1 more source
OPM-MEG reveals dynamics of beta bursts underlying attentional processes in sensory cortex. [PDF]
Rivero GR +13 more
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A Sensor Localization and Orientation Method for OPM-MEG Based on Rigid Coil Structures and Magnetic Dipole Fitting Models. [PDF]
Xu W +8 more
europepmc +1 more source
Automatic Removal of Physiological Artifacts in OPM-MEG: A Framework of Channel Attention Mechanism Based on Magnetic Reference Signal. [PDF]
Li Y +8 more
europepmc +1 more source
Decoding the Spatiotemporal Dynamics of Neural Response Similarity in Auditory Processing: A Multivariate Analysis Based on OPM-MEG. [PDF]
Liu C +5 more
europepmc +1 more source
A Novel Time-Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG. [PDF]
Liang X +7 more
europepmc +1 more source
Decoding the Temporal Structures and Interactions of Multiple Face Dimensions Using Optically Pumped Magnetometer Magnetoencephalography (OPM-MEG). [PDF]
Xu W +15 more
europepmc +1 more source

