ArticleNeuroImage2022
Interference suppression techniques for OPM-based MEG: Opportunities and challenges.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 104 citations in OpenAlex.
- Article
- Live magnetomyography and robotic-hand proxy control using a wearable triaxial optically pumped magnetometer.Scientific reports · 2026Article
- Case report: precise mapping and epilepsy surgery of the Broca's area after a comprehensive OPM-MEG investigation of Broca's area localization.Acta epileptologica · 2026Article
- A meta-analysis of periodic and aperiodic electrophysiological features in Parkinson's disease.Brain communications · 2026Review
- Model-based cardiac field artefact correction for OP-MEG.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Potential ofEpilepsia open · 2025Article
- Optimization and Analysis of Tangential Component Orientations in OPM-MEG Sensor Array.Bioengineering (Basel, Switzerland) · 2025Article
- SPM-30 years and beyond.Cerebral cortex (New York, N.Y. : 1991) · 2025Review
- Using Wearable MEG to Study the Neural Control of Human Stepping.Sensors (Basel, Switzerland) · 2025Article
- A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers' Magnetocardiography Signals.Biosensors · 2025Article
- Mapping neural signatures of face processing in young children: an OPM-MEG study.Social cognitive and affective neuroscience · 2025Article
- Beyond sensitivity: what are the enabling opportunities of OPM-MEG?Frontiers in medical technology · 2025Article
- Pushing the boundaries of MEG based on optically pumped magnetometers towards early human life.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Signal acquisition of brain-computer interfaces: A medical-engineering crossover perspective review.Fundamental research · 2025Review
- Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography.Bioengineering (Basel, Switzerland) · 2024Article
- Decoding the Temporal Structures and Interactions of Multiple Face Dimensions Using Optically Pumped Magnetometer Magnetoencephalography (OPM-MEG).The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- The future of quantum technologies for brain imaging.PLoS biology · 2024Article
- Applications of OPM-MEG for translational neuroscience: a perspective.Translational psychiatry · 2024Review
- A Novel Time-Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG.Bioengineering (Basel, Switzerland) · 2024Article
- An optically pumped magnetic gradiometer for the detection of human biomagnetism.Quantum science and technology · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
One of the primary technical challenges facing magnetoencephalography (MEG) is that the magnitude of neuromagnetic fields is several orders of magnitude lower than interfering signals. Recently, a new type of sensor has been developed - the optically pumped magnetometer (OPM). These sensors can be placed directly on the scalp and move with the head during participant movement, making them wearable. This opens up a range of exciting experimental and clinical opportunities for OPM-based MEG experiments, including paediatric studies, and the incorporation of naturalistic movements into neuroimaging paradigms. However, OPMs face some unique challenges in terms of interference suppression, especially in situations involving mobile participants, and when OPMs are integrated with electrical equipment required for naturalistic paradigms, such as motion capture systems. Here we briefly review various hardware solutions for OPM interference suppression. We then outline several signal processing strategies aimed at increasing the signal from neuromagnetic sources. These include regression-based strategies, temporal filtering and spatial filtering approaches. The focus is on the practical application of these signal processing algorithms to OPM data. In a similar vein, we include two worked-through experiments using OPM data collected from a whole-head sensor array. These tutorial-style examples illustrate how the steps for suppressing external interference can be implemented, including the associated data and code so that researchers can try the pipelines for themselves. With the popularity of OPM-based MEG rising, there will be an increasing need to deal with interference suppression. We hope this practical paper provides a resource for OPM-based MEG researchers to build upon.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.